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Edgar Cervantes / Android Authority

We finally have our hands on Google’s long-awaited Bard chatbot. It takes aim at the increasingly popular ChatGPT and Bing Chat, both of which are based on the same foundation. Meanwhile, Google has developed its own large language model for Bard, codenamed LaMDA. This is our first encounter with Google’s chatbot, but we’ve already found some aspects that separate Bard vs ChatGPT.

So in this article, let’s pit these two rival chatbots against each other and find out once and for all which one you should use.

Google Bard vs ChatGPT: Knowledge and accuracy

But what if you don’t care about the bleeding edge or recent events? Can ChatGPT keep up with Google Bard, or vice-versa? Let’s take a look at another example.

ChatGPT vs Google Bard: Coding and software development

We already have a dedicated article on ChatGPT’s outstanding ability to write code, but how does Bard perform in the same context? Google hasn’t revealed much about its language model, but it likely had some programming languages included in its training data.

Let’s test it with a straightforward example. I asked both chatbots to write code for a website that shows the current trading price of the S&P 500 index.

ChatGPT is far more capable at writing code than Bard, at least for now.

Digging into Bard’s documentation, I found this snippet: “Bard can’t help you with coding just yet. [It] is still learning to code, and responses about code aren’t officially supported for now.”

That explains everything we need to know about using Bard for software development — it simply cannot do it. So you’d probably be better off using a ChatGPT alternative designed for coding like GitHub Copilot.

ChatGPT vs Google Bard: How and where to use them?

Edgar Cervantes / Android Authority

ChatGPT has gone through numerous updates since its release, while Bard didn’t release until much later. This is probably why Google has locked Bard behind a waitlist as it continues to test its accuracy. But not everyone can join the waitlist as for now, it’s only available in the US and UK. You could use a VPN app to circumvent this restriction, but proceed at your own risk.

We had to wait about a week to access Bard after signing up for the waitlist. However, some owners of Google Pixel phones and Nest products also got early access to the service.

ChatGPT vs Google Bard: Limitations and pricing

Edgar Cervantes / Android Authority

We already know Bard cannot write code. However, it also cannot generate text in languages other than US English, although Google says it’s working to lift both of those restrictions. On the other hand, even though English accounted for over 90% of ChatGPT’s training data, it supports many more languages. You can talk to ChatGPT in French or Chinese, for example, and it will even respond in that language.

Moving on, ChatGPT can hold multiple conversations in memory at once. You can return to past conversations via the history bar to the left of your screen. On the other hand, Bard can only keep track of one conversation at a time. And while both chatbots hold some context in a single conversation, Google has placed intentional limits on how much Bard can remember.

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Bard Ai Vs Chatgpt: A Comprehensive Comparison

Artificial intelligence has revolutionized the way we interact with technology. AI chatbots, in particular, have gained significant popularity, as they provide human-like responses to user queries. Two prominent AI chatbots in the market today are Bard AI and ChatGPT. While both are designed to simulate human conversation, there are several differences that set them apart. In this article, we will delve into the features, capabilities, and functions of Bard AI and ChatGPT, and explore their strengths and limitations.

See More : ChatGPT vs GPT-4: Which One Reigns Supreme

Bard AIChatGPTData SourceReal-Time Information at its FingertipsA Predefined Set of InformationModelPowered by LaMDAGPT-3.5 Powers ChatGPTFunctionEmpowering Research and UnderstandingText Functions at the ForefrontCapabilitiesAccuracy and ReliabilityDetailed Responses with Careful PromptingComparisonReal-Time Data vs. Language GenerationUser ExperienceIntegrated into existing applications or platformsAccessed through an interactive web interfaceLimitationsContextual Understanding and Ethical ConcernsContextual Understanding and Ethical Concerns

Data Source: Real-Time Information at its Fingertips

Model: Powered by LaMDA

Function: Empowering Research and Understanding

Capabilities: Accuracy and Reliability

Comparison: Real-Time Data vs. Language Generation

User Experience: Integrated into existing applications or platforms

Limitations: Contextual Understanding and Ethical Concerns

Data Source: A Predefined Set of Information

Model: GPT-3.5 Powers ChatGPT

Function: Text Functions at the Forefront

Capabilities: Detailed Responses with Careful Prompting

Comparison: Real-Time Data vs. Language Generation

User Experience: Accessed through an interactive web interface

Limitations: Contextual Understanding and Ethical Concerns

Also Read : MiniGPT-4: A Breakthrough in Vision-Language AI

There is a wide range of AI chatbots available in the market, and ChatGPT and Bard AI are two notable options among them. Other AI chatbots in the market include Drift Conversational AI, Socratic, Freshchat, Bold360, Jasper, YouChat, Chatsonic by Writesonic, and the new Bing. These chatbots differ in their capabilities, pricing, and target audience. For instance, some chatbots operate based on predefined rules without AI capabilities, while others utilize AI to interact with users through typed responses. Certain chatbots cater specifically to industries such as hospitality, legal, customer service, finance, eCommerce, entertainment, and concierge services. When selecting an AI chatbot, it is essential to consider factors such as reliability, availability, cost, and the specific use cases in which each program excels.

Bard AI and ChatGPT are both powerful AI chatbots that excel in different areas. Bard AI’s real-time data access and reliance on Google’s LaMDA model make it a reliable source of accurate and up-to-date information, focusing on research and understanding. ChatGPT, powered by OpenAI’s GPT-3.5 model, shines in text generation and summarization tasks, offering detailed and contextually relevant responses.

Choosing between Bard AI and ChatGPT depends on specific requirements and use cases. If real-time information and accuracy are paramount, Bard AI is a compelling choice. On the other hand, if text generation and creative writing capabilities are needed, ChatGPT’s language generation prowess makes it a valuable tool. Ultimately, understanding the strengths and limitations of each chatbot can help users make an informed decision based on their unique needs.

1. What are AI chatbots?

AI chatbots are software programs that use natural language processing (NLP) algorithms to understand and respond to user inputs, aiming to simulate human conversation and provide interactive and informative experiences.

2. What is Bard AI?

Bard AI is an AI chatbot that leverages real-time information and is powered by Google’s LaMDA model. It focuses on empowering research and understanding by providing reliable and accurate responses.

3. What is ChatGPT?

ChatGPT is an AI chatbot powered by OpenAI’s GPT-3.5 model. It excels in text functions and offers detailed and contextually relevant responses. It can be accessed through an interactive web interface.

4. How does Bard AI gather information?

Bard AI has real-time data at its fingertips, allowing it to access up-to-date information from various sources to provide accurate responses.

5. How does ChatGPT obtain information?

ChatGPT relies on a predefined set of information, which means it does not have access to real-time data. It uses the knowledge it has been trained on to generate responses.

6. What are the key functions of Bard AI?

Bard AI is designed to empower research and understanding. It can assist users in obtaining accurate and reliable information on various topics.

7. What are the key functions of ChatGPT?

ChatGPT excels in text functions, such as generating detailed responses and performing summarization tasks. It is particularly useful for tasks involving language generation and creative writing.

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Google Sparrow Vs. Bard: A Comprehensive Analysis

Google Sparrow and Bard are two different AI-powered initiatives by Google that showcase the potential of AI in enhancing human creativity and personalizing search results.

When comparing Google Sparrow and Bard; they are AI chatbots powered by different versions of Google’s Language Model for Dialogue Applications. They differ in their capabilities, features and goals.

You can find everything about Google Sparrow and Bard in this article.

Additionally, you can find how Google Sparrow differs from Bard models and how to choose one.

Google Sparrow Vs. Bard: Similarities And Differences

Google Bard and Sparrow are two AI chatbots that are powered by different versions of Google’s Language Model for Dialogue Applications (LaMDA), a large language model (LLM) that can generate natural and fluent responses to any kind of prompt.

They have some similarities in their features and goals but also some differences.

What Is Google Sparrow?

It is based on the GPT-3 model designed to analyze the received text from the users and generate the responses.

Sparrow was introduced in September 2023 in a paper; regardless, it is in the research phase and has not been released publicly.

DeepMind CEO Demis Hassabis says a private beta version of Sparrow will be released in 2023.

Moreover, it can learn and draw information from Google searches. Besides, this model pays attention to accuracy, safety and practicality.

Unlike other chatbots that have gained popularity, Sparrow hasn’t been able to generate as much buzz due to the absence of a public API with it.

How Does Google Sparrow Work?

Sparrow is designed to talk with users, answer queries and search for information using Google.

The training model in Sparrow is similar to that of ChatGPT.

Meanwhile, it follows RLHF (Reinforcement learning from Human Feedback) protocols and large language models.

The working model of Google Sparrow is described below;

1. Pre-Training Language Models

RLHF is based on people’s feedback which is used to train Sparrow.

Additionally, Sparrow is trained with a rule model to indicate when it breaks the rules. This is done by asking participants to try and trick Sparrow.

This model shows answers with or without evidence retrieved from the internet and also determines when the answer should be supported with the evidence.

Sparrow presents four possible answers without supporting evidence when prompted with a query and initiates two Google search queries that could potentially yield two relevant results.

2. Reward Model Training

For each search, these results are conditionally sampled.

All results are scored by a Preference Reward and Rule Reward models, and the highest-scored result is shown to the users.

According to the participants, Sparrow’s answers are credible and support 78% of the evidence of the time.

Despite its capabilities, Sparrow is not immune to being fooled or tricked by participants, indicating that there is still room for improvement in its design and functionality.

What Is Google Bard?

Its main goal is to retrieve information simply, like a digital assistant.

Moreover, it provides human-like conversational responses and generates and edits text.

Bard can access Google’s search engine. It is more likely to compete with Microsoft’s new AI Bing Chat, which can access the entire web.

However, you cannot see the citations footnote with the information links.

Read more to learn how to use Microsoft’s new AI Bing Chat.

How Does Google Bard Work?

Google Bard can only handle U.S. English language. Bard’s response addresses NORA questions which means No One Right Answer.

Here is how the Google Bard model works;

1. Flow Of Information

Bard provides the Knowledge Graph Card in the search when making queries that have simple answers, such as word definitions or overviews about a person or place.

Moreover, you can help the Bard chatbot by using the thumbs-up or thumbs-down buttons.

Bard chatbot also have a drafts option that allows you to select from the different answer in bullet format. A Reset chat button exists to terminate and start a new chat session.

Further, you can access the Bard Activity, which allows seeing the history of your searches.

There is not much documentation about how Google has refined the technology for use in Bard; however, you can find documentation on how large language model works.

2. Training Data Set

Bard first uses the LaMDA language model to understand the queries and then draws the information it finds across the web to form a conversational reply.

It uses a type of neural network called a Transformer to understand and generate human-like language.

Training data works by enabling LaMDA to learn from a large amount of data enabling it to achieve objectives, quality and safety.

3. Pre-Training

In the pre-training process, LaMDA is trained on a large dataset of 1.56 trillion words from public dialog data and public web documents.

This dataset covers a wide range of topics and domains. It also helps LaMDA learn general knowledge and skills.

4. Fine Training

LaMDA is trained to perform generative and classification tasks in the fine-tuning process.

Generative tasks produce natural language responses to give contexts, while classification tasks predict each response’s safety and quality.

In this way, LaMDA learns how to generate responses and avoid inappropriate responses.

Comparatively, Bard provides high-quality and accurate responses to the user’s queries.

How To Join Google Bard Waitlists?

Bard is now available only in the U.S. and U.K. If you reside in a country where Google Bard is available, you must pass the waitlist to access it.

You can sign up for the waitlist with these instructions.

First, visit the Google Bard homepage, and you will be directed to the landing page.

Finally, select Yes, I’m in to join the waitlist. You will get an email notification when you get access to Bard.

If Bard is not supported in your region, you can still access it by using VPN.

Note: Users cannot access Bard with Google Workspace accounts, so use your personal Google account.

Google Sparrow Vs. Bard: Similarities

Google Sparrow will be learning from responses just like Bard. Some of the similarities between them are:

1. Architecture And Development

Sparrow and Google Bard are AI chatbots based on the Transformer architecture, a neural network that can learn from large text data and predict the next words in a sequence.

However, they use different versions of Google’s Language Model for Dialogue Applications.

2. Large Language Model

Sparrow and Google Bard use large language models (LLMs) to generate natural and fluent responses to any prompt.

LLMs are a kind of AI technology that learns by analyzing vast amounts of text data from various sources on the web.

Furthermore, they both draw on information from the web to provide accurate answers when possible.

3. Pre-Training With Data

Google Sparrow and Bard are pre-trained on a large corpus of text data. Besides, they both use information from the web to provide high-quality responses.

Yet, they face similar challenges and limitations, such as biases, inaccuracies, and ethical concerns.

4. Large Parameter Sizes

The exact number of parameters of Sparrow and Google Bard is not publicly available.

However, some sources say Google Bard may have up to 2 billion parameters.

Similarly, Sparrow uses a modified version of LaMDA, which may have more parameters than Bard.

Read on to learn the similarities and differences between Google Bard and ChatGPT.

Google Sparrow Vs. Bard: Major Differences

Sparrow and Bard differ from one another in the way they collect data and learn.

They both are AI chatbots powered by different versions of Google’s LaMDA.

However, they differ in their capabilities, features and goals.

Google SparrowGoogle Bard

It is a project by DeepMind aims to create a safer and reliable dialogue chúng tôi is an experiment by Google that lets users experience a chat interface.

Powered by Transformer, a neural network architecture.Powered by a lightweight version of LaMDA.

Can answer questions but it will cite sources for its chúng tôi answer question,generate content and suggest queries for Google Search.

Learn and draw information from Google’s chúng tôi generate responses based on web information.

Designed to be more helpful, correct and harmless.designed to combine breadth of the World’s knowledge with the power, intelligence.

Introduced as a proof of concept in research paper but is has not been released to public yet.Available in UK and USA but still not available widely.

Now, let’s look into the differences between these two platforms in detail.

1. Mission And Reach

The mission of Google Sparrow and Bard is to provide AI-powered conversation using LLM.

They both aim to help people with various tasks such as boosting, accelerating, explaining concepts and providing personalized assistance.

However, they both are still in the experimental phase. Bard is currently open for limited users in U.S. and UK, while Sparrow is still in the research stage.

2. Learning/Training Data

Google Sparrow and Bard are trained on large web text and dialog data sets, while the exact sources of their training data are not disclosed by Google publicly.

Google Bard is powered by a lightweight version of LaMDA, where its LLM was pre-trained on 1.56 trillion words.

The Infiniset consists of 12.5% C4-based data, 12.55 English language Wikipedia, 12.5% code documents, tutorials, 6.25% English web documents, 6.25% Non-English web documents and 50% dialog data from public forums.

Whereas Google Sparrow is based on a new LLM that DeepMind is developing.

However, the detail of this LLM is not revealed yet. DeepMind has been working on various LLMs, such as Gopher and switch models.

3. Deployment And Purpose

Google Bard is designed as a complementary experience to Google Search, which allows you to check its responses or explore sources across the web.

Regardless, Sparrow is imagined as a more independent, personalized assistant that can learn from your interests and priorities.

The Bottom Line

Google Sparrow and Bard represent two different approaches to conversational AI, each with its own strengths and weaknesses.

As these chatbots evolve and improve, they may offer new possibilities and challenges for users and developers.

AI-powered conversational interfaces can predictably lead to further innovations and improvements.

Hopefully, this article helps you learn more about Google Sparrow and Bard.

Continue reading to find out how to access Google Bard and use Google Bard properly.

5 Ways That Chatgpt Is Better Than Google Bard

While both Google Bard and ChatGPT are complementary tools that both have their place, ChatGPT is a little further down the road in its evolution, and there are several ways it holds an edge over its Google rival.

See More: How to Use ChatGPT 4 For Free

ChatGPT’s ability to generate code from natural language prompts is truly remarkable. It can create complex scripts with just a few simple instructions. For example, if you tell ChatGPT to “create a website for my business that includes a contact form,” it will generate the necessary code for a website, complete with a functional contact form.

Not only is ChatGPT able to generate code for websites, but it can also create code for games. For instance, if you ask it to “create a simple game that involves jumping over obstacles,” it can generate code for a game that meets your requirements. You could then take that code and modify it to create your own unique game.

See More: How To Use ChatGPT For Coding In 2023

Another impressive use case for ChatGPT’s coding skills is its ability to create rival apps to popular ones. For example, if you ask it to “create an app like Uber, but for bicycles instead of cars,” it can generate code for an app that allows users to rent bicycles instead of cars.

While ChatGPT’s coding abilities are not perfect, it is certainly ahead of Google Bard in this regard. Google admits that Bard is still learning to code and is not officially supported for coding responses. With the arrival of ChatGPT’s more powerful GPT-4 model as part of ChatGPT Plus, it’s likely that its coding abilities will only improve further.

Are you feeling stuck with writer’s block or in need of a muse to spark your creativity? Look no further than ChatGPT. This AI sidekick is a powerful tool for generating text and coming up with new ideas, making it a perfect companion for writers, poets, and even screenwriters. Compared to the more limited Google Bard, ChatGPT can handle more input limits and continue a conversation for much longer without forgetting the context. So whether you need help brainstorming, generating fresh ideas, or refining your existing work, ChatGPT is the creative partner you’ve been looking for.

ChatGPT’s abilities as a teacher are truly impressive. It has the remarkable capability to explain complex topics in an engaging and easy-to-understand manner, making it a valuable resource for anyone seeking to learn something new. Unlike Google Bard, ChatGPT’s responses are more descriptive and often include helpful analogies to simplify difficult concepts. Whether you’re a student struggling to understand a difficult subject, or simply curious about a particular topic, ChatGPT can provide the answers you need in a way that is both informative and enjoyable.

ChatGPT’s expansive knowledge base makes it a reliable resource for information on various topics. Unlike Google Bard, ChatGPT is designed to handle a broader range of questions and discussions, including niche topics that may not be covered by more general search engines. Whether you’re seeking answers on a particular scientific theory or the history of a specific region, ChatGPT is capable of providing insightful and informative responses. Its ability to understand context and provide accurate information makes it a valuable tool for anyone seeking knowledge on diverse subjects.

ChatGPT’s ability to provide human-like responses is one of its standout features, making it a more relatable and engaging conversational partner compared to Google Bard. ChatGPT’s responses are often infused with humor, empathy, and personality, which can make interactions feel more like talking to a friend than a machine. Additionally, ChatGPT’s superior memory means that it can recall previous conversations and continue them seamlessly, adding to the feeling of conversing with a human-like companion.

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Google Tasks Vs. Google Keep: Which Is Better?

Google has a history of creating similar apps that serve the same purpose. That was the case with the email clients Gmail and Inbox and the messaging apps from Google — Allo and Hangouts. 

Google Tasks and Google Keep are in a similar situation. They’re two apps that help you manage your workload by creating tasks. However, these two have a few significant differences that can influence your choice of one app over the other. So let’s explore both apps and their key features to see which app is a better task manager for you.

Table of Contents

Google Tasks vs. Google Keep: How They’re Different

It’s clear how Google Tasks and Google Keep are similar: both apps are there to help you create and organize tasks. Plus, both apps are available to use on the same number of platforms. You can use Google Keep and Google Tasks on your smartphone (Android and iOS), as well as on your computer, and both apps have the web version that you can access from your browser. 

At the same time, the differences between Google Keep and Google Tasks aren’t as noticeable. They’re different in design, integration with other Google apps, and cater to different users. 

Interface & App Design

The most significant difference between the two apps is their interface. In short, if you prefer minimalistic app design, choose Tasks. On the other hand, if you prefer more detail and extra features in your apps, then you’ll like Keep.

Google Tasks is intuitive, and you’ll have no trouble navigating the app even if you’ve never used it before. The app’s design won’t distract you from your main goal i.e., creating more tasks. Creating new tasks, sub-tasks, and lists and organizing them is also simple.

Google Keep offers a more complex structure. The Post-It board format gives you the freedom to organize it more creatively. Keep is excellent for those who prefer adding more color and visuals to their to-do lists. Keep is for those users who want to abandon the “list” format and use labels, hashtags, and various color codes to organize their tasks. Google Keep also allows you to attach links and media files to your tasks.

In short, Google Tasks is more straightforward and task-oriented, while Google Keep is better for adding notes and media elements to your to-do list. 

Type of Reminders

One big difference between Google Keep and Google Tasks is in the way each app handles task reminders. 

Both Google Keep and Google Tasks allow you to create reminders for your tasks. However, Google Keep is somewhat limited in the type of reminders you can make. For example, you can only create a reminder for an entire list of tasks and not for individual list entries. 

Google Tasks is the opposite. You can only create a reminder for an individual task and not for the whole list. 

Some users might say that Google Keep’s a little ahead of Tasks on this one, as it also allows you to create time and location-based reminders. 

Unfortunately, Google Tasks is limited to time-based reminders only. 

Google Apps Integration

Both Google Keep and Google Tasks are available across all Google platforms. You can use both apps in Google Drive, Gmail, Google Docs, etc. However, you’ll notice that Google Tasks works better paired with Gmail, and Google Keep offers better integration with Google Docs.

If you’re an active Gmail user, you’ll probably lean towards Google Tasks. You can create tasks and lists directly from Gmail using Google Tasks and drag and drop emails right into your new task items. Unfortunately, Google Keep doesn’t have this function.

Instead, Google Keep is a better fit for anyone who spends a lot of time working in Google Docs. You can drag and drop your notes from Google Keep right into your documents in Google Docs. You won’t be able to do the same using Google Tasks. 

Collaboration Options

When choosing between the two apps, you need to ask yourself who will use your task lists. If it’s just you, then Google Tasks is more than enough. However, if you’re also looking to share your task and notes, then you’ll be better off using Google Keep.

Google Tasks doesn’t offer any collaboration features. You can’t share individual tasks or task lists with other users online, and the to-do lists stay with you. 

On the other hand, Google Keep is a collaborative tool by design. The app makes sharing your notes with other users quick and easy. 

To share your Google Keep card, locate it on the Google Keep task board and select the Collaborator icon at the bottom of it. 

Add the email of the person (or persons) with whom you want to share your card. Then select Save to confirm. 

Collaborators will be able to read and edit your notes and tasks in Google Keep. 

Google Tasks vs. Google Keep: Which Is Best for You? 

Google Tasks and Google Keep are both great for creating and organizing your tasks. However, to answer which app is better, you need to decide the type of user you are and what goals you’re trying to achieve. 

Google Tasks is perfect for someone who likes minimalism and wants a straightforward digital to-do list as their task management app. On the other hand, Google Keep is more visually appealing and more customizable. It’s perfect for those who want to add more detail and notes to their tasks. 

7 Reasons Why Chatgpt Is Causing Panic To Google

What To Know

ChatGPT: A language model created by OpenAI designed to generate natural responses to user queries. 

Microsoft’s Bing’s gains: Microsoft has integrated the latest GPT-4 model into the new Bing, making it a really strong contender to Google search after all these years. 

Google Bard’s Debacle: The live demo of Google’s own AI chatbot ‘Apprentice Bard’ is criticized for producing inaccurate results to simple queries; Google loses $100 billion in market value.

Language-based AI models are all the rage in the world today, and OpenAI’s ChatGPT is at the center of it all. From writing an essay to delivering computer codes on demand, there’s a long list of possibilities that open up with ChatGPT (and similar chatbots): a potentiality that is looking to transform and upend the Google-led search engine industry.

With Microsoft’s multibillion-dollar backing for the next generation of web search, folks at Google find themselves behind the eight ball, staring at a very real downturn in their ad-based revenue source.

But how have the stars aligned for ChatGPT, and Microsoft by extension, to take such giant strides as to cause panic to a giant like Google and leave them red-faced? If you’re not familiar with the meteoric rise of a startup like OpenAI and its industry-disrupting chatbot ChatGPT, you need to be.

Related: Is GPTZero Accurate? Can GPTZero Detect ChatGPT? Here’s What Our Tests Revealed

1. ChatGPT: A tech that makes Google feel like a stone-age artifact

Within five days of its launch, no less than a million users flocked to ChatGPT to explore the platform. The number has since rocketed to more than 100 million. By comparison, TikTok and Instagram took many months and years (respectively) to garner that many users. But what is ChatGPT in a nutshell? Let’s hear it from the horse’s mouth. 

Traditionally, if you want to find information on a topic, you open Google, and you google for it (an act that has reserved its own verb). You get a bunch of links to websites where the answer may be found. But it’s you who has to scour through them to get what you need. ChatGPT, on the other hand, is designed for one thing only: to cut down on all that search and literally tell you, in a conversational style, whatever it is that you’re looking for.   

Fed on a massive data set of books, articles, and the world wide web, ChatGPT’s technology leverages OpenAI’s GPT3 AI platform – the largest neural-language model ever produced, tuned to understand human queries and generate appropriate responses.

2. Microsoft’s multibillion-dollar backing

Co-founded by Elon Musk and Sam Altman, ChatGPT has been in the news ever since its inception in 2024. But Microsoft has been the most notable investor, with prior investments in 2023 and 2023, and a whopping $10 billion investment in 2023 to accelerate ChatGPT’s development and integrate it ever so closely with its own services.

OpenAI’s previous success came with Dall-E, an AI-based text-to-image tool that turns text prompts into realistic, often surrealistic, images. And now, with ChatGPT, OpenAI has really upped the stakes when it comes to how we, the users, interact with the web.

Clearly, Microsoft has struck gold with ChatGPT. At a time when the Google-dominated search engine industry is ripe for a transition, Microsoft is definitely ahead of the curve even as other competitors look to develop their own AI-based chatbots. However, they are still far behind what ChatGPT is able to do. 

3. ChatGPT’s Bing Integration

Microsoft has already integrated the latest version of the ChatGPT technology (GPT-4) into its new Bing search and Edge browser. What we know as ChatGPT thus far was only a demo of its capabilities, a preface to what’s about to come. OpenAI CEO Sam Altman recently called ChatGPT a cool but horrible product, one that “was really not designed to be used”, and claims the new AI-powered Bing offers better utility in terms of search. Such claims may be well-intentioned, but they are yet to be tested on a wide scale since the new Bing is only available to a limited number of users, and one needs to sign up and be waitlisted first in order to preview it. 

4. Google set to lose a buck

The success of ChatGPT and the ongoing development of other similar AI tools have had Google scratching its head for a way to get back in the race. But it is not that Google doesn’t have anything to offer. It did launch its AI-language model LaMDA in 2023 but may have missed the bus in launching a user-oriented product early enough. That is where its latest offering, the Apprentice Bard, a homegrown AI chatbot, comes into the picture, albeit only to make a bad situation worse.   

5. Apprentice Bard’s (in)ability to keep up with the evolving industry

In all respects, Google’s scramble for a response in the form of Bard was rushed. In the live demo presentation, Bard faced criticism for generating inaccurate results for a simple factual query – something that the next-gen of search/query platforms ought to do.

It was clear to anyone watching the presentation that Google had shot itself in the foot, and sure enough, Google’s stocks came tumbling down, costing the tech giant $100 billion in market value. 

But that is not to say that ChatGPT doesn’t have its own faults and inconsistencies. It, too, has had problems generating factually correct answers in the past. Sam Altman had said much about it. But the debacle around Bard’s factual inaccuracies, that too during a live presentation, was plain unfortunate and cost Google dearly. And to think that it happened just a day before Microsoft unveiled the new Bing with integrated ChatGPT.    

Google’s ‘Code Red’ may have been issued to speed up the development of its AI services, but an undercooked chatbot has only managed to leave them red-faced with nowhere to hide.

6. Demo debacles and industry concerns

Bard’s opening disaster has raised the perennial question of trust when using AI-driven chatbots. Cutting corners and producing inaccurate results is one thing. But there are larger issues yet to be addressed, such as chatbots posting racist, misogynist, or xenophobic language. Such problems have plagued chatbots before and had to be taken down before they could reach a wider audience – the same reason why Google kept Apprentice Bard away from the public’s eye until they decided to go ahead with it anyway. 

The OpenAI team has kept filters to prevent users from receiving offensive responses. For instance, you can’t tell it to write a racist story. You’ll only end up with a polite refusal from the bot. But, in the early days of ChatGPT, users had reported similar issues with ChatGPT as well.

However, this may not be replicable as OpenAI has made the filters more stringent since then. Nevertheless, it does highlight the key problem of AI. Contextual nuances may be lost on a chatbot, but they are often assaulting obvious to humans.   

7. All’s not well in AI wonderland

The next crop of AI chatbots will need to seriously address concerns over quasi-scientific claims and offensive content that can sometimes come already baked into the AI itself. Microsoft’s Bing and Edge may have integrated the latest GPT model in their services (with Microsoft 365 products soon to get that upgrade), but only time will tell how it is received globally. In the meantime, Google will have to pull up its socks and get ready for the long grind in an industry that will soon be transitioning away from traditional search engines to AI-powered chatbot integration that is here to change a whole lot for a whole lot of people.

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