When ChatGPT was made publicly available by OpenAI a few months ago, we all witnessed the developed enthusiasm. Its 100 million members likely include you; I know I do. You can ask a question using ChatGPT, compose your own prompts, and get the best answers from a list, an idea, or a straight answer. Are they currently “in” the news, exactly? Since it is a computer that learns, most of its data are still in the “learning” stage.
ChatGPT is a phrase predictor, according to Dr Andrew Rogoyski of the Center for People-Centred AI at the University of Surrey. A system that can predict what will come after your question has memorized a billion books. Every single thing it says has already been spoken by a human. It is in no way intelligent. Driving cars, detecting illnesses, and controlling robots are all examples of more valuable and clever AI systems.
After the agreement with OpenAI and the phenomenal success of ChatGPT, Google realized it had to act. Bard then enters the scene. Google’s response to the well-known ChatGPT is Bard. According to the statement, Bard was undergoing specialized testing and will become more freely accessible to the general public in the coming weeks.
Google has invested extensively in AI, and its products frequently employ it (in Google Translate, for instance). Google is still in a good position despite Alphabet’s ownership of the top AI research company DeepMind, which is situated in the UK.
Understanding the Natural Language Processing
But a significant distinction comes down to the data sources and models they were trained on.
- Contrarily, ChatGPT employs its Generative Pre-training Transformer 3 (GPT-3) model, which is learned using data from before late 2021.
- Using Google’s Linguistic Model for Dialogue Applications (LaMDA), Google Bard can make recommendations for solutions based on real-time, up-to-date research gleaned from the internet.
Chat-GPT(4)’s Upperhand to lengthy texts with a subjective tone
ChatGPT excels in text-based tasks like creating emails or articles and developing content marketing concepts. It’s a simple text tool, but it could be better. It occasionally provides ambiguous responses and frequently does so (even when you ask it not to).
Bard, in contrast, is predicted to have superb conversational abilities and all of Google’s knowledge compressed into it.
“While GPT-3 can understand and generate a wide range of text for multiple purposes, LaMDA was explicitly designed to have more natural and open-ended conversations with humans.”
In short, LaMDA’s responses are designed to be incredibly realistic and resemble human speech, making it impossible to tell them apart from real people. Like you and I, it can alter the context when the user changes the topic. LaMDA can converse more naturally with humans but probably needs to summarise lengthy text passages.
Conversely, GPT-4, which powers other AI tools like Jasper, Copy.ai, and Bing’s AI tools, is the industry standard for natural language jobs. It is well-versed in writing for the web and is more interested in producing text based on statistical trends. It performs as a chatbot as part of ChatGPT but can also perform other tasks like summarising, translating, and interpreting.
What you’re missing out on Google Bard
The significant difference is that Bard can draw its responses from the internet, pulling in real-time data, which is appealing, given that ChatGPT is still convinced it’s 2021.
It implies that Bard will (allegedly) present more precise and factual information regarding current affairs and research. It can discuss recent scientific advancements, simplify complex discourse information, and aid in skill development (like playing the piano). It is meant to be a more sophisticated personal assistant than ChatGPT, but a recent error has already questioned its reliability.
No matter how complicated a subject is, Bard’s ability to summarize the material in an understandable style could eventually improve how people search for information.
- Bard’s knowledge base is more recent because it is based on data from the internet, as opposed to ChatGPT, which is trained on data up to 2021.
- To make it easier for users to get information on complicated topics, Bard will be integrated into Google’s search engine.
- While ChatGPT focuses more on text features, Bard is made to enhance study and comprehension in various disciplines, including education, business, and others.
- Bard is anticipated to deliver more accurate information, whereas ChatGPT requires careful prodding to provide more in-depth responses.
Google has already made hints about integrating Bard with Google Search. So that you can get insight into many viewpoints, the AI will simplify complex topics and return knowledge in digestible formats, essential for subjects with no single correct answer.
In a nutshell, here’s the data you need to know so far:
| AI | ChatGPT | Bard |
|---|---|---|
| Creators | OpenAI | |
| Language model | A modified version of the Generative Pre-training Transformer 3 from OpenAI (GPT-3) | Google’s Language Model for Dialogue Applications (LaMDA) |
| Data sources | ChatGPT was trained on a vast corpus of text that included Common Crawl, Wikipedia, books, articles, documents, and content scraped from the public internet; however, its sources expire in 2021, limiting access to the most recent global news and scientific research. | ChatGPT’s sources expire in 2021, preventing access to the most recent international news and scholarly research. ChatGPT was trained on a sizable corpus of text that comprised Common Crawl, Wikipedia, books, articles, papers, and stuff collected from the public internet. |
| Availability | Currently, ChatGPT is accessible to all users via its ChatGPT website. | Currently, Google Bard is only accessible to a small number of beta testers. |
| Pricing | OpenAI is also launching a subscription model with a paid plan (ChatGPT Plus), billed at $20/month to include access during peak hours, quicker response times, and priority access to new features. ChatGPT is free to all users. | Bard is anticipated to be free, but Google has not yet made this publicly known. |
The “Learning” Continues
However, the exceptional interest in ChatGPT, which signed up more than 100 million users in two months, shows a significant public appetite for an AI-enhanced search experience. Fans of the chatbot have praised its ability to tidy up the prose and write code to summarise documents, while correspondents given early peeks at the new AI-powered Bing have been impressed.
Experts have forewarned that large language models, the ground for Bard and ChatGPT, are prone to errors because of how they are built. These models are fed datasets incorporating billions of words that train the AI to generate plausible-sounding responses to queries. Functioning akin to predictive text, they build a model to predict the likeliest word or sentence after the user’s prompt.
But if the general interest in chatbot-enhanced search, as shown by the triumph of ChatGPT, is maintained, then Microsoft has a significant mark to aim at. Google conquers the global search market with a share of 91%, according to the internet data firm SimilarWeb, with Bing at just 3%. The rest are for other search engines.
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