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Source: The post is based on the article “What is GPT-4 and how is it different from ChatGPT?” published in Indian Express on 18th March 2023
What is the News?
AI powerhouse OpenAI announced GPT-4, the next big update to the technology that powers ChatGPT and Microsoft Bing, the search engine using the tech.
What is Generative Pre-trained Transformer (GPT)?
Generative Pre-trained Transformer (GPT) refers to a series of Large Language Models (LLMs) built by OpenAI. These models use billions of data points to read written text inputs, based on which they generate content.
What is ChatGPT?
What is GPT4?
GPT-4 is a large multimodal model created by OpenAI.It can generate content from both image and text prompts.
How is GPT4 different from ChatGPT?
GPT-4 can ‘see’ images now: The most noticeable change to GPT-4 is that it’s multimodal, allowing it to understand more than one modality of information. ChatGPT were limited to textual input and output meaning they could only read and write. However, GPT-4 can be fed images and asked to output information accordingly.
GPT-4 is harder to trick: One of the biggest drawbacks of generative models like ChatGPT is their propensity to occasionally generate prompts that raise eyebrows or worse, downright alarm people. They can also get facts mixed up and produce misinformation.
– On the other hand, GPT-4 is harder to trick and can generate the best-ever results on factuality, and steerability and does not generate prompts that raise eyebrows.
GPT-4 can process a lot more information at a time: ChatGPT model could handle 4,096 tokens or around 8,000 words but GPT-4 pumps those numbers up to 32,768 tokens or around 64,000 words.
GPT-4 is better at understanding languages that are not English: Machine learning data is mostly in English currently. So, training Large Language Models (LLMs) like GPT in other languages models is challenging. But GPT-4 is multilingual.
What are the limitations of GPT-4?
According to OpenAI, GPT-4 has a few similar limitations as its prior versions and is less capable than humans in many real-world scenarios.GPT-4 still struggles with social biases, hallucinations and adversarial prompts.
Inaccurate responses are known as “hallucinations”, which have been a challenge for many AI programs.
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