We will talk about the most recent development in the AI space – GPT-4. A lot of you would have already heard about it, some might even be on the waitlist to get the API, and some might have tried it and tinkered around a bit with it, though we are sure, some are still to discover it. No matter where you stand, we can promise today’s episode should help you get a lot of information about GPT-4.
GPT-4 is the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model which is of course not as capable as human beings in a lot of real-world scenarios, it can still be said to exhibit human-level performance on various professional and academic benchmarks. If the claims on the OpenAI website are anything to go by, GPT-4 has passed the simulated bar exam with a score around the top 10% of the test takers. OpenAI has taken 6 months iteratively aligning GPT-4 using lessons from the adversarial testing program as well as ChatGPT, delivering the best-ever results on factuality, steerability, and keeping within the guardrails.
GPT-4 is more reliable, creative, and capable of handling a lot more than its predecessors. GPT-4 can accept inputs in the form of text as well as images. This allows users to specify any vision or language task to GPT-4. The outputs would be textual – could be a natural language, could be code, etc. Despite being multi-modal, its results are at par with text-only inputs. GPT-4 can also be augmented with test-time techniques which were intended for text-only language models, such as a few-shot or a chain-of-thought prompting.
We are eager to see how GPT-4 pans out for everyone as more and more artificial intelligence-powered technologies and developments come to the fore to empower everyone. The future is surely going to reveal some very interesting developments, disruptions, and revolutions.
