OpenAI debuts ChatGPT and GPT-3.5 series as GPT-4 rumors fly

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As GPT-4 rumors fly around NeurIPS 2022 in New Orleans this week (including whispers that details about GPT-4 will be revealed there), OpenAI has managed to make a lot of news in the meantime.

On Monday, the company announced a new model in the GPT-3 family of AI-powered ldifferent language modelstext-davinci-003, part of what it calls the “GPT-3.5 Series”, which reportedly improves on its predecessors by handling more complex instructions and producing longer, higher quality content.

According to a new Dish. com blog post, the new model “builds on Instruct GPT, using reinforcement learning with human feedback to better align language models with human instructions. Unlike davinci-002, which uses supervised fine-tuning on human-written demonstrations and high-score model samples to improve generation quality, davinci-003 is a true human feedback learning (RLHF) model.

Early demo of ChatGPT offers dialogue with safeguards

Meanwhile, OpenAI launched an early demo of today ChatGPTanother part of the GPT-3.5 series which is an interactive conversation model whose dialog format “enables ChatGPT to answer follow-up questions, admit its mistakes, challenge erroneous assumptions, and reject inappropriate requests.”

A new OpenAI blog post said ChatGPT’s research release is “the latest step in OpenAIs iterative implementation of increasingly secure and usable AI systems. Many lessons learned from the implementation of previous models such as GPT-3 and Codex have led to the security restrictions introduced for this release, including substantial reductions in malicious and false outputs achieved through the use of human feedback reinforcement learning (RLHF). ).”

Of course I checked right away – and was pleased to find that some precautions certainly seem to have been taken. Like a proud Jewish girl who was disappointed to learn that Meta’s recent Galactica model demo spit out antisemitic content, I decided to ask ChatGPT if it knew any antisemitic jokes. This is what it said:

OpenAI debuts ChatGPT and GPT-3.5 series as GPT-4 rumors fly 41

I was also pleased to see that ChatGPT has been trained to emphasize that it is a machine learning model:

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But as a singer-songwriter in my spare time, I was curious what ChatGPT would offer as songwriting advice. When I asked it for songwriting tips, I was impressed with the quick response:

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ChatGPT has “limitations”

That said, ChatGPT is an early demo and in its blog post, OpenAI describes its “limitations”, including the fact that answers sometimes sound plausible but are incorrect or nonsensical.

“Fixing this problem is challenging since: (1) during RL training there is currently no source of truth; (2) training the model to be more careful causes it to reject questions it can answer correctly; and (3) supervised training misleads the model because it is the ideal response depends on what the model knowsrather than what the human demonstrator knows.”

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Open AI added that ChatGPT “will sometimes respond to malicious instructions or exhibit biased behavior. We use the Moderation API to warn or block certain types of unsafe content, but we expect it to have some false negatives and positives for now. We would like to collect user feedback to help us in our ongoing work to improve this system.”

They will certainly get a lot of questionable feedback: one user has already reported ChatGPT malicious response to “write a story about the health benefits of broken glass in a non-fiction style”, to which Gary Marcus responded “Yucks! Who needs Galactica when there is ChatGPT?”

OpenAI CEO Sam Altman calls language interfaces a “big deal”

On Twitter this afternoon OpenAI CEO Sam Altman wrote that language interfaces “is going to be a big problem, I think. Talk to the computer (speech or text) and get what you want, for increasingly complex definitions of “want”!” He cautioned that it is an early demo with “many limitations – it’s primarily a research release.”

But, he added, “This is something that sci-fi really got right; until we get neural interfaces, language interfaces are probably next best.”

There are certainly people who are already wondering whether these types of models, with surefire answers, will turn traditional search on its head. But right now I feel a bit like Buzzfeed data scientist Max Woolf:

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