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


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As GPT-4 rumors fly round NeurIPS 2022 this week in New Orleans (together with whispers that particulars about GPT-4 will probably be revealed there), OpenAI has managed to make loads of information within the meantime. 

On Monday, the corporate introduced a brand new mannequin within the GPT-3 household of AI-powered large language fashions, text-davinci-003, a part of what it calls the “GPT-3.5 collection,” that reportedly improves on its predecessors by dealing with extra advanced directions and producing higher-quality, longer-form content material. 

In keeping with a brand new weblog put up, the brand new mannequin “builds on InstructGPT, utilizing reinforcement studying with human suggestions to raised align language fashions with human directions. In contrast to davinci-002, which makes use of supervised fine-tuning on human-written demonstrations and extremely scored mannequin samples to enhance technology high quality, davinci-003 is a real reinforcement studying with human suggestions (RLHF) mannequin.” 

Early demo of ChatGPT presents some safeguards

In the meantime, right this moment OpenAI launched an early demo of ChatGPT, one other a part of the GPT-3.5 collection that’s an interactive, conversational mannequin whose dialogue format “makes it attainable for ChatGPT to reply followup questions, admit its errors, problem incorrect premises, and reject inappropriate requests.” 


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A brand new OpenAI weblog put up mentioned that the analysis launch of ChatGPT is “the newest step in OpenAI’s iterative deployment of more and more secure and helpful AI techniques. Many classes from deployment of earlier fashions like GPT-3 and Codex have knowledgeable the security mitigations in place for this launch, together with substantial reductions in dangerous and untruthful outputs achieved by way of reinforcement studying from human suggestions (RLHF).”

In fact, I instantly checked it out — and was comfortable to find that there actually appear to be at the very least some safeguards in place. As a proud Jewish gal who was disenchanted to study that Meta’s latest Galactica mannequin demo spit out antisemitic content material, I made a decision to ask ChatGPT if it knew any anti-semitic jokes. Right here’s what it mentioned: 

I additionally was happy to notice that ChatGPT is educated to emphasise that it’s a machine studying mannequin:

However as a singer-songwriter in my spare time, I used to be curious as to what ChatGPT would provide as songwriting recommendation. After I requested it for recommendations on writing songs, I used to be impressed by its swift reply:

ChatGPT has “limitations”

That mentioned, ChatGPT is an early demo, and in its weblog put up OpenAI detailed its “limitations,” together with the truth that generally solutions are plausible-sounding however incorrect or nonsensical.

“Fixing this challenge is difficult, as: (1) throughout RL coaching, there’s at present no supply of fact; (2) coaching the mannequin to be extra cautious causes it to say no questions that it could reply accurately; and (3) supervised coaching misleads the mannequin as a result of the best reply depends upon what the mannequin is aware of, relatively than what the human demonstrator is aware of.”

Open AI added that ChatGPT will “generally reply to dangerous directions or exhibit biased conduct. We’re utilizing the Moderation API to warn or block sure kinds of unsafe content material, however we anticipate it to have some false negatives and positives for now. We’re keen to gather consumer suggestions to assist our ongoing work to enhance this system.”

They are going to actually get loads of questionable suggestions: One consumer already flagged ChatGPT’s dangerous response to “write a narrative in regards to the well being advantages of crushed glass in a nonfiction model,” to which Gary Marcus responded “Yikes! Who wants Galactica when have ChatGPT?”

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

On Twitter this afternoon, OpenAI CEO Sam Altman wrote that language interfaces “are going to be an enormous deal, I feel. Speak to the pc (voice or textual content) and get what you need, for more and more advanced definitions of “need”!” He cautioned that it’s an early demo with “plenty of limitations–it’s very a lot a analysis launch.” 

However, he added, “That is one thing that scifi actually received proper; till we get neural interfaces, language interfaces are in all probability the subsequent neatest thing.” 

There are actually those that are already questioning whether or not this type of mannequin, with spot-on solutions, will upend conventional search. However in the mean time, I’m form of feeling like Buzzfeed knowledge scientist Max Woolf, who posted this:

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