Below are some extracts from the paper about GPT-3's performance: (link to paper) https://
arxiv.org/abs/2212.09196
v1
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@aibreakfast
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Extracts from GPT-3 Performance Paper
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GPT-3 Outperforms on IQ Test in UCLA Study
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How does GPT-3 perform on an actual IQ test? UCLA published findings on how various Language Models performed on analytical reasoning questions against an average college applicant. The AI was the clear winner.
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AI-Assisted Diagnosis Using PubMed LLM for Nerve Damage
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Sure. Your doctor is having trouble diagnosing unprovoked nerve damage to your neck. MRIs show nothing out of the ordinary. PubMed LLM has loaded the patient’s med history, and AI assessed that a recent oral surgery has a 3% probability of triggering Guillain-Barré syndrome.
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Could AI Chatbots Replace Textbooks in Education?
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Do you think AI Chatbots could eventually replace textbooks in school? Allowing students to steer their learning based on unique curiosities in a subject with a model trained on that topic could revolutionize the education model.
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Google’s 2023 PaLM AI Model with 560 Billion Parameters
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Google’s 2023 AI project: Pathways Language Model (PaLM) claims to have 560 billion parameters, nearly 3x that of OpenAI’s GPT-3
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PaLM’s Efficient Code Generation with Reduced Python Data
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Coding: writes code with natural language description (text-to-code), translates code from one language to another, and fixes compilation errors.
— AI Breakfast (@AiBreakfast) 24 décembre 2022
PaLM claims to do just as well with 50x(!) less python data in it's training set.
(That's like learning to read from just 2 books) pic.twitter.com/7lgvDOxAqACoding: writes code with natural language description (text-to-code), translates code from one language to another, and fixes compilation errors. PaLM claims to do just as well with 50x(!) less python data in it's training set. (That's like learning to read from just 2 books)
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PaLM Model Advances Multi-Step Reasoning with Chain-of-Thought Prompting
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By combining model scale with chain-of-thought prompting, PaLM also claims to show breakthrough capabilities on reasoning tasks that require multi-step arithmetic (this is big… and an area where ChatGPT currently falls short) and common-sense reasoning:
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Google PaLM Explains Complex Scenarios with Multi-step Inference
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Google also says PaLM can generate explicit explanations for scenarios that require a complex combination of multi-step logical inference, world knowledge, and deep language understanding. (For example, it can explain jokes that are made up on the spot)
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Google Preparing PaLM Chat Model in Response to ChatGPT Growth
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You may have heard the NYT report of Google issuing a "Code Red" after ChatGPT amassed 1 million users in 5 days, signaling an internal ramp-up for the deployment of their own Chat model: PaLM (Pathways Language Model)
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Google PaLM’s AI Language Understanding and Generation Abilities
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Google released some details about PaLM earlier this year:
— AI Breakfast (@AiBreakfast) 24 décembre 2022
PaLM claims "impressive" natural language understanding and generation capabilities.
For example, it can distinguish cause and effect, understand conceptual combinations, and even guess a movie from an emoji set. pic.twitter.com/ktBjOgkOwTGoogle released some details about PaLM earlier this year: PaLM claims "impressive" natural language understanding and generation capabilities. For example, it can distinguish cause and effect, understand conceptual combinations, and even guess a movie from an emoji set.