137 pages of very conceptual principals around Machine Learning, Object Detection, and Computer Vision. Here's some early concepts of pattern recognition, building descriptions, and enforcement:
@aibreakfast
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MIT’s 1971 Artificial Intelligence Progress Report Revealed
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Insane find: MIT's Artificial Intelligence Progress Report from 1971 Here's a look inside
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Google’s PaLM benchmark results and open-source RLHF implementation
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Google's PaLM beats GPT-3 on 28 out of 29 Natural Language Processing tasks (!) and was just open-sourced for reinforcement training as of today: https://
github.com/lucidrains/PaL
M-rlhf-pytorch
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Google’s PaLM: A 540B Parameter Language Model Explained
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— AI Breakfast (@AiBreakfast) 29 décembre 2022
You've heard a lot about ChatGPT But in the next few weeks, you'll start to hear about another model that could be 3x more powerful than ChatGPT: PaLM Google's Pathways Language Model (PaLM) a 540-billion parameter model trained with the Pathways system Here's what we know
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Google PaLM/Minerva Outperforms Students on Polish Math Exam
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Google PaLM/Minerva outperformed students on the 2020 Polish math exam. A real question from the test, and subsequent correct answer by AI.
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GPT-based Plagiarism Detection Tool on Huggingface
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GPT “plagiarism” detector https://
huggingface.co/openai-detecto
r/
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GPT-3.5 Scores Higher Than Average College Student in Logic
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GPT-3 scored higher than the average college student across the board. "If a student scores ~38% in logic, while GPT-3.5 scores ~80%, does this mean that GPT-3.5 has an IQ score far above 120, equivalent to the 90th percentile?" -Dr. Alan D. Thompson @dralandthompson
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GPT-3 Outperforms Humans on Multiple Problem Types
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GPT-3 outperformed human participants on all problem types, both in terms of generative accuracy… and multiple-choice accuracy
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Extracts from GPT-3 Performance Paper
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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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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.