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Heuristics AI

Ai research updates LLMs Reinforcement learning Deep learning GANs Stable diffusion Transformers NLP Kindly join (⁠☞⁠ ⁠ಠ⁠_⁠ಠ⁠)⁠☞ @heuristics_ai

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CriticGPT: Finding GPT-4's mistakes with GPT-4 https://openai.com/index/finding-gpt4s-mistakes-with-gpt-4/
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Finding GPT-4’s mistakes with GPT-4

CriticGPT, a model based on GPT-4, writes critiques of ChatGPT responses to help human trainers spot mistakes during RLHF

Gemma 2: Improving Open Language Models at a Practical Size [pdf] https://storage.googleapis.com/deepmind-media/gemma/gemma-2-report.pdf
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Andrew karpathy launched its llm course https://github.com/karpathy/LLM101n @heuristics_ai
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GitHub - karpathy/LLM101n: LLM101n: Let's build a Storyteller

LLM101n: Let's build a Storyteller. Contribute to karpathy/LLM101n development by creating an account on GitHub.

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Paper page - mDPO: Conditional Preference Optimization for Multimodal Large Language Models https://huggingface.co/papers/2406.11839
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Paper page - mDPO: Conditional Preference Optimization for Multimodal Large Language Models

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Creativity has left the chat: The price of debiasing language models https://arxiv.org/abs/2406.05587
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Creativity Has Left the Chat: The Price of Debiasing Language Models

Large Language Models (LLMs) have revolutionized natural language processing but can exhibit biases and may generate toxic content. While alignment techniques like Reinforcement Learning from...

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Maintaining large-scale AI capacity at Meta

Meta is currently operating many data centers with GPU training clusters across the world. Our data centers are the backbone of our operations, meticulously designed to support the scaling demands …

Nvidia Warp: A Python framework for high performance GPU simulation and graphics https://github.com/NVIDIA/warp
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GitHub - NVIDIA/warp: A Python framework for high performance GPU simulation and graphics

A Python framework for high performance GPU simulation and graphics - NVIDIA/warp

Augmenting biological intelligence with RL in C.elegans using optogenetics [pdf] https://klab.tch.harvard.edu/publications/PDFs/gk8172.pdf
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