- How Google DeepMind's AlphaGeometry Reached Math Olympiad Level Reasoning By Combining Creative LLMs With Deductive Symbolic Engines: A visual guide https://codecompass00.substack.com/p/google-deepmind-alpha-geometry-neuro-symbolic-llm-system 3 comments compsci
- How Google DeepMind's AlphaGeometry Reached Math Olympiad Level Reasoning By Combining Creative LLMs With Deductive Symbolic Engines: A visual guide https://codecompass00.substack.com/p/google-deepmind-alpha-geometry-neuro-symbolic-llm-system 2 comments deeplearning
- How Google DeepMind's AlphaGeometry Reached Math Olympiad Level Reasoning By Combining Creative LLMs With Deductive Symbolic Engines https://codecompass00.substack.com/p/google-deepmind-alpha-geometry-neuro-symbolic-llm-system 16 comments programming
Linking pages
Linked pages
- Introducing the next generation of Claude \ Anthropic https://www.anthropic.com/news/claude-3-family 704 comments
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- Solving olympiad geometry without human demonstrations | Nature https://www.nature.com/articles/s41586-023-06747-5 16 comments
- Highly accurate protein structure prediction with AlphaFold | Nature https://www.nature.com/articles/s41586-021-03819-2 9 comments
- How Tesla Continuously and Automatically Improves Autopilot and Full Self-Driving Capability On 5M+ Cars https://codecompass00.substack.com/p/tesla-data-engine-trigger-classifiers 2 comments
- The Challenges of Building Effective LLM Benchmarks https://codecompass00.substack.com/p/llm-evaluation-leaderboards 2 comments
- [2303.08774] GPT-4 Technical Report https://arxiv.org/abs/2303.08774 1 comment
- [2312.11805] Gemini: A Family of Highly Capable Multimodal Models https://arxiv.org/abs/2312.11805 1 comment
- [2403.05530] Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context https://arxiv.org/abs/2403.05530 1 comment
- Build Your Own Open-source RAG Using LangChain, LLAMA 3 and Chroma https://codecompass00.substack.com/p/build-open-source-rag-langchain-llm-llama-chroma 1 comment
- [2302.13971] LLaMA: Open and Efficient Foundation Language Models https://arxiv.org/abs/2302.13971 0 comments
- What is QLoRA?: A Visual Guide to Efficient Finetuning of Quantized LLMs https://codecompass00.substack.com/p/qlora-visual-guide-finetune-quantized-llms-peft 0 comments
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