🚀🔍 AI papers deep dive: LLM understanding, RAG, CoT скачать в хорошем качестве

🚀🔍 AI papers deep dive: LLM understanding, RAG, CoT

🌐 RA-DIT Retrieval-Augmented Dual Instruction Tuning: Enhancing RAG systems by fine-tuning both the LM & retriever. Implementation in LlamaIndex. 📆 FreshLLM: Leveraging search engines to keep LLMs updated with the latest info. 🧠 Analogical Reasoners: Automatically guides the reasoning of LLMs for a better chain-of-thought. ✨ On AI transparency & interpretability, two pivotal papers: Representation Engineering: A Top-Down Approach to AI Transparency Decomposing Language Models Into Understandable Components #ArtificialIntelligence #AIpapers Links: https://arxiv.org/abs/2310.01352   / 1709646787076935818   https://arxiv.org/pdf/2310.03214v1.pdf https://arxiv.org/pdf/2310.01714.pdf https://www.ai-transparency.org/ https://www.anthropic.com/index/decom... https://transformer-circuits.pub/2023... 00:00 intro 01:04 RA-DIT Retrieval-Augmented Dual Instruction Tuning 04:17 FreshLLMs 07:02 Analogical Reasoners 10:07 Representation Engineering 14:18 Decomposing Language Models Into Understandable Components 🔔 SUBSCRIBE to my channel: https://www.youtube.com/c/SophiaYangD... ⭐ Stay in touch ⭐ 📚 DS/ML Book Club: http://dsbookclub.github.io/ ▶ YouTube:    / sophiayangds   ✍️ Medium:   / sophiamyang   🐦 Twitter:   / sophiamyang   🤝 Linkedin:   / sophiamyang   💚 #ai