AI DSP: LLM Pipeline to Retriever Model (Stanford) Published 2024-01-29 Download video MP4 360p Recommendations 53:22 DSPy explained: No more LangChain PROMPT Templates 1:19:27 Stanford CS25: V3 I Retrieval Augmented Language Models 40:55 PEFT LoRA Explained in Detail - Fine-Tune your LLM on your local GPU 1:05:40 DSPy: Transforming Language Model Calls into Smart Pipelines // Omar Khattab // MLOps Podcast #194 1:31:13 A Hackers' Guide to Language Models 39:31 Simple ideas to improve your RAG (Stanford, Google) 2:13:35 Let's build the GPT Tokenizer 54:16 DSPy Explained! 25:38 SBTB23: Omar Khattab, DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines 40:24 Self-Reflective AI: Self-RAG for Multi-AI-Agents explained 38:09 AI State Machines - State Agents - State Spaces explained 21:02 The Attention Mechanism in Large Language Models 59:48 [1hr Talk] Intro to Large Language Models 49:24 Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW) 1:56:20 Let's build GPT: from scratch, in code, spelled out. 58:02 Large Language Models in Five Formulas 19:20 What Makes Large Language Models Expensive? Similar videos 26:44 [한글자막] AI DSP： LLM Pipeline to Retriever Model Stanford 24:57 LangChain - Advanced RAG Techniques for better Retrieval Performance 1:00:18 Prompt-Engineering for Open-Source LLMs 31:26 DSPy and ColBERT with Omar Khattab! - Weaviate Podcast #85 1:05:32 LangChain Retrieval Webinar 07:47 Large Language Models Are Zero Shot Reasoners 00:46 Day in My Life as a Quantum Computing Engineer! 19:36 AI Revolution: Top 10 AI & LLM-Powered Projects Transforming Tech in 2024 23:05 NEW DSPyG: DSPy combined w/ Graph Optimizer in PyG More results