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LangChain Fundamentals: GPT-3 and Open Source LLMs
LangGraph Deep Dive: Build Better Agents

LangGraph Deep Dive: Build Better Agents

LangChain Fundamentals: GPT-3 and Open Source LLMs

الدرس السابق الدرس التالي

محتوى الكورس

جميع الدروس
17 درس
20:16 Getting Started with GPT-3 vs. Open Source LLMs - LangChain #1
22:57 Prompt Templates for GPT 3.5 and other LLMs - LangChain #2
16:38 LLM Chains using GPT 3.5 and other LLMs — LangChain #3
29:49 LangChain Data Loaders, Tokenizers, Chunking, and Datasets - Data Prep 101
26:30 Chatbot Memory for Chat-GPT, Davinci + other LLMs - LangChain #4
20:54 Chat with OpenAI in LangChain - #5
31:00 Fixing LLM Hallucinations with Retrieval Augmentation in LangChain #6
32:17 LangChain Agents Deep Dive with GPT 3.5 — LangChain #7
24:58 Create Custom Tools for Chatbots in LangChain — LangChain #8
18:45 Build Conversational Agents with Vector DBs - LangChain #9
27:42 Streaming for LangChain Agents + FastAPI
18:46 LangChain Multi-Query Retriever for RAG
25:38 LangChain Expression Language (LCEL) Explained!
20:22 New LangChain XML Agents
32:26 LangGraph 101: it's better than LangChain
46:13 LangGraph Deep Dive: Build Better Agents
47:55 Local LangGraph Agents with Llama 3.1 + Ollama