Make $0 Chatbot with LangChain, Ollama, and Gradio-Quick Overview with coding walkthrough

Поділитися
Вставка
  • Опубліковано 12 гру 2024
  • ⭐️What You'll Learn:
    Basic components of using LangChain to make LLM-based applications: LLM, prompt templates, and memory
    How LangGraph helps implement memory for chatbot
    Common chat patterns between human and AI
    Coding walkthrough to implement LLM (OpenAI and Ollama), prompt templates, and LangGraph memory
    Build quick chatbot interface with Gradio
    ⛓️Connect with Us:
    👍 Like | 🔗 Share | 📢 Subscribe | 💬 Comments + Questions
    LinkedIn: / casedonebyai
    UA-cam: / @casedonebyai
    Facebook: / casedonebyai
    TikTok: / casedonebyai
    Github: www.github.com...
    SubStack: casedonebyai.s...
    🎬Quick navigation:
    01:30 Intro to LangChain
    02:45 Main components of LangChain to build basic chatbot
    04:35 Coding walkthrough starts
    05:11 LLM definition, using OpenAI
    07:35 Prompt templates
    09:52 Memory using LangGraph
    13:50 ChatPromptTemplate, a combination of Prompt Templates and Memory
    15:20 Building Echo, the LLM Coach with Gradio
    17:02 LLM definition with Ollama and Llama 3.2
    #genai #ollama #langchain #langgraph #openai #chatbot #gradio #walkthrough #tutorial #aiforbusiness #casedone #casedonebyai

КОМЕНТАРІ •