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Building the Future with LLMs, LangChain, & Pinecone

Pinecone via YouTube

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Overview

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This workshop introduces LLMs, LangChain, and Pinecone for building AI applications. It covers LangChain’s modular components, retrieval augmentation, indexing, vector databases, text splitting, embeddings, and training models on proprietary data.

Syllabus

Intro
Pinecone
History of NLP
Transformers
NLP
Screenshots
Problems with Large Language Models
Growth of Large Language Models
LangChain
LangChain Overview
Modular Components
Chains
Prompt Templates
Agents
Memory
Building with Language Models
Deep Dive
The Problem
Retrievable Augmentation
Indexing
Vector Database
LangChain Components
LangChain Variants
Process Overview
Training Models on Proprietary Data
Python Text Splitter
Embedding Tools

Taught by

Pinecone

Reviews

5.0 rating, based on 1 Class Central review

Start your review of Building the Future with LLMs, LangChain, & Pinecone

  • Profile image for Jayasree Varadarajan
    Jayasree Varadarajan
    This is really a useful course to know about LangChain, LLM and pinecone concepts. It will help the developer, how to implement the embeddings model and vector databases.
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