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Overview
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This course explores the new age of AI and its biggest enabler — Large Language Models (LLMs), LangChain, and Pinecone. By the end of the course, learners will understand the tools behind this new wave of technology and how to use them to build innovative applications. The course covers topics such as the history of NLP, the growth of Large Language Models, LangChain overview, modular components, prompt templates, memory, retrievable augmentation, indexing, vector databases, and training models on proprietary data. The teaching method includes a combination of theoretical explanations, practical examples, and hands-on exercises. This course is designed for developers, engineers, and AI enthusiasts interested in leveraging LLMs, LangChain, and Pinecone to create AI-powered applications efficiently.
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
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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.