LangChain Unleashed: A Guide To Using Open Source LLM Models

Learn how to build LLM powered Applications using Langchain, Hugging Face Open Source Models

What you'll learn
Learn the basics of langchain
Use Langchain to build LLM powered Applications
Connect Langchain with Open Source LLM Models
Build A chatbot using Langchain
Requirements
Python Basics
Kaggle/Google Colab
Description
In this course I will teach you how to use langchain to build LLM powered Applications and I will be using Open source models from hugging face
What is LangChain?
LangChain serves as a framework aimed at streamlining the development of applications utilizing Large language models. Functioning as a language model integration framework, LangChain's applications align closely with those of language models, spanning document analysis, summarization, chatbots, and code analysis.
What is LCEL?
LangChain Expression Language (LCEL) emerges as a declarative method within the LangChain framework, enabling effortless composition of chains. From its inception, LCEL prioritizes seamless transition from prototypes to production, accommodating a spectrum of complexities, from straightforward "prompt + LLM" sequences to intricate chains comprising hundreds of steps. Noteworthy features encompass streaming support for optimal time-to-first-token, asynchronous capabilities for versatile API usage, and optimized parallel execution for reduced latency. LCEL further offers configurations for retries, fallbacks, and access to intermediate results, enhancing reliability and debugging. Its integration with Pydantic and JSONSchema schemas ensures structured validation through input and output schemas, a fundamental aspect of LangServe. With built-in LangSmith tracing, LCEL provides comprehensive step-by-step logging for heightened observability. Even without opting for LangServe deployment, LCEL empowers users to effortlessly deploy chains, making it a versatile tool for various applications.
In this course you learn
- Langchain Basics
- Langchain Expression Language
- Chains
- Memory
- Agents and Tools
- RAG etc
Disclaimer:
In this course I won't be using Open Ai API instead I would be using Open source models from hugging face and i will be using windows
Who this course is for:
Whoever that want to build applications powered by llms


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