LangChain is an open-source framework for developers to easily implement Large Language Models (LLMs) in applications. The increased connectivity with external sources enhances the capabilities of these models, leading to better results. Its popular use includes in creating chatbots, retrieval-augmented generation, and document summary apps. In light of its growing importance, here are some must-read LangChain books in 2024.
“Quick Start Guide to Large Language Models” serves as an introduction on how to deploy and integrate LLMs to solve real-world issues. It explores the intricacies of LLMs and provides sample codes for models such as GPT-4, BERT, T5, and LLaMA.
“Introduction to Generative AI” takes the readers through the basics of generative AI in a safe and efficient way through personal and professional workflows. “Generative AI with LangChain” is a manual on utilizing the LangChain framework to launch production-ready LLM applications. It illuminates on the elementary level of LLMs and generative AI and discusses full-engineering to boost performance.
“LangChain Crash Course” is a concise book that deals with the foundations of LangChain and instructs on how to build LLM-backed applications. The book facilitates learning through practical exercises.
On the other hand, “LangChain in your Pocket” assists in creating robust applications using LLMs, encompassing subjects like Auto-SQL, NER, RAG, Autonomous AI agents, and more.
The “Generative AI on AWS” book elucidates the entire generative AI project lifecycle on Amazon Bedrock, inclusive of models such as Stable Diffusion, Flamingo, and IDEFICS and how to use frameworks like LangChain to develop agents and actions.
“Machine Learning Engineering with Python” is a complete guide to constructing and scaling machine-learning projects that resolve real-world predicaments. It includes MLOps principles, CI/CD pipelines, system design, and various cloud platforms, along with a section on generative AI and building LLM-powered pipelines using LangChain.
“Developing Apps With GPT-4 and ChatGPT” instructs on creating applications with large language models like text generation, Q&A, and content summarization tools. The book also explains model fine-tuning and frameworks like LangChain.
The “LangChain Handbook” is an all-inclusive guide to integrating and using LLMs via the LangChain framework, explaining the creation of applications like chatbots, document analysis, and code analysis.
Lastly, “LangChain for Everyone” discusses the basics of LangChain and its applications in various fields like travel, education, and communication. It helps the readers prepare for a future dominated by AI.
Each book mentioned has referral/affiliate links attached, which yield a small profit for purchases made. Suggestions regarding any missed books can be emailed to asif@marktechpost.com.
