Building LLM Apps: Create Intelligent Apps and Agents with Large Language Models

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Description of Building LLM Apps: Create Intelligent Apps and Agents with Large Language Models

Key Features
Embed LLMs into real-world applicationsUse LangChain to orchestrate LLMs and their components within applicationsGrasp basic and advanced techniques of prompt engineering
Book Description
Building LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer. Ultimately paving the way for the emergence of Large Foundation Models (LFMs) that extend the boundaries of AI capabilities.

Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.
What you will learn
Core components of LLMs' architecture, including encoder-decoders blocks, embedding and so onGet well-versed with unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLMUse AI orchestrators like LangChain, and Streamlit as frontendGet familiar with LLMs components such as memory, prompts and toolsLearn non-parametric knowledge, embeddings and vector databasesUnderstand the implications of LFMs for AI research, and industry applicationsCustomize your LLMs with fine tuningLearn the ethical implications of LLM-powered applications
Who this book is for

We don't assume previous experience with LLM specifically. But readers should have core ML/software engineering fundamentals to understand and apply the content.