Building LLM Powered Applications: Create intelligent apps and agents with large language models

Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applicationsKey Features:- Embed LLMs into real-world applications- Use LangChain to orchestrate LLMs and their components within applications- Grasp basic and advanced techniques of prompt engineeringBook 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.The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio.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:- Explore the core components of LLM architecture, including encoder-decoder blocks and embeddings- Understand the unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLM- Use AI orchestrators like LangChain, with Streamlit for the frontend- Get familiar with LLM components such as memory, prompts, and tools-…