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

Descriere YEO:

Building LLM Powered Applications: Create - Disponibil la libris.ro

Pe YEO găsești Building LLM Powered Applications: Create de la Valentina Alto, în categoria Computers.

Indiferent de nevoile tale, Building LLM Powered Applications: Create intelligent apps and agents with large language models - Valentina Alto din categoria Computers îți poate aduce un echilibru perfect între calitate și preț, cu avantaje practice și moderne.

Preț: 371.93 Lei

Caracteristicile produsului Building LLM Powered Applications: Create

• Brand: Valentina Alto
• Categoria: Computers
• Magazin: libris.ro
• Ultima actualizare: 13-11-2024 01:34:21

Comandă Building LLM Powered Applications: Create Online, Simplu și Rapid

Prin intermediul platformei YEO, poți comanda Building LLM Powered Applications: Create de la libris.ro rapid și în siguranță. Bucură-te de o experiență de cumpărături online optimizată și descoperă cele mai bune oferte actualizate constant.

Descriere magazin:
Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applications Key Features Embed LLMs into real-world applications Use LangChain to orchestrate LLMs and their components within applications Grasp basic and advanced techniques of prompt engineering Book Description Building LLM Apps 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 readers 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 Core components of LLMs\' architecture, including encoder-decoders blocks, embedding and so on Get well-versed with unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLM Use AI orchestrators like LangChain, and Streamlit as frontend Get familiar with LLMs components such as memory, prompts and tools Learn non-parametric knowledge, embeddings and vector databases Understand the implications of LFMs for AI research, and industry applications Customize your LLMs with fine tuning Learn the ethical implications of LLM-powered applications Who this book is for Software engineers and data scientists who want hands-on guidance for applying LLMs to build applications. The book will also appeal to technical leaders, students, and researchers interested in applied LLM topics. We don\'t assume previous experience with LLM specifically. But readers should have core ML/software engineering fundamentals to understand and apply the content.