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Building Large Language Model Applications, Published by Packt
| Date | Stars |
|---|---|
| 2026-07-31 | 414 |
| 2026-08-03 | 415 |
| 2026-08-06 | 415 |
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<p align='center'><a href='https://www.packtpub.com/en-us/unlock?step=1'><img src='https://static.packt-cdn.com/assets/images/packt+events/finalGH_design_redeem.png'/></a></p> <h1 align="center"> Building LLM Powered Applications, First Edition</h1> <p align="center">This is the code repository for <a href ="https://www.packtpub.com/en-us/product/building-llm-powered--applications-first-edition/9781835462317"> Building LLM Powered Applications, First Edition</a>, published by Packt. </p> <h2 align="center"> Create intelligent apps and agents with large language models </h2> <p align="center"> Valentina Alto</p> <p align="center"> <a href="https://packt.link/llm" alt="Discord" title="Learn more on the Discord server"><img width="32px" src="https://cliply.co/wp-content/uploads/2021/08/372108630_DISCORD_LOGO_400.gif"/></a>       <a href="https://packt.link/free-ebook/9781835462317"><img width="32px" alt="Free PDF" title="Free PDF" src="https://cdn-icons-png.flaticon.com/512/4726/4726010.png"/></a>       <a href="https://packt.link/gbp/9781835462317"><img width="32px" alt="Graphic Bundle" title="Graphic Bundle" src="https://cdn-icons-png.flaticon.com/512/2659/2659360.png"/></a>       <a href="https://www.amazon.in/Building-LLM-Apps-Intelligent-Language-ebook/dp/B0CMD2W6Q5/"><img width="32px" alt="Amazon" title="Get your copy" src="https://cdn-icons-png.flaticon.com/512/15466/15466027.png"/></a>       </p> <details open> <summary><h2>About the book</summary> <a href="https://www.packtpub.com/product/unity-cookbook-fifth-edition/9781805123026"> <img src="https://content.packt.com/B21714/cover_image_small.jpg" alt="Unity Cookbook, Fifth Edition" height="256px" align="right"> </a> 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. </details> <details open> <summary><h2>Key Learnings</summary> <ul> <li>Explore the core components of LLM architecture, including encoder-decoder blocks and embeddings</li> <li>Understand the unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLM</li> <li>Use AI orchestrators like LangChain, with Streamlit for the frontend</li> <li>Get familiar with LLM components such as memory, prompts, and tools</li> <li>Learn how to use non-parametric knowledge and vector databases</li> <li>Understand the implications of LFMs for AI research and industry applications</li> <li>Customize your LLMs with fine tuning</li> <li>Learn about the ethical implications of LLM-powered applications</li> </ul> </details> <details open> <summary><h2>Chapters</summary> | Chapters | Colab | Kaggle | Gradient | Studio Lab | | :-------- | :-------- | :------- | :-------- | :-------- | | **Chapter 1: Introduction to Large Language Models** | | | | | | **Chapter 2: LLMs for AI-Powered Applications** | | | | |
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matched fp:769168c38ff28865, llm:Repository contains Jupyter notebooks for the Packt book 'Building Large Language Model Applications' (educational material about building LLM-powered apps).
matched fp:769168c38ff28865, llm:Repository contains Jupyter notebooks for the Packt book 'Building Large Language Model Applications' (educational material about building LLM-powered apps).
matched fp:769168c38ff28865, llm:Repository contains Jupyter notebooks for the Packt book 'Building Large Language Model Applications' (educational material about building LLM-powered apps).
matched fp:769168c38ff28865, llm:Repository contains Jupyter notebooks for the Packt book 'Building Large Language Model Applications' (educational material about building LLM-powered apps).