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home > Ozdemir Sinan - Quick Start Guide To Large Language Models Strategies And Best Practices For Using Chatgpt And Other Llms - Paperback > Ozdemir Sinan - Quick Start Guide To Large Language Models Strategies And Best Practices For Using Chatgpt And Other Llms - Paperback
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Ozdemir Sinan - Quick Start Guide To Large Language Models Strategies And Best Practices For Using Chatgpt And Other Llms - PaperbackBinding: Paperback Description: The Practical Step by Step Guide to Using LL Ms at Scale in Projects and Products Large Language Models (LL Ms) like Chat GPT are demonstrating breathtaking capabilities but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with
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Binding: Paperback
Description: The Practical Step - by - Step Guide to Using LL Ms at Scale in Projects and Products Large Language Models (LL Ms) like Chat GPT are demonstrating breathtaking capabilities but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with integrating and deploying LL Ms to solve practical problems. Ozdemir brings together all you need to get started even if you have no direct experience with LL Ms: step - by - step instructions best practices real - world case studies hands - on exercises and more. Along the way he shares insights into LL Ms inner workings to help you optimize model choice data formats parameters and performance. You'll find even more resources on the companion website including sample datasets and code for working with open - and closed - source LL Ms such as those from Open AI (GPT - 4 and Chat GPT) Google (BERT T 5, and Bard) Eleuther AI (GPT - J and GPT - Neo) Cohere (the Command family) and Meta (BART and the L La M a family). Learn key concepts: pre - training transfer learning fine - tuning attention embeddings tokenization and more Use AP Is and Python to fine - tune and customize LL Ms for your requirements Build a complete neural/semantic information retrieval system and attach to conversational LL Ms for retrieval - augmented generation Master advanced prompt engineering techniques like output structuring chain - ofthought and semantic few - shot prompting Customize LLM embeddings to build a complete recommendation engine from scratch with user data Construct and fine - tune multimodal Transformer architectures using opensource LL Ms Align LL Ms using Reinforcement Learning from Human and AI Feedback (RLHF/ Rlaif) Deploy prompts and custom fine - tuned LL Ms to the cloud with scalability and evaluation pipelines in mind " By balancing the potential of both open - and closed - source models Quick Start Guide to Large Language Models stands as a comprehensive guide to understanding and using LL Ms bridging the gap between theoretical concepts and practical application." - - Giada Pistilli Principal Ethicist at Hugging Face " A refreshing and inspiring resource. Jam - packed with practical guidance and clear explanations that leave you smarter about this incredible new field." - - Pete Huang author of The Neuron Register your book for convenient access to downloads updates and/or corrections as they become available. See inside book for details.
Title: Quick Start Guide To Large Language Models Strategies And Best Practices For Using Chatgpt And Other Llms
Author(s): Ozdemir Sinan
Publisher: Pearson Education (Us)
Barcode: 9780138199197
Pages: 288 Pages
Publication Date: 9/21/2023
Series: Addison-Wesley Data & Analytics Series
Category: Pattern Recognition

Ozdemir Sinan - Quick Start Guide To Large Language Models Strategies And Best Practices For Using Chatgpt And Other Llms - Paperback

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