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9780135346563 - Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI di Ozdemir, Sinan (34 risultati)
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Quick Start Guide to Large Language Models: Strategies and Best Practices for Chatgpt, Embeddings, Fine-Tuning, and Multimodal AI
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
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Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Quick Start Guide to Large Lan
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Quick Start Guide to Large Language Models : Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI
Lingua: Inglese
Editore: Addison Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
Da: Better World Books, Mishawaka, IN, U.S.A.
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Condizione: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Quick Start Guide to Large Language Models : Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI
Lingua: Inglese
Editore: Addison Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
Da: Better World Books, Mishawaka, IN, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Quick Start Guide to Large Language Models
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Quick Start Guide to Large Language Models
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Quick Start Guide to Large Language Models
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Quick Start Guide to Large Language Models
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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EUR 41,45
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Quick Start Guide to Large Language Models
Lingua: Inglese
Editore: Pearson Education (US), US, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New. The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, Second Edition, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, and hands-on exercises. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, prompting, fine-tuning, performance, and much more. The resources on the companion website include sample datasets and up-to-date code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and GPT-3.5), Google (BERT, T5, and Gemini), X (Grok), Anthropic (the Claude family), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and moreUse APIs and Python to fine-tune and customize LLMs for your requirementsBuild a complete neural/semantic information retrieval system and attach to conversational LLMs for building retrieval-augmented generation (RAG) chatbots and AI AgentsMaster advanced prompt engineering techniques like output structuring, chain-of-thought prompting, and semantic few-shot promptingCustomize LLM embeddings to build a complete recommendation engine from scratch with user data that outperforms out-of-the-box embeddings from OpenAIConstruct and fine-tune multimodal Transformer architectures from scratch using open-source LLMs and large visual datasetsAlign LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF) to build conversational agents from open models like Llama 3 and FLAN-T5Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mindDiagnose and optimize LLMs for speed, memory, and performance with quantization, probing, benchmarking, and evaluation frameworks "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.
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Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI (Addison-Wesley Data & Analytics Series)
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Quick Start Guide to Large Language Models (Paperback)
Lingua: Inglese
Editore: Pearson Education (US), Boston, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, Second Edition, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, and hands-on exercises. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, prompting, fine-tuning, performance, and much more. The resources on the companion website include sample datasets and up-to-date code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and GPT-3.5), Google (BERT, T5, and Gemini), X (Grok), Anthropic (the Claude family), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and moreUse APIs and Python to fine-tune and customize LLMs for your requirementsBuild a complete neural/semantic information retrieval system and attach to conversational LLMs for building retrieval-augmented generation (RAG) chatbots and AI AgentsMaster advanced prompt engineering techniques like output structuring, chain-of-thought prompting, and semantic few-shot promptingCustomize LLM embeddings to build a complete recommendation engine from scratch with user data that outperforms out-of-the-box embeddings from OpenAIConstruct and fine-tune multimodal Transformer architectures from scratch using open-source LLMs and large visual datasetsAlign LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF) to build conversational agents from open models like Llama 3 and FLAN-T5Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mindDiagnose and optimize LLMs for speed, memory, and performance with quantization, probing, benchmarking, and evaluation frameworks "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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI (Addison-Wesley Data & Analytics Series)
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
Da: Chiron Media, Wallingford, Regno Unito
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QUICK START GUIDE TO LARGE LANGUAGE MOD
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models
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Quick Start Guide to Large Language Models
Lingua: Inglese
Editore: Pearson Education (US), US, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
Paperback. Condizione: New. The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, Second Edition, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, and hands-on exercises. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, prompting, fine-tuning, performance, and much more. The resources on the companion website include sample datasets and up-to-date code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and GPT-3.5), Google (BERT, T5, and Gemini), X (Grok), Anthropic (the Claude family), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and moreUse APIs and Python to fine-tune and customize LLMs for your requirementsBuild a complete neural/semantic information retrieval system and attach to conversational LLMs for building retrieval-augmented generation (RAG) chatbots and AI AgentsMaster advanced prompt engineering techniques like output structuring, chain-of-thought prompting, and semantic few-shot promptingCustomize LLM embeddings to build a complete recommendation engine from scratch with user data that outperforms out-of-the-box embeddings from OpenAIConstruct and fine-tune multimodal Transformer architectures from scratch using open-source LLMs and large visual datasetsAlign LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF) to build conversational agents from open models like Llama 3 and FLAN-T5Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mindDiagnose and optimize LLMs for speed, memory, and performance with quantization, probing, benchmarking, and evaluation frameworks "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.
-
Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI
Lingua: Inglese
Editore: ADDISON WESLEY PROFESSIONAL, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI (Addison-Wesley Data & Analytics Series)
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models (Addison-Wesley Data & Analytics Series)
Lingua: Inglese
Editore: Addison-Wesley Professional -, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models
Lingua: Inglese
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ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI (Addison-Wesley Data & Analytics Series)
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models
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Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI (Addison-Wesley Data & Analytics Series)
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI (Addison-Wesley Data & Analytics Series)
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models: Strategies and Best Practices for Chatgpt, Embeddings, Fine-tuning, and Multimodal Ai
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI (Addison-Wesley Data & Analytics Series)
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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Quick Start Guide to Large Language Models: Strategies and Best Practices for Chatgpt, Embeddings, Fine-tuning, and Multimodal Ai
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
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QUICK START GUIDE TO LARGE LANGUAGE MOD
Lingua: Inglese
Editore: Addison-Wesley Professional, 2024
ISBN 10: 0135346568 ISBN 13: 9780135346563
Da: Speedyhen, Hertfordshire, Regno Unito
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