Fine-Tuning LLMs Crash Course: An Advanced Practical Guide to Optimizing Large Language Models for Domain-Specific Intelligence, Task Alignment, and Scalable Deployment Across Real-World AI Systems - Softcover
Synopsis
This book will only be available for a short time. I just need 10 serious readers to grab it before I take it down to revise for private release. Be one of the few.
Fine-Tuning LLMs Crash Course is your advanced, practical guide to mastering the art and science of optimizing large language models (LLMs) for real-world performance. Whether you're a machine learning engineer, AI researcher, or developer exploring custom AI solutions, this crash course gives you everything you need to train, align, and deploy smarter, domain-specific models at scale.
What’s Inside:
- - Step-by-step workflows for fine-tuning models like GPT, LLaMA, and Falcon
- - Techniques for aligning models with specific tasks, tone, and business goals
- - Strategies for dataset preparation, prompt engineering, and hyperparameter tuning
- - Real-world examples from industries like finance, healthcare, customer service, and more
- - Deployment tips for scalable inference, safety, and monitoring in production environments
- - Covers both open-source and proprietary LLMs
- - Code examples using Hugging Face, OpenAI API, and custom training loops
- - Best practices for reducing hallucinations and improving model accuracy
- - Insights into evaluation, benchmarking, and responsible AI fine-tuning
- - AI engineers and data scientists ready to move beyond off-the-shelf models
- - Developers building intelligent apps, agents, or internal AI tools
- - Startups and enterprises looking to tailor LLMs to their domain
- - Anyone interested in deploying AI that actually fits their users and context
Generic AI is powerful but custom AI is unbeatable. This book shows you how to unlock the true potential of LLMs by fine-tuning them for your needs. If you want your AI to be smarter, faster, safer, and laser-focused on your use case, *Fine-Tuning LLMs Crash Course* is your blueprint.
"synopsis" may belong to another edition of this title.
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Fine-Tuning LLMs Crash Course (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. Paperback. This book will only be available for a short time. I just need 10 serious readers to grab it before I take it down to revise for private release. Be one of the few. Fine-Tuning LLMs Crash Course is your advanced, practical guide to mastering the art and science of optimizing large language models (LLMs) for real-world performance. Whether you're a machine learning engineer, AI researcher, or developer exploring custom AI solutions, this crash course gives you everything you need to train, align, and deploy smarter, domain-specific models at scale. What's Inside: - Step-by-step workflows for fine-tuning models like GPT, LLaMA, and Falcon - Techniques for aligning models with specific tasks, tone, and business goals - Strategies for dataset preparation, prompt engineering, and hyperparameter tuning - Real-world examples from industries like finance, healthcare, customer service, and more - Deployment tips for scalable inference, safety, and monitoring in production environments Key Features: - Covers both open-source and proprietary LLMs - Code examples using Hugging Face, OpenAI API, and custom training loops - Best practices for reducing hallucinations and improving model accuracy - Insights into evaluation, benchmarking, and responsible AI fine-tuning Who This Book Is For: - AI engineers and data scientists ready to move beyond off-the-shelf models- Developers building intelligent apps, agents, or internal AI tools - Startups and enterprises looking to tailor LLMs to their domain - Anyone interested in deploying AI that actually fits their users and context Why You Should Get This Book: Generic AI is powerful but custom AI is unbeatable. This book shows you how to unlock the true potential of LLMs by fine-tuning them for your needs. If you want your AI to be smarter, faster, safer, and laser-focused on your use case, *Fine-Tuning LLMs Crash Course* is your blueprint. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798279196029
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Fine-Tuning LLMs Crash Course: An Advanced Practical Guide to Optimizing Large Language Models for Domain-Specific Intelligence, Task Alignment, and Scalable Deployment Across Real-World AI Systems
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Fine-Tuning LLMs Crash Course (Paperback)
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Paperback. Condition: new. Paperback. This book will only be available for a short time. I just need 10 serious readers to grab it before I take it down to revise for private release. Be one of the few. Fine-Tuning LLMs Crash Course is your advanced, practical guide to mastering the art and science of optimizing large language models (LLMs) for real-world performance. Whether you're a machine learning engineer, AI researcher, or developer exploring custom AI solutions, this crash course gives you everything you need to train, align, and deploy smarter, domain-specific models at scale. What's Inside: - Step-by-step workflows for fine-tuning models like GPT, LLaMA, and Falcon - Techniques for aligning models with specific tasks, tone, and business goals - Strategies for dataset preparation, prompt engineering, and hyperparameter tuning - Real-world examples from industries like finance, healthcare, customer service, and more - Deployment tips for scalable inference, safety, and monitoring in production environments Key Features: - Covers both open-source and proprietary LLMs - Code examples using Hugging Face, OpenAI API, and custom training loops - Best practices for reducing hallucinations and improving model accuracy - Insights into evaluation, benchmarking, and responsible AI fine-tuning Who This Book Is For: - AI engineers and data scientists ready to move beyond off-the-shelf models- Developers building intelligent apps, agents, or internal AI tools - Startups and enterprises looking to tailor LLMs to their domain - Anyone interested in deploying AI that actually fits their users and context Why You Should Get This Book: Generic AI is powerful but custom AI is unbeatable. This book shows you how to unlock the true potential of LLMs by fine-tuning them for your needs. If you want your AI to be smarter, faster, safer, and laser-focused on your use case, *Fine-Tuning LLMs Crash Course* is your blueprint. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798279196029
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