SKU/Artículo: AMZ-B0DYP56YTX

LLM - DEEP DIVE

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Fuera de stock

Peso con empaque:
0.36 kg

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No

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Nuevo

Producto de:
Amazon

Sobre este producto

Understanding the Fundamentals: Learn what LLMs are, how they work, and their potential to transform industries.
Setting Up Your Environment: Discover the hardware and software you need to train LLMs, from GPUs and TPUs to PyTorch, TensorFlow, and more. You will get an explanation for how to utilize all of these components for success!
Data Acquisition & Management: Learn effective techniques for finding, cleaning, and preparing data to fuel your LLM. Avoid bias and ensure optimal performance while understanding the best tips.
Effective Training Techniques: Discover helpful strategies for building, optimizing, and scaling your LLM, even with limited resources. Understand that this takes time, experimentation, and constant work, and is not simple or 'one size fits all'!
Project Management Best Practices: Discover how to organize your project, collaborate with others, and avoid common pitfalls by implementing methods of best practices.
Optimization Tricks: Learn steps to take to increase the performance of your LLM. Know where to look, and how to test what actually works.
AI enthusiasts who want to build their own LLMs
Data scientists looking to expand their skill set
Developers interested in integrating LLMs into their applications
Anyone curious about the future of AI and natural language processing

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LLM - DEEP DIVE

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LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

The LLM Bible: The Complete and Up-to-Date Guide to Design, Train, and Scale Next-Generation Large Language Models that Converse, Reason, and Adapt

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG

The Practical LLM Builder Handbook: How to Build, Train, and Deploy Your Own Large Language Models — A Step-by-Step Guide from Zero to Production

The AI, Generative AI, LLM & ChatGPT Bible: Everything You Need to Make Money with AI, Maximize Productivity & Master Prompt Engineering/Even Without Any Tech Skills

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

Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems

LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems

Build a Large Language Model (From Scratch)

AI Engineering: Building Applications with Foundation Models

Hands-On Large Language Models: Language Understanding and Generation

BUILDING AI APPLICATIONS WITH SEMANTIC KERNEL: LLM INTEGRATION FOR .NET DEVELOPERS: Create intelligent agents, chatbots, and AI workflows with Microsoft’s orchestration framework

AI-Native LLM Security: Threats, defenses, and best practices for building safe and trustworthy AI

AI Prompt Engineering: Foundations of Communication with LLMs – Building Generative AI and Agentic AI Prompt Systems Across Development, Testing, and Deployment

LLMs and Generative AI for Healthcare: The Next Frontier

Agentic AI Security: Designing and Protecting Autonomous LLM Agents with Advanced Threat Models, Prompt Engineering, and Memory Safeguards

The AI, Generative AI, LLM & ChatGPT Bible: Everything You Need to Make Money with AI, Maximize Productivity & Master Prompt Engineering/Even Without Any Tech Skills

Generative AI for Software Architects: How to Use LLMs to boost your productivity

KNOWLEDGE GRAPH ARCHITECTURES: DESIGNING REAL-WORLD AI SYSTEMS WITH NEO4J, LLMS, AND RAG FOR SEMANTIC SEARCH AND RECOMMENDATION (Agentic AI & Retrieval Systems Series)

THE AI AGENT HANDBOOK: Building Autonomous Systems with Python, LLMs, and Modern Frameworks

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LLM - DEEP DIVE

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Otros Productos

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

The LLM Bible: The Complete and Up-to-Date Guide to Design, Train, and Scale Next-Generation Large Language Models that Converse, Reason, and Adapt

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG

The Practical LLM Builder Handbook: How to Build, Train, and Deploy Your Own Large Language Models — A Step-by-Step Guide from Zero to Production

The AI, Generative AI, LLM & ChatGPT Bible: Everything You Need to Make Money with AI, Maximize Productivity & Master Prompt Engineering/Even Without Any Tech Skills

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

Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems

LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems

Build a Large Language Model (From Scratch)

AI Engineering: Building Applications with Foundation Models

Hands-On Large Language Models: Language Understanding and Generation

Productos Relacionados

BUILDING AI APPLICATIONS WITH SEMANTIC KERNEL: LLM INTEGRATION FOR .NET DEVELOPERS: Create intelligent agents, chatbots, and AI workflows with Microsoft’s orchestration framework

AI-Native LLM Security: Threats, defenses, and best practices for building safe and trustworthy AI

AI Prompt Engineering: Foundations of Communication with LLMs – Building Generative AI and Agentic AI Prompt Systems Across Development, Testing, and Deployment

LLMs and Generative AI for Healthcare: The Next Frontier

Agentic AI Security: Designing and Protecting Autonomous LLM Agents with Advanced Threat Models, Prompt Engineering, and Memory Safeguards

The AI, Generative AI, LLM & ChatGPT Bible: Everything You Need to Make Money with AI, Maximize Productivity & Master Prompt Engineering/Even Without Any Tech Skills

Generative AI for Software Architects: How to Use LLMs to boost your productivity

KNOWLEDGE GRAPH ARCHITECTURES: DESIGNING REAL-WORLD AI SYSTEMS WITH NEO4J, LLMS, AND RAG FOR SEMANTIC SEARCH AND RECOMMENDATION (Agentic AI & Retrieval Systems Series)

THE AI AGENT HANDBOOK: Building Autonomous Systems with Python, LLMs, and Modern Frameworks

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