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Hands-On Large Language Models
Recommended reading
Updated Sep 16, 2026
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Compared with 4 other Recommended reading agents Updated Sep 2026
Paid
Updated Sep 2026
Pricing
PaidPricing not publicly listed.
Use cases
Learning foundational concepts of large language models Implementing LLMs in practical projects Understanding fine-tuning and deployment of LLMs Exploring real-world applications of LLMs Enhancing AI and machine learning education
Pros & cons
Pros
- Clear, visual explanations make complex topics accessible
- Practical examples and hands-on walkthroughs
- Authored by recognized experts in AI education
Cons
- Requires basic familiarity with machine learning concepts
- May not cover the most cutting-edge advancements due to publishing timelines
- Limited to theoretical and practical guidance without direct tool integration
Overview
Hands-On Large Language Models is a practical guide offering visual walkthroughs and hands-on examples for understanding and working with large language models (LLMs). It covers foundational concepts, implementation techniques, and real-world applications of LLMs. The book is authored by Jay Alammar and Maarten Grootendorst, known for their expertise in AI and machine learning education.
Problem it solves
Provides accessible, practical guidance for individuals looking to learn and apply large language models without extensive prior expertise.
Target audience: Developers and teams working with recommended reading automation.
Inputs
- User configuration
- API credentials (if required)
- Task parameters
Outputs
- Automated task results
- Status reports
- Generated content or actions
Example workflow
- 1 User configures the agent with required parameters
- 2 Agent receives input data or trigger
- 3 Agent processes the request using its core logic
- 4 Agent interacts with external services if needed
- 5 Results are returned to the user
Sample system prompt
You are Hands-On Large Language Models, an AI assistant. Help the user accomplish their task efficiently.
Tools & technologies
Not publicly specified
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FAQs
- What is Hands-On Large Language Models?
- Hands-On Large Language Models is a practical guide offering visual walkthroughs and hands-on examples for understanding and working with large language models (LLMs). It covers foundational concepts, implementation techniques, and real-world applications of LLMs. The book is authored by Jay Alammar and Maarten Grootendorst, known for their expertise in AI and machine learning education.
- How much does Hands-On Large Language Models cost?
- Hands-On Large Language Models's pricing model is Paid. Pricing not publicly listed.
- What is Hands-On Large Language Models used for?
- Hands-On Large Language Models is used for: Learning foundational concepts of large language models; Implementing LLMs in practical projects; Understanding fine-tuning and deployment of LLMs; Exploring real-world applications of LLMs; Enhancing AI and machine learning education.
- What are the best alternatives to Hands-On Large Language Models?
- Hands-On Large Language Models is a Recommended reading AI agent. Compare it with the best alternatives — ranked by features, pricing, and use case — on our Hands-On Large Language Models alternatives page.
- Is Hands-On Large Language Models open source?
- No, Hands-On Large Language Models is not open source.
- Can Hands-On Large Language Models be self-hosted?
- No, Hands-On Large Language Models cannot be self-hosted.
- What skill level is required to use Hands-On Large Language Models?
- Hands-On Large Language Models is designed for intermediate users.
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Hands-On Large Language Models