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Hugging Face Released A Free Course On Agents Localllama

Leo Migdal
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hugging face released a free course on agents localllama

View how beam search decoding works, in detail! View how beam search decoding works, in detail! Answer questions using web search, weather, and guest info Test your knowledge of the Agent fundamentals. Generate Certificate of Excellence from Agents Course If you like the course, don't hesitate to ⭐ star this repository.

This helps us to make the course more visible 🤗. The course is divided into 4 units. These will take you from the basics of agents to a final assignment with a benchmark. Sign up here (it's free) 👉 https://bit.ly/hf-learn-agents You can access the course here 👉 https://hf.co/learn/agents-course If you want to contribute to this course, you're welcome to do so.

Feel free to open an issue or join the discussion in the Discord. For specific contributions, here are some guidelines: Huggingface have released a course on Agents, it’s available here. I’ve been working on agents for a task at work and I evaluated smolagents shortly after it was released. Since this course directly uses it in the first section I thought it would be fun to follow along the tutorial and recreate it locally. I’m not going to go over the structure of agents or how they work directly.

Instead this will focus on the tool definitions and the creation and use of an agent. The first thing they start with is the format for the tools. Tools are invocable python functions, and they are presented to the agent by using meta programming to extract the name, arguments, return type and description of the tool. These function details are then composed into a description of the tool. When the agent wants to use the tool it responds with a specially formatted message which will invoke the tool. Once the tool has been invoked the return value is presented to the agent and it can then proceed.

The following code defines a dummy tool and a timezone conversion tool: We can define our own tools easily enough. Since there is a timezone tool it would be nice if the agent could create a picture of a location that has the correct weather and time of day. This would then involve three tools: Hugging Face has introduced a free AI Agents course, complete with a certification to help you validate your skills. Whether you're just starting or looking to advance your expertise, this course covers everything you need to build AI-powered agents.

What’s Inside the Course? The course is structured into five comprehensive chapters, guiding learners from setup to building and benchmarking AI agents. Here's a breakdown: 🔹 Onboarding (Chapter 0) – Get set up with the necessary tools and platforms. 🔹 Agent Fundamentals (Chapter 1) – Learn core concepts like tools, thoughts, actions, observations, LLMs, special tokens, and chat templates. Includes a hands-on Python use case.

🔹 Frameworks (Chapter 2) – Explore popular AI agent frameworks, including SmolAgents, LangGraph, and LlamaIndex. 🔹 Use Cases (Chapter 3) – Build real-world AI applications and contribute to the community. 🔹 Final Assignment (Chapter 4) – Develop an AI agent, benchmark it, and compete on a leaderboard! Who Can Take This Course? This course is open to anyone with: ✔️ Basic Python knowledge ✔️ A fundamental understanding of LLMs (Unit 1 includes a refresher) ✔️ A free Hugging Face account 🏅 Get Certified!

Hugging Face offers two certification levels: 🏆 Fundamentals Certificate – Complete Unit 1 to demonstrate a solid grasp of AI agent basics. 🏆 Full Certificate of Completion – Finish Unit 1, complete a use-case assignment, and pass the final challenge to earn this advanced certification. Thank you for being part of our community of AI engineers. This edition: Master AI agent development with Hugging Face’s free certification, compare fine-tuning versus prompt engineering strategies, and explore cutting-edge tools like Zed’s open-source edit prediction model and GitHub Copilot’s latest vision features. Dive into research-backed trends from Anthropic and Bret Taylor’s take on evolving technical leadership in the AI era. Whether you’re refining workflows or architecting intelligent systems, we’ve curated practical guidance to keep you ahead.

Your dedication to learning inspires us to deliver value—let’s keep building smarter, together. Estimated time: This is a multi-unit, multi-hour set of courses Hugging Face's new AI Agents course offers developers a comprehensive path to master agent development using popular frameworks like LangChain and LlamaIndex. The free certification program covers theory, hands-on practice, and real-world applications, with a completion deadline of May 2025. If you’re serious about building AI agents, LLM apps, or generative tools. HuggingFace has free courses that do more than just teach — they give you real, working code.

These 9 courses cover everything from LLMs and LangChain to diffusion models, vision, and audio. This guide breaks them down one by one so you know what to expect, what tools you’ll use, and which one to start with. ALSO READ: How To Create PDF With Grok AI and get access to the augmented documentation experience Welcome to the most exciting topic in AI today: Agents! This free course will take you on a journey, from beginner to expert, in understanding, using and building AI agents.

At the end of this course, you’ll understand how Agents work and how to build your own Agents using the latest libraries and tools. (We are respectful of your privacy. We collect your email address to be able to send you the links when each Unit is published and give you information about the challenges and updates). 🚀 Hugging Face is offering a FREE and CERTIFIED course on LLM Agents! The Hugging Face Agents course on Learn is now available! 🌟 📚 What you’ll learn: 🔹 The fundamentals of AI agents: How they observe, reason, and act using LLMs.

🔹 How to build with frameworks like LangChain, LlamaIndex, and smolagents. 🔹 Real-world applications: Automate SQL, generate code, summarize documents, and more. 🔹 Earn certification to demonstrate your skills in deploying AI agents. 👩💻 Ideal for developers, data scientists, and anyone interested in the future of AI. 👉 Enroll now: https://lnkd.in/gSRDNtSm Co-Founder of Altrosyn and Director at CDTECH | Inventor | Manufacturer

It's exciting to see Hugging Face offering a certified course on LLM Agents, bridging the gap between theoretical understanding and practical application. The inclusion of frameworks like LangChain and LlamaIndex is crucial for developers looking to build robust agent architectures. Given the emphasis on real-world applications, I wonder how the course will address the ethical considerations surrounding autonomous agents, particularly in scenarios involving decision-making with potential societal impact? How might we ensure these agents adhere to principles of fairness, transparency, and accountability within complex, dynamic environments?

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View How Beam Search Decoding Works, In Detail! View How

View how beam search decoding works, in detail! View how beam search decoding works, in detail! Answer questions using web search, weather, and guest info Test your knowledge of the Agent fundamentals. Generate Certificate of Excellence from Agents Course If you like the course, don't hesitate to ⭐ star this repository.

This Helps Us To Make The Course More Visible 🤗.

This helps us to make the course more visible 🤗. The course is divided into 4 units. These will take you from the basics of agents to a final assignment with a benchmark. Sign up here (it's free) 👉 https://bit.ly/hf-learn-agents You can access the course here 👉 https://hf.co/learn/agents-course If you want to contribute to this course, you're welcome to do so.

Feel Free To Open An Issue Or Join The Discussion

Feel free to open an issue or join the discussion in the Discord. For specific contributions, here are some guidelines: Huggingface have released a course on Agents, it’s available here. I’ve been working on agents for a task at work and I evaluated smolagents shortly after it was released. Since this course directly uses it in the first section I thought it would be fun to follow along the tutori...

Instead This Will Focus On The Tool Definitions And The

Instead this will focus on the tool definitions and the creation and use of an agent. The first thing they start with is the format for the tools. Tools are invocable python functions, and they are presented to the agent by using meta programming to extract the name, arguments, return type and description of the tool. These function details are then composed into a description of the tool. When th...

The Following Code Defines A Dummy Tool And A Timezone

The following code defines a dummy tool and a timezone conversion tool: We can define our own tools easily enough. Since there is a timezone tool it would be nice if the agent could create a picture of a location that has the correct weather and time of day. This would then involve three tools: Hugging Face has introduced a free AI Agents course, complete with a certification to help you validate ...