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Matthew S Blog New Huggingface Agents Course

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matthew s blog new huggingface agents course

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: 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: 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). and get access to the augmented documentation experience Welcome to this first unit, where you’ll build a solid foundation in the fundamentals of AI Agents including:

The Role of LLMs (Large Language Models) in Agents After exploring these topics, you’ll build your first Agent using smolagents! Your Agent, named Alfred, will handle a simple task and demonstrate how to apply these concepts in practice. There was an error while loading. Please reload this page. and get access to the augmented documentation experience

Welcome to the final unit of the course! 🎉 So far, you’ve built a strong foundation in AI Agents, from understanding their components to creating your own. With this knowledge, you’re now ready to build powerful agents and stay up-to-date with the latest advancements in this fast-evolving field. This unit is all about applying what you’ve learned. It’s your final hands-on project, and completing it is your ticket to earning the course certificate.

You’ll create your own agent and evaluate its performance using a subset of the GAIA benchmark. Welcome to my personal repository for the Hugging Face AI Agents Course! This repo contains my notes, code, solutions, experiments, and additional resources as I work through the course — from fundamentals to advanced agent building. The Hugging Face AI Agents Course covers: You can find the official course here: 👉 Hugging Face AI Agents Course

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Huggingface Have Released A Course On Agents, It’s Available Here.

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 wil...

Tools Are Invocable Python Functions, And They Are Presented To

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 ...

Since There Is A Timezone Tool It Would Be Nice

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: 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

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

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: and get access to the augmented documentation experience Welcome to the most exciting topic in AI today: Agents!