📝 Blog Articles

DeepResearch Part 1: Building an arXiv Search Tool with SmolAgents

Summary

This post kicks off a series of three where we’ll build, extend, and use the open-source DeepResearch application inspired by the Hugging Face blog post. In this first part, we’ll focus on creating an arXiv search tool that can be used with SmolAgents.

DeepResearch aims to empower research by providing tools that automate and streamline the process of discovering and managing academic papers. This series will demonstrate how to build such tools, starting with a powerful arXiv search tool.

Agents: A tutorial on building agents in python

LLM Agents

Agents are used enhance and extend the functionality of LLM’s.

In this tutorial, we’ll explore what LLM agents are, how they work, and how to implement them in Python.

What Are LLM Agents?

An agent is an autonomous process that may use the LLM and other tools multiple times to achieve a goal. The LLM output often controls the workflow of the agent(s).

What is the difference between Agents and LLMs or AI?

Agents are processes that may use LLM’s and other agents to achieve a task. Agents act as orchestrators or facilitators, combining various tools and logic, whereas LLMs are the underlying generative engines.