Practical guide for builders creating custom AI agents with tool-calling capabilities
Step-by-step tutorial shows how to build a simple that uses an LLM to call Python functions for database queries.
AI Agents for Beginners, Part 1 The post Build Your First AI Agent with One Tool Call appeared first on Towards Data Science.
A developer shares their process for creating custom language models using HuggingChat's ML-interm feature, training a Qwen-based prompt rewriter from 9B to 0.8B for $16, with detailed prompting strategies.
A guide for starting rationality reading groups at universities as a low-cost way to build AI safety communities and meet like-minded individuals.
A tutorial on building world models in PyTorch to reduce drone/robot data transmission by 94% using predictive modeling instead of constant sensor updates.
This tutorial teaches reinforcement learning fundamentals through building a multi-armed bandit simulation in Python, using a classic RL problem to demonstrate trial-and-error learning.
Simon Willison shares how to use Parseable observability tool with Datasette for OpenTelemetry traces, including setup patterns and integration examples.
