Shows practical workflow for developers creating specialized models via AI-assisted training pipelines.
A developer shares their process for creating custom language models using HuggingChat's ML-interm feature, a Qwen-based rewriter from 9B to 0.8B for $16, with detailed prompting strategies.
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.
A tutorial on building world models in PyTorch to reduce drone/robot data transmission by 94% using predictive modeling instead of constant sensor updates.
Simon Willison shares how to use Parseable observability tool with Datasette for OpenTelemetry traces, including setup patterns and integration examples.
Boris Cherny advocates for natural conversation with Claude rather than complex prompting techniques, suggesting users treat it like a coworker.
Compares AI policy courses from BlueDot Impact, Lens Academy, Vista Institute, and Center for AI and Digital Policy for career upskilling.
