Agents & AI engineering for advanced learners
329 resources · page 11 of 11
SHAP documentation
SHAP documentation: game-theoretic method and library for explaining ML model predictions.
Building production-ready agentic systems: Lessons from Shopify Sidekick
by Shopify
Shopify Engineering post on lessons from building the Sidekick agent: architecture, LLM judges calibrated to human labels and RL pitfalls.
Durable AI (Temporal Documentation)
Temporal documentation on durable execution for AI applications and agents that resume after crashes or timeouts.
Texterra
by Ivannikov Institute for System Programming (ISP RAS)
Texterra from ISP RAS: Russian text-analysis system for information extraction built on open structured knowledge.
Training language models to follow instructions with human feedback
by Long Ouyang et al. (OpenAI)
arXiv paper (2022) "Training language models to follow instructions with human feedback", describing InstructGPT and the RLHF post-training pipeline.
TRL documentation
by Hugging Face
Hugging Face TRL documentation: trainers for SFT, DPO, GRPO and other post-training methods.
Universal Commerce Protocol (UCP)
by Universal Commerce Protocol project
Universal Commerce Protocol site: open standard for agents and platforms covering catalogue, checkout and orders.
AI SDK docs: Loop control
by Vercel
Vercel AI SDK documentation on loop control: stop conditions and step control for agent loops.
How we made v0 an effective coding agent (Vercel)
by Vercel
Vercel engineering post on v0's coding-agent pipeline: dynamic system prompts, streaming fixes and autofixers.