Claude
The Anatomy of an Agent Harness
A deep dive into what Anthropic, OpenAI, Perplexity and LangChain are actually building.
Archive
Latest
MLOps/LLMOps Course
MLOps and LLMOps: Case Studies
An exploration of real-world MLOps and LLMOps case studies, examining the importance of reliable ML and AI engineering and their significance for business outcomes.
Claude
Anatomy of the .claude/ Folder
A complete guide to CLAUDE.md, custom commands, skills, agents, and permissions, and how to set them up properly.
MLOps/LLMOps Course
Concepts of LLM Serving
LLMOps Part 14: An overview of the fundamentals of LLM serving, including API-based access, inference with vLLM, and practical decisions.
MLOps/LLMOps Course
LLM Inference and Optimization: Fundamentals, Bottlenecks, and Techniques
LLMOps Part 13: Exploring the mechanics of LLM inference, from prefill and decode phases to KV caching, batching, and optimization techniques that improve latency and throughput.
Claude
Claude Subagents vs. Agent Teams
...explained visually.
MLOps/LLMOps Course
LLM Fine-tuning: Techniques for Adapting Language Models
LLMOps Part 12: Understanding LLM fine-tuning, parameter-efficient methods like LoRA and QLoRA, and alignment techniques such as RLHF, DPO, and GRPO.
LLMs
Paged Attention in LLMs
...explained visually!
