(view in browser) Aug 19th Next webinar:Sept 12, 2026 - Live LLM Engineering Masterclass: Production Evals, RAG, Agents & LLMOps [Register] Dear Reader, Welcome to the Aug 19th edition of the Data Science Briefing. Announcements Today we're proud to announce not 1, not 2, but 4 new events coming up in September and October: Sep 9, 2026 - Prove Your Prompt Change Actually Helped Sep 23, 2026 - Put Error Bars on Your LLM Metrics Oct 7, 2026 - Stop Bad Merges with an LLM Eval Gate Oct 16, 2026 -...
8 days ago • 7 min read
(view in browser) Aug 12 Next webinar:Sept 12, 2026 - Live LLM Engineering Masterclass: Production Evals, RAG, Agents & LLMOps [Register] Dear Reader, Welcome to the Aug 12th edition of the Data Science Briefing. Announcements One good demo is a test flight. An eval suite is the flight-test campaign. A flashy demo only proves your AI agent can work once. To deploy with confidence, you need an operational evaluation framework that measures performance, budgets, latency, and edge-case failures....
15 days ago • 8 min read
(view in browser) Aug 5 Next webinar:Sept 12, 2026 - Live LLM Engineering Masterclass: Production Evals, RAG, Agents & LLMOps [Register] Dear Reader, Welcome to the 330th edition of the Data Science Briefing. Announcements Put your old Mac to work serving a local LLM. Running a language model on your own hardware costs nothing per token, works on a plane, and never sends your code elsewhere. On Apple Silicon it's fast too — unified memory is a large part of why Mac Minis are back-ordered for...
22 days ago • 8 min read
(view in browser) Jul 29th Dear Reader, Welcome to the July 29th edition of the Data Science Briefing. Announcements Put your old Mac to work serving a local LLM. Running a language model on your own hardware costs nothing per token, works on a plane, and never sends your code elsewhere. On Apple Silicon it's fast too — unified memory is a large part of why Mac Minis are back-ordered for weeks. This post covers the whole path: install llama.cpp, pull a GGUF, and serve it over an...
29 days ago • 6 min read
(view in browser) Jul 22nd Dear Reader, Welcome to the 328th edition of the Data Science Briefing. Announcements Ready to level up your understanding of AI agents? 🤖 AI agents are only as effective as the systems that orchestrate them. While most discussions focus on choosing the right model or writing better prompts, the real challenge is building a harness that can manage context, coordinate tools, recover from failures, and execute complex workflows reliably. A well-designed agentic...
about 1 month ago • 5 min read
(view in browser) Jul 15th Dear Reader, Welcome to the july 15th edition of the Data Science Briefing. Announcements Ready to level up your understanding of AI agents? 🤖 AI agents are only as effective as the systems that orchestrate them. While most discussions focus on choosing the right model or writing better prompts, the real challenge is building a harness that can manage context, coordinate tools, recover from failures, and execute complex workflows reliably. A well-designed agentic...
about 1 month ago • 5 min read
(view in browser) Jul 8st Next webinar: Jul 11, 2026 - Production Graph RAG: Build Explainable LLM Apps with Knowledge Graphs [Register] Dear Reader, Welcome to the first of july edition of the Data Science Briefing. Announcements My Graph RAG workshop is this Saturday, July 11. Registration closes soon. If you've been on the fence — here's what you get: 3.5 hours of live, hands-on instruction A working Graph RAG pipeline from scratch Full codebase and notebooks to keep Certificate of...
about 2 months ago • 6 min read
(view in browser) Jul 1st Next webinar: Jul 8, 2026 - Automate the Boring Developer Stuff with LLMs [Register] Dear Reader, Welcome to the first of july edition of the Data Science Briefing. Announcements Graph RAG combines the best of both: you still use retrieval, but instead of retrieving raw chunks, you retrieve structured paths through a graph. The LLM gets grounded, traceable context. Not just "here are some relevant paragraphs." The result: answers that are explainable, multi-hop...
about 2 months ago • 7 min read
(view in browser) Jun 24th Next webinar: Jul 8, 2026 - Automate the Boring Developer Stuff with LLMs [Register] Dear Reader, This week we continue our 7th anniversary celebration with a new blog post over on the substack: Build a Language Model by Counting where we use a Markov Chain approach to build a simple language model based on the wikitext 103 dataset. Announcements Graph RAG combines the best of both: you still use retrieval, but instead of retrieving raw chunks, you retrieve...
2 months ago • 6 min read
