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AI Engineer 2023 Keynote - Building Blocks for LLM Systems
Evals, retrieval-augmented generation, guardrails, and collecting feedback; all that good stuff....
Evaluation & Hallucination Detection for Abstractive Summar…
Reference, context, and preference-based metrics, self-consistency, and catching hallucinations....
How to Match LLM Patterns to Problems
Distinguishing problems with external vs. internal LLMs, and data vs non-data patterns...
Patterns for Building LLM-based Systems & Products
Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback....
Obsidian-Copilot: An Assistant for Writing & Reflecting
Writing drafts via retrieval-augmented generation. Also reflecting on the week's journal entries....
Some Intuition on Attention and the Transformer
What's the big deal, intuition on query-key-value vectors, multiple heads, multiple layers, and more....
Open-LLMs - A list of LLMs for Commercial Use
It started with a question that had no clear answer, and led to eight PRs from the community....
Interacting with LLMs with Minimal Chat
Should chat be the main UX for LLMs? I don't think so and believe we can do better....
More Design Patterns For Machine Learning Systems
9 patterns including HITL, hard mining, reframing, cascade, data flywheel, business rules layer, and more....
Raspberry-LLM - Making My Raspberry Pico a Little Smarter
Generating Dr. Seuss headlines, fake WSJ quotes, HackerNews troll comments, and more....
Experimenting with LLMs to Research, Reflect, and Plan
Also, shortcomings in document retrieval and how to overcome them with search & recsys techniques....
LLM-powered Biographies
Asking LLMs to generate biographies to get a sense of how they memorize and regurgitate....
How to Write Data Labeling/Annotation Guidelines
Writing good instructions to achieve high precision and throughput....
Content Moderation & Fraud Detection - Patterns in Industry
Collecting ground truth, data augmentation, cascading heuristics and models, and more....