May 9 · 9 min read · How I built a 100K-example dataset of executable circuit netlists and fine-tuned a 4B parameter model that scores 88% on functional circuit generation, rivaling GPT-4o's published benchmarks. The Pro
Join discussionApr 29 · 4 min read · As part of my daily learning journey in AI, today I focused on fine‑tuning foundation models and quickly realized something important: Most AI models fail not because they are weak — but because they
Join discussion
Apr 12 · 11 min read · Here is the single most common mistake I see teams make when they start building with LLMs. Someone says "the model doesn't know about our stuff." A smart-sounding engineer nods and says "we should fine-tune it on our data." A project gets scoped. A ...
Join discussionApr 12 · 11 min read · Here is a question you have probably never thought to ask. When you talk to ChatGPT or Claude, and the thing on the other end is unfailingly polite, stays on task, refuses things that seem dangerous, and generally behaves like an assistant — where di...
Join discussionMar 30 · 6 min read · Last week, we were building an AI agent to answer questions about our company's internal documentation. The team split into two camps: one pushing for fine-tuning GPT-4 on our docs, the other advocating for a RAG system. Sound familiar? We see this d...
Join discussionMar 24 · 10 min read · Not all fine-tuning is the same. The method you pick determines your compute bill, your results, and whether your model forgets everything it already knew. Fine-tuning is not a single button you press
Join discussion