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Posts tagged #llms.
When the people building frontier AI start building institutional infrastructure to manage societal fallout, that tells you more about the timeline than any benchmark.
Different AI models find different things in the same documents. Here's what the research actually shows, and why model choice is a research methodology decision, not a feature checkbox.
AI doesn't read documents like humans do. Here's how to structure your content so AI tools can actually find what you're looking for.
Every RAG vs long-context article ends with "it depends." This one gives you the specific thresholds to make the decision yourself.
Long context windows are getting massive—but that doesn't mean RAG is dead. Here's when each approach actually works, with real numbers.
Most RAG tutorials stop at "it works." This one shows you how to make it work well.
RAG and fine-tuning solve different problems. Here's how to decide which one your project actually needs.
Your knowledge is scattered across a dozen tools, and none of them talk to each other. The AI tools are supposed to help, but they forget everything the moment you close the tab.
We are seeing a shift from AI that chats to AI that acts. This week, we look at 5 open-source projects redefining the build—from autonomous coding agents to infinite video generation.
A founder’s honest take on why AI can slow experienced developers down (METR found a 19% slowdown), why it feels faster, and the three techniques—prompt engineering, context engineering, and workflow engineering—that actually improved my output.