Open-weight models may not match the latest state-of-the-art models out of the gate. But that doesn’t mean they can’t b…
From @oreillymedia on Instagram — 4.9K followers · See full profile →
Open-weight models may not match the latest state-of-the-art models out of the gate. But that doesn’t mean they can’t be useful—or even, with a little more work on your part, get you equivalent results. Here’s LanceDB cofounder and CEO Chang She on what’s possible: “Open-weight models, one, are cheaper, and they're much faster. So if you have a coding agent task, you can do a one-shot with SOTA models, or you can do multiple rounds and iterations on an open-weight model, which gets you the…
Tags: AI Agents · Open Models · Frontier · Reel
Topics in this post
Hashtags in this post
More from @oreillymedia
- The rise of agents has driven an explosion in data volume and scale. “Trillion is the new billion,” says LanceDB cofoun…
- LanceDB’s open source Lance format is becoming the new standard for multimodal data—it's one of the most popular memory…
- On July 14, join host Mike Amundsen and a range of experts to understand how you can prepare yourself and your APIs for…
- The data lakehouse is a fairly standard concept at this point. LanceDB cofounder and CEO Chang She explains why AI work…
- “We've never built our business processes in a model where we assume that there's a new user in that workflow that appe…
- “We think that just because AI agents can produce code that that means that it becomes a less technical type of domain,…