Fine-Tuned: When off-the-shelf isn't enough

Get up-to-date information at: https://luma.com/k1ib9qk1 Address: Check event page for more details. Foundation models have improved dramatically, and many are questioning whether fine-tuning still makes sense. At the same time, as AI margins compress and diminishing returns set in, companies are shifting toward smaller, domain-specific models built on proprietary data. Fine-tuning is getting cheaper, open-weights models are catching up, and differentiation through your own data beats competing on prompt engineering alone. Join Curiosity VC and Cloudflare for a curated fireside chat exploring where fine-tuning still wins, where it does not, and what that means for founders building… Hosted by Elliot Schouten