Let's talk about ChatGPT and building ML-driven software products. You'll hear from me once a month: relevant industry news, interesting cases and lessons learned.
LLMs are getting smarter, but adoption is blocked by capacity, inertia, and lack of trust in AI. BitGN is my bet on solving the third bottleneck through fun AI challenges that attract strong talent.
If we prove that this ChatGPT thing actually works, how can we quickly catch up with it? How can we employ this new flavour of AI across the company in a pragmatic way?
We can already replace GPT-4 with locally-run models in some products. Benchmarks help to pinpoint opportunities for migration. Results get only better over time.
Technical progress accelerates. Don't try to chase it all, just gather data and prepare for all that tech to be commoditised. When the dust settles, you'll be ready.
Let’s recap the most notable events. We’ll start with the tech highlights, then talk about ML products that companies want to build, problems and solutions.