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On Chat GPT Dumbness, Trustbit Benchmarks and ML Product Labs
The reports of my dumbness are greatly exaggerated. (c) ChatGPT
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Fine-tuning for GPT-3.5
It will not teach your GPT new tricks, but can make it faster and more predictable.
Breaking the curse of LLM v2
New releases of large language models focus on efficiency. Sometimes quality is sacrificed. LLaMA v2 was a nice surprise.
Open Source LLMs are Surprisingly Good
We can already replace GPT-4 with locally-run models in some products. Benchmarks help to pinpoint opportunities for migration. Results get only better…
Running out of GPUs
OpenAI and Microsoft Azure can't keep up with the demand for GPT-4: they don't have enough GPUs.
Loopholes in AI Regulation
Governments will try to control large AI models, once they agree on the details. Their regulations will be irrelevant by then.
Learning Fast, Failing Forward
How to stay ahead in the ever-changing AI landscape
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What to do in a Cambrian explosion?
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…
ML Under the Hood
ML Under the Hood
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.
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