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Hello, my Dear Reader.

February 2024

November 2023

On ChatGPT-4, Mistral 7B OpenChat and OpenAI going vertical
Rate of the progress keeps up. Not all of it is locked behind OpenAI

October 2023

September 2023

On Chat GPT Dumbness, Trustbit Benchmarks and ML Product Labs
The reports of my dumbness are greatly exaggerated. (c) ChatGPT

August 2023

Fine-tuning for GPT-3.5
It will not teach your GPT new tricks, but can make it faster and more predictable.

July 2023

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.

June 2023

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.

May 2023

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
2
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…
© 2024 Rinat Abdullin
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