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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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Why hasn't AI eaten the world, yet? And how can we help it?

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.

Leaving the big enterprise, but keeping the enterprise AI lessons

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Schema-Guided Reasoning: What Changed in One Year

New learnings, industry adoption, and unexpected turns

OpenAI o1 Benchmarks - and Streamlining Coding with o1-preview for Maximum Efficiency

Checking the performance of the new o1 models from OpenAI. Bonus: a practical tip on efficient coding with OpenAI o1-preview.

New LLM Benchmarks, Enterprise AI Challenge

Hello, my Dear Reader.

Enterprise LLM Platforms, AI Strategy and Continuous Learning

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?

On ChatGPT-4, Mistral 7B OpenChat and OpenAI going vertical

Rate of the progress keeps up. Not all of it is locked behind OpenAI

Underdog joins the fight

Underdog is the Mistral 7B model with unconventionally open source license. I'll also talk about AWS Bedrock, Anthropic, and Cloudflare Workers AI.

On Chat GPT Dumbness, Trustbit Benchmarks and ML Product Labs

The reports of my dumbness are greatly exaggerated. (c) ChatGPT

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 over time.

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

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, you'll be ready.

On new LLMs, their irrelevance and potential of ChatGPT

Let’s catch up!

New ChatGPT models and ML product cases

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.

AI-driven businesses will come

Hi, we haven't talked for some time.

ChatGPT plugins - bad name, significant impact, scary times

Hi, have you heard the latest joke? OpenAI safety committee gathers before the next release: