NHLOCAL

As the well known saying goes: 'Garbage in, garbage out.' I believe the same logic applies in reverse when extremely high-quality data goes in, an exceptionally good model comes out. At the end of the day, it's all about data, training time, and all those so-called 'details'that’s exactly what really matters

I’m familiar with the field of machine learning — I’m not an expert, but it’s quite clear that the developments in recent years have been very significant and very rapid.

There’s actually a tendency among experts in the field to underestimate the power and potential of current AI progress.

This emphasizes significant events. As a model with a new architect, or an event that significantly influenced the industry

AI is moving fast. To help track it all, I built an open-source timeline that maps out every major milestone in generative AI, from GPT-4 to Gemini, from Midjourney to Claude.

It’s updated monthly and covers the key developments across models, tools, and breakthroughs in a clear, no-frills format.

MIT licensed and fully open for contributions. Ideal for staying oriented in the chaos.

Discover the evolution of AI technologies through this curated timeline, featuring key advancements, releases, and developments from 2022 to 2024. Ideal for researchers, developers, and enthusiasts seeking a chronological overview of AI's rapid progress