Let’s look at the most impactful AI repositories trending on GitHub right now, covering what they do, why they matter, and how they fit into the broader AI landscape.
OLLAMA ... this was a gate opener for developing AI driven solutions when privacy and security are your primary concerns, and you have no access / budget / authorisation to use cloud based LLMs to interact with your proof of concept. It took me a while to download and setup the big model (~5 GB) in my laptop, but it was worth it.
A larger question is how OS is going to change in an AI-first world, especially when you can recreate any GPL project in a clean room and therefore freeing oneself from any licensing constraints.
Surprised vLLM didn't make the cut!
vLLM (https://github.com/vllm-project/vllm) was one of the fastest growing open source projects by contributors! https://github.blog/news-insights/octoverse/octoverse-a-new-developer-joins-github-every-second-as-ai-leads-typescript-to-1/
OLLAMA ... this was a gate opener for developing AI driven solutions when privacy and security are your primary concerns, and you have no access / budget / authorisation to use cloud based LLMs to interact with your proof of concept. It took me a while to download and setup the big model (~5 GB) in my laptop, but it was worth it.
A larger question is how OS is going to change in an AI-first world, especially when you can recreate any GPL project in a clean room and therefore freeing oneself from any licensing constraints.