In the rapidly evolving landscape of AI development, Ollama has emerged as a game-changing tool for running Large Language Models locally. With over 43,000+ GitHub stars and 2000+ forks, Ollama has become the go-to solution for developers seeking to integrate LLMs into their local development workflow. The Rise of Ollama: By the Numbers – 43k+ […]| Collabnix
I wanted to use AI but in a way that was responsible, didn’t dig into my privacy, and helped me to get what I want. One might say I am “hacking” AI. Maybe I am. I’m trying to get it to do what I want it to do on my own terms - the essence of hacking. But first, I had to devise a test. Granted, this| Mark Loveless
Kiran Gangadhar...| blog.nilenso.com
You can now run powerful LLMs like Llama 3.1 directly on your laptop using Ollama. There is no cloud, and there is no cost. Just install, pull a model, and start chatting, all in a local shell.| www.nocentino.com
Learn what Ollama is, its features and how to run it on your local machine with DeepSeek R1 and Smollm2 models| Geshan's Blog
How I setup Fedora 41 to run Ollama using an unsupported Radeon RX 5500.| blue42.net
Learn how to run and host Gemma 2:2b with Ollama on Google Cloud Run in this step-by-step tutorial. You can use Gemma with an API, too, using Ollama| Geshan's Blog
Retrieval-augmented regeneration, also known as RAG, is an NLP technique that can help improve the quality of large language models (LLMs). ...| bartwullems.blogspot.com
Yesterday I talked about OllamaSharp as an alternative (to Semantic Kernel) to talk to your Ollama endpoint using C#. The reason I wanted to...| bartwullems.blogspot.com
