tama_sala
No user record in our sample, but tama_sala has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
No user record in our sample, but tama_sala has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
The library already has tinygrad support it seems, so it's not limited to Apple & MLX
You can use other models like a vision LLM, or use AI agents as well
The embedding size is only 8k so while the parameters are 70B. So it's a huge difference
This is the most relatable comment in this thread. I had the same experience when I was using ros.org and moved to a new distro
Correct, which one of the main moats Nvidia has when it comes to training
Potato/ Jerusalem artichoke ? (“Erdapfel”) is my fav