1,669 karma · joined December 5, 2014
hnchat:iah9cGDqdgU2TCHEINZt
I wish these engines could explain why it is recommending certain move, or certain sequence of moves, using natural language - it would be very useful for learning.
> you see that the reverse proxying rules you would need are more complicated than usual. you can’t Simply forward /api to your application and the rest to the frontend due to various reasons outside your control.
If the author is reading: Can you elaborate on what reason you are referring to that are outside my control?
What is the use case when someone would want to differentiate system/user installed package? Isn't it good things that they are the same - meaning once something is install - it is there regardless of how it got here.
What makes CUDA Programming: A Developer's Guide to Parallel Computing with GPUs better among its peers?
On a separate note, what tool is the final benchmark screenshot form?
https://www.swiss-ai.org/apertus
Source: EPFL, ETH Zurich, and the Swiss National Supercomputing Centre (CSCS) has released Apertus, Switzerland’s first large-scale open, multilingual language model — a milestone in generative AI for transparency and diversity. Trained on 15 trillion tokens across more than 1,000 languages – 40% of the data is non-English – Apertus includes many languages that have so far been underrepresented in LLMs, such as Swiss German, Romansh, and many others. Apertus serves as a building block for developers and organizations for future applications such as chatbots, translation systems, or educational tools. The model is named Apertus – Latin for “open” – highlighting its distinctive feature: the entire development process, including its architecture, model weights, and training data and recipes, is openly accessible and fully documented.
Can someone give me some high level pointers on how to setup this scaffolding?
If the author reading: I am curious to see an worked out example where writing the assembly code was necessary.