bguberfain

Isn't it just learning to map specific words, from the "knife world", to the correct class? If so, a simple dictionary would fit. What I think is a better way to validate is to split train/validation by words used presented in NER classes (like, it should be able to find new brands never seen before). It is a interesting problem.

Plot twist: the GLM optimization agent figured out that it can hack and use NVIDIA GPUs on a US Cloud provider and make the inference 10x faster.

Nowadays we use LLMs mostly for doing agentic-based work. LLMs new Pareto frontier only make the headlines if they push the boundaries on benchmarks that are deterministic tasks. So models are encouraged to focus on these deterministic tasks that are, in nature, structured texts. I think that this makes models more “plastic” or “polished”, as opposed to natural and pleasant to read. User-based benchmarks, like LLM Arena, are for me the best we can do in order to rank models in this way, but come with its own drawback (subjective evaluation, prone to spam or techniques to promote a giving model).

It is good to se big companies like Microsoft launching LLMs. They have large amount of compute power and good scientists to create useful models.

Any plans to port to sglang or vLLM?

It seems to be something related the moving average calculation. So it is just a glitch on the chart.

This guy seems to be talking seriously.

Not to demerit the recording, but I felt more nostalgic for the last sentence of the article "Sometimes, the internet is good" than for the musics itself.

We all know it... but I think they were very bold in this warning about using your private messages to train public models. _Your messages with AIs will be used to improve AI at Meta. Don't share information, including sensitive topics, about others or yourself that you don't want the AI to retain and use_

"A watchdog kernel thread monitors RAM and NVMe pressure and signals userspace before things get dangerous." - which kind of danger this type of solution can have?

We can finally search for playlists with a giving song! A basic feature that Spotify is missing!