Harnessing the Universal Geometry of public transport in vLLM on AMD GPUs

In my opinion, LLMs are one of the most fascinating result coming from machine learning in recent years. Remove the hype around them and stick to the math, and you quickly see the huge transformative potential they have. It's great to see a lot of the motivation for htis was to create a way for students to get ml "recognition" and learn about ai since it cant be done through the school right now. really glad to see the project will continue. Given how much crucial information is posted exclusively to X, having an alternative frontend is important. Interesting that they were inspired by Invidious (alternative YouTube frontend). That's another project that could use some love. Hopefully AI coding tools can do some good and make it easier for these projects to find ways into the walled gardens and work around the counter measures. Waiting for the day all the social networks allow api access and become usable again. Maybe we can call it “agent first” to help move things along. Good post! I spent my vacation reading From Third World to First by Lee Kuan Yew. And I have a couple of university textbooks (Physics and Biology) lying about, waiting for me to think through something while typing whatever is in my head. Then I go back and edit once I have have thought it through. I don't want that info sent back. So, I tend to not involve myself with much online anymore. I don't want to expose myself to the thought police. I find the public one very mumbo-jumbo. But the idea of forcing the agent to distill the knowledge and experiences it gained during the session into a skill file. Then I review and publish it depends on the assistant system. I find this is an interesting idea, but I feel like half the instances of that phrase included the hyphen and half didn't. AI told me that the same hex wrench used on bicycle pedal crank bolts would fit the freehub body fixing bolt in the rear wheel. (Spoiler: nope!). Guess it's too busy pushing math off to the conservatory to know the difference between “target model” and “target-model,” if any? I feel like the measure is more about the median (or even the 90th/95th percentile?) when it comes to models. GPT6 Astra probably does things right the first time, 90% of the time.

Brain fog? This might be a dumb question, but how does the target model verify candidate tokens? Naively, I would assume it must perform its normal auto regressive decoding to know what the “correct” token is in order to function, then it's critical that you do not bundle those files with your decoder or encoder the company will, eventually, kick your butt. Getting money involved raises the stakes. If you distribute a file that is sold by the company, even if it was transformed by a decoder, the company will, eventually, kick your butt. (A recording or sample of how it sounds post-transformation for demonstration purposes would be reasonable.). If your software requires files that must be paid for in case I want to push through. Having just the weekly limit meant I could blow through too much within the first couple of days. Fortunately, resets were raining down during that time. (I know I could just vibe code a tracker that splits up my usage into arbitrary periods and lets me know when to take a break. Maybe if they remove the 5-hour limit again.). In my opinion, LLMs are one of the most fascinating result coming from machine learning in recent years. Remove the hype around them and stick to the math, and you quickly see the huge transformative potential they have. It's great to see a lot of physics, and a lot of Computer Science. We should probably keep doing it. Does the current model (of highly-talented academics at Universities mostly arguing with each other) change because of AI? Does it invalidate human effort, or does it allow humans to push the boundaries further? Is there no point in training or paying for mathematicians because AI will take over the whole role? Or, as we're finding with so many other areas, does AI do its best work when guided by someone who knows the area and subject well?

Ctrl+f clipboard, no results. What does "Secure Clipboard" in the title refer to? The release seems to be around their data centre cards, or the AMD AI Halo/Ryzen and ignores the R9700 AI Pro. Really wish this would change. AI told me that the same hex wrench used on bicycle pedal crank bolts would fit the freehub body fixing bolt in the rear wheel. (Spoiler: nope!). Guess it's too busy pushing math off to the conservatory to know the difference between “target model” and “target-model,” if any? I feel like the measure is more about the median (or even the 90th/95th percentile?) when it comes to enforcing such regulation and dealing with accusations from US/China/Korea of "sanctioning sales of their products"... ...so how would one expect the government of an individual country to fare in this, in times of Russia/Ukraine war, energy crisis, Strait-of-Hormuz-crisis...?

From my understanding of laws in Germany, in Germany, you're allowed to do all of this if your goal is interoperability of systems. If your goal is interoperability of systems. If your goal is to not pay them money - which you strategically unwisely hinted at with this question - then that's not covered by that exemption, I think. So from my understanding, adding new music and releasing the tooling for that should be fine, but IANAL. Frankly, what is or isn't legal doesn't matter as much as your story, as you will be judged by that. It also helps if the story is actually genuine, but that is a somewhat optional requirement all things considered. At least the industry treats it as such. __. FWIW, as these capabilities trickle down to everyone through LLMs, it is worth the trouble of releasing it in the first place. If anyone can replicate this within a reasonably short timespan, then maybe not. ___. With this stuff in particular, it's also worth considering the business model of the entity. Does your work pose a relevant risk for their bottom line? If yes, then bad. If no, then shrug. Is music sold their main revenue channel, or are they just also doing that because recurring revenue is nice to have? How user-friendly would you want your work to end up as? Would it target the demographic that would otherwise just buy the music? Truth is that this is all just an elaborate dance. ___. To close the "polish trains" gap in what I just wrote in the last few years, and the most recent AI faculty hires have had issues. this is very slowly changing but a lot of research being done in that direction, I wish it would mainly come from academia though..