4 ms·
Talos: Hardware accelerator for deep convolutional neural networks
- arjvik 7mo agoNot to take away from this cool project, but its design decisions are incredibly impractical.
- refulgentis 7mo agoI honestly can’t tell if it’s a cool project or just a md file someone with 0 experience had an LLM output.
- imtringued 7mo agoConsidering the use of 32-bit fixed point numbers, you can bet on that person having zero clues. Even the crappiest FPGA has at least 18x18 multipliers, meaning that you could add a small exponent on top to get a floating point type with a slightly worse precision than single precision floats. 32 bit fixed point doesn't map to any DSP I'm aware of.
- noosphr 7mo ago> It isn't just a reimplementation of existing software logic in hardware; it is a rethinking of how deep learning inference should work at the circuit level. [...] By implementing the entire inference pipeline in SystemVerilog, we achieve deterministic, cycle-accurate control over every calculation. [...] But don’t let the two-week timeline fool you. Those were two weeks full of 18-hour days, fueled by caffeine and sheer stubbornness. I'm having a hard time figuring out if this is satire or not.
- jcgrillo 7mo agoFrom personal experience caffeine is not enough for 2wk of 18hr days.. you need some pervitin type shit
- tadfisher 7mo agoMy advice: write your own English prose, and try not to let "LLM-speak" leak into your documentation when using them to edit. Ironically, LLMs just plain suck at writing English, like they're incredibly overfit on marketing copy and press releases. I hope someone is working on this, or at least cares about the problem, because that would make this brave new world palatable for reading.
- vidarh 7mo agoThey really don't, if you actually bother prompting them. Give them a voice sample, and tell them to match the tone, and you already get something 10x better. Have them revise with a list of common writing problems - not just common LLM patterns, but guidelines for writing better - and you get rid of more. Properly prompted, an LLM writes far better than most people.
- jdcasale 7mo agoWithout weighing in on whether this is true, I'll point out that LLMs could both be better writers than most people and also be bad writers. Writing is a difficult skill that many (most?) educational systems do not effectively teach. Most people are terrible writers.
- vidarh 7mo agoYes, but for most uses that is irrelevant. Most of the complaints are not about them not being top-level writers, but that they stand out negatively from human writing by relying on a bunch of bad tropes and stereotypical language use. Maybe we shouldn't use it to write novels if we can't push it well beyond average, but you don't need to get it to produce anything more than pretty much average or a little bit better for it to be good enough in competition with average humans.
- tadfisher 7mo agoThat is precisely the problem. When writing technical documentation, such as the landing page for an FPGA inference engine, a model should not need to be prompted to use proper voice and to avoid marketing language. There should be enough context in the text of the prompt itself.
- refulgentis 7mo agoThis is horrible LLM slop, my god. Winced my way through “Convolutions are in CNNs (it’s literally in the name, Convolutional Neural Network)”, then had to stop. It’s honestly offensive to me. It doesn’t even make sense on its own terms. For some reason we fly from LLM inferencing to toy MSINT to convolutions with __0__ transition or sense of structure.
- fc417fc802 7mo agoAside from the verbose AI slop it's an interesting hobby project for exploring FPGAs. But it doesn't do anything you can't do on CPU by using a model that's small enough to fit in cache. In terms of practical use you'd be better off implementing a minuscule model using vector intrinsics in your favorite systems language.
- roughly 7mo agoIf the author and/or anyone else hasn't seen Sidero's Talos Linux distro, it's my current favorite way to spin up a bare metal Kubernetes cluster: https://www.talos.dev/ https://www.talos.dev/
- neoCrimeLabs 7mo agoAgreed. Also, in my experience, a great way to run K8s in IAAS while minimizing vendor lock-in.
- zmmmmm 7mo ago> Talos is a custom FPGA-based hardware accelerator built from the ground up to execute Convolutional Neural Networks with extreme efficiency Makes it sound like it's new hardware. This is just (I'm inferring) software to program an off the shelf FPGA to do convolutions. Very minimal ones by the look of it (MNIST etc).
- deleted 7mo ago[deleted]
- MarcelOlsz 7mo agoLove those animations/diagrams. How were they made?
- deleted 7mo ago[deleted]
- analognoise 7mo agoAI slop.
- vivzkestrel 7mo ago- stupid question, are you direct competitor to https://taalas.com/ https://taalas.com/