Holy cow their chatapp demo!!! I for first time thought i mistakenly pasted the answer. It was literally in a blink of an eye.!! https://chatjimmy.ai/
Fast, but stupid. Me: "How many r's in strawberry?" Jimmy: There are 2 r's in "strawberry". Generated in 0.001s • 17,825 tok/s The question is not about how fast it is. The real question(s) are: 1. How is this worth it over diffusion LLMs (No mention of diffusion LLMs at all in this thread) (This also assumes that diffusion LLMs will get faster) 2. Will Talaas also work with reasoning models, especially those that ar…
The path to ubiquitous AI (17k tokens/sec)
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Re: The path to ubiquitous AI (17k tokens/sec)
#302The focus here should be on the custom hardware they are producing and its performance, that is whats impressive. Imagine putting GLM-5 on this, that'd be insane.
This reminds me a lot of when I tried the Mercury coder model by Inceptionlabs, they are creating something called a dLLM which is like a diffusion based llm. The speed is still impressive when playing aroun with it sometimes. But this, this is something else, it's almost unbelievable. As soon as I hit the enter key, the response appears, it feels instant.
I am also curious about Taalas pricing.
> Taalas’ silicon Llama achieves 17K tokens/sec per user, nearly 10X faster than the current state of the art, while costing 20X less to build, and consuming 10X less power.
Do we have an idea of how much a unit / inference / api will cost?
Also, considering how fast people switch models to keep up with the pace. Is there really a potential market for hardware designed for one model only? What will they do when they want to upgrade to a better version? Throw the current hardware and buy another one? Shouldn't there be a more flexible way? Maybe only having to switch the chip on top like how people upgrade CPUs. I don't know, just thinking out loudly.
Re: The path to ubiquitous AI (17k tokens/sec)
#303The background on your site genuinely made me wonder what was wrong with my monitor.
Re: The path to ubiquitous AI (17k tokens/sec)
#304The speed of the chatbot's response is startling when you're used to the simulated fast typing of ChatGPT and others. But the Llama 3.1 8B model Taalas uses predictably results in incorrect answers, hallucinations, poor reliability as a chatbot. What type of latency-sensitive applications are appropriate for a small-model, high-throughput solution like this? I presume this type of specialization is necessary for robo…
Routing in agent pipelines is another use. "Does user prompt A make sense with document type A?" If yes, continue, if no, escalate. That sort of thing
Re: The path to ubiquitous AI (17k tokens/sec)
#305Re: The path to ubiquitous AI (17k tokens/sec)
#306I tried the chatbot. jarring to see a large response come back instantly at over 15k tok/sec I'll take one with a frontier model please, for my local coding and home ai needs..
Re: The path to ubiquitous AI (17k tokens/sec)
#307Re: The path to ubiquitous AI (17k tokens/sec)
#308Re: The path to ubiquitous AI (17k tokens/sec)
#309Re: The path to ubiquitous AI (17k tokens/sec)
#310Holy cow their chatapp demo!!! I for first time thought i mistakenly pasted the answer. It was literally in a blink of an eye.!! https://chatjimmy.ai/
I asked it to design a submarine for my cat and literally the instant my finger touched return the answer was there. And that is factoring in the round-trip time for the data too. Crazy. The answer wasn't dumb like others are getting. It was pretty comprehensive and useful. While the idea of a feline submarine is adorable, please be aware that building a real submarine requires significant expertise, specialized equi…