gradio-rs
— AK (@_akhaliq) 29 août 2024
Gradio Client in Rust. pic.twitter.com/l4JXAMoUtE
gradio-rs Gradio Client in Rust.
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gradio-rs
— AK (@_akhaliq) 29 août 2024
Gradio Client in Rust. pic.twitter.com/l4JXAMoUtE
gradio-rs Gradio Client in Rust.
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https://
github.com/NVIDIA/makani for code and @ECMWF https://
github.com/ecmwf-lab/ai-m
odels
… where models are also hosted

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Chat RAG Interactive Coding Assistant github: https://
github.com/JakeFurtaw/Cha
t-RAG
… Uses a @Gradio App to chat with any model available to @ollama and any files you load into the data directory

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Comfy Anything Community ComfyUI workflows running on @FAL with @Gradio github: https://
github.com/martintomov/co
mfy-anything
…

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Dive into 9 Amazing AI Tools This Week! From Google's custom GPT alternative to a viral AI coding tool, there's a lot to uncover. Here’s a quick rundown! #AI #Innovation #Tech #Futurepedia
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Monopriors
— AK (@_akhaliq) 29 août 2024
github: https://t.co/OopMNFFudl
A library to easily get monocular priors such as scale-invariant depths, metric depths, or surface normals. Using Rerun viewer, Pixi and Gradio for easy use pic.twitter.com/1G4UNX7Zde
Monopriors github: https://
github.com/pablovela5620/
monoprior
… A library to easily get monocular priors such as scale-invariant depths, metric depths, or surface normals. Using Rerun viewer, Pixi and Gradio for easy use

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🆕 Why you should write your own LLM benchmarks
— Latent.Space (@latentspacepod) 29 août 2024
w/ Nicholas Carlini of @GoogleDeepMind
Covering his greatest hits:
– How I Use AI
– My benchmark for large language models
– Extracting Training Data from Large Language Models (RIP @openai logprobs)
Full episode below! pic.twitter.com/TtVkNyIa9c
Why you should write your own LLM benchmarks w/ Nicholas Carlini of @GoogleDeepMind Covering his greatest hits:
– How I Use AI
– My benchmark for large language models
– Extracting Training Data from Large Language Models (RIP @openai logprobs) Full episode below!
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oops — we reused the code from the krea realtime (which does support image styles) thx for pointing that out!
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Because infinity does not exist, there is no difference between a Turing machine and a finite state machine, and the Chomsky hierarchy is vacuous.
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It's OpenRouter — AFAIK it's just naively sending the base model the same prompt format used for Llama 3.1 instruct. Other than that, that's the whole dialog; no system prompt.