poe_sidebar_robots_remover VS mlc-llm

Not Apple OS integrated but have you used Poe? Allows you to chat with ChatGPT, Gemini, etc all in one place.

https://poe.com/

(I am completely unaffiliated with them)

Try bing gpt or this website https://poe.com/ Those are the ones I use to build my strategy in pine script based on YouTube videos. Hope it works for you, also some times you need a lot of patience.

Tried it on poe.com. It's very bad at painterly styles, so not my cup of tea unfortunately.

you could use a service like poe.com. they provide gpt-4 along with many other models.

Thank u OpenAI, we use poe.com and pay for premium but without GPT-4 it would make my life and his sooo much harder! I cried last night in appreciation i wish i could do more but i cant. So thank you, thank you so fucking much. I know r/ChatGPT isnt affiliated with OpenAI but im sure some members of OpenAI engineers browse here so i wanna make my mark! Idk how else to give them feedback! We even use the speech to text technique because its even easier for him and its really revolutionising learning for him.

Website: Poe

Try using the web search bot on poe.com with a specific tag & sentence that you remember from the description. I once used it to find a really obscure harry potter fanfic.

POE- Mainly for SFW chat with different LLMs.

While Poe from Quora is extempted from stripe restricted businesses, startups like GirlfriendGPT get bullied! The functionality of both AI chat engines is the same.

free combination of bing/perplexity/claude.ai would be suffient for too poe.com for 20 has much faster gpt4 and you can have simoultanous convos but people mention the quality is worse than chatgpt.

This one uses gpu, it doesn't support Mistral yet: https://github.com/mlc-ai/mlc-llm

I have tried running mistral 7B with MLC on my m1 metal. And it kept crushing (git issue with description). Memory inefficiency problems.

Project: https://github.com/mlc-ai/mlc-llm

For LLM inference, a shoutout to MLC LLM, which runs LLM models on basically any API that's widely available: https://github.com/mlc-ai/mlc-llm

One of your problems might be that gfx1032 is not supported by AMD's ROCm packages, which has a laughably short list of supported hardware: https://rocm.docs.amd.com/en/latest/release/gpu_os_support.h...

The normal workaround is to assign the closest architecture, eg gfx1030, so `HSA_OVERRIDE_GFX_VERSION=10.3.0` might help

Also, it looks like some of your tested projects are OpenCL? For me, I do something like: `yay -S rocm-hip-sdk rocm-ml-sdk rocm-opencl-sdk` to cover all the bases.

My recent interest has been LLMs and this is my general step by step for those (llama.cpp, exllama) for those interested: https://llm-tracker.info/books/howto-guides/page/amd-gpus

I didn't port the docs back in, but also here's a step-by-step w/ my adventures getting TVM/MLC working w/ an APU: https://github.com/mlc-ai/mlc-llm/issues/787

From my experience, ROCm is improving, but there's a good reason that Nvidia has 90% market share even at big price premiums.

Maybe they're talking about https://github.com/mlc-ai/mlc-llm which is used for web-llm (https://github.com/mlc-ai/web-llm)? Seems to be using TVM.

you already have TVM for the cross platform stuff

see https://tvm.apache.org/docs/how_to/deploy/android.html

or https://octoml.ai/blog/using-swift-and-apache-tvm-to-develop...

or https://github.com/mlc-ai/mlc-llm