openplayground
awesome-ml
openplayground | awesome-ml | |
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12 | 27 | |
6,108 | 1,449 | |
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0.6 | 8.8 | |
15 days ago | 5 days ago | |
TypeScript | ||
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
openplayground
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Show HN: Unified access to top AI models, supporting GPT4, Claude and more
https://github.com/nat/openplayground
I load up $5 into my account using my credit card and then reload it whenever it gets low, it also has a tab for comparing multiple resulta from different models together.
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I love how many people want a way bigger context window for example for GPT-4 (like 100k-1m). May I introduce you the cost of one API call at the full 32k context window? 2$. So 1m would approximately cost you 60$. One call. 60$.
https://github.com/nat/openplayground https://discord.gg/uT98U9HJ.
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How good is the 100k context model?
Try here: https://github.com/nat/openplayground
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Performance of GPT-4 vs PaLM 2
From there you have lots of other models: One of the best places to easily start using multiple models is using a multiple model UI program lik GPT4All, there are also some programs that provide access to more models or use different ways of interfacing with them, here are some of what I've found are the best / most popular programs to play around with lots of different models and compare them: LocalAI, text-generation-webui, open playground
- Show HN: Promptfoo – a tool for comparing LLM prompts and models
- Show HN: AI Playground by Vercel Labs
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What is this subreddit about? I can't tell if its wifaus or locally run LLMs
Here's another interesting engine called AI playground that lets you do side-by-side comparisons of language models based on the same prompts: https://github.com/nat/openplayground
- An LLM playground you can run on your laptop
awesome-ml
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AI Infrastructure Landscape
I do something like that for open source:
https://github.com/underlines/awesome-ml
But it lost a bit of traction lately.
It needs re-work for the categories, or better, a tagging system, because these products and libraries can sit in more than one space.
Plus it either needs massive collaboration, or some form of automation (with an LLM and indexer), as I can't keep up with it.
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OpenVoice: Versatile Instant Voice Cloning
This aera is barely new. Look at how old some of the projects are:
https://github.com/underlines/awesome-ml/blob/master/audio-a...
The thing that changes is the complexity to run it. I was training my wife's voice and my voice for fun and needed 15min of audio and trained on my 3080 for 40 minutes.
Now it's 2 Minutes.
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Show HN: Floneum, a graph editor for local AI workflows
Thanks for your clarifications. I added it to my awesome list:
https://github.com/underlines/awesome-marketing-datascience/...
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AI for AWS Documentation
RAG is very difficult to do right. I am experimenting with various RAG projects from [1]. The main problems are:
- Chunking can interfer with context boundaries
- Content vectors can differ vastly from question vectors, for this you have to use hypothetical embeddings (they generate artificial questions and store them)
- Instead of saving just one embedding per text-chuck you should store various (text chunk, hypothetical embedding questions, meta data)
- RAG will miserably fail with requests like "summarize the whole document"
- to my knowledge, openAI embeddings aren't performing well, use a embedding that is optimized for question answering or information retrieval and supports multi language. Also look into instructor embeddings: https://github.com/embeddings-benchmark/mteb
1 https://github.com/underlines/awesome-marketing-datascience/...
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Explore and compare the parameters of top-performing LLMs
I do the same and with currently with 700+ github stars people seem to like it, but it's still curated/manual, because the hf search API is so limited and I don't have the time to create a scraper.
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Vicuna v1.3 13B and 7B released, trained with twice the amount of ShareGPT data
Added to the list
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Useful Links and Info
I keep mine fairly up to date as well, almost daily: https://github.com/underlines/awesome-marketing-datascience/blob/master/README.md
- How to keep track of all the LLMs out there?
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Run and create custom ChatGPT-like bots with OpenChat
Disclaimer: I am curating LLM-tools on github [1]
A few thoughts:
* allow for custom endpoint URLs, this way people can use open source LLMs with a fake openAI API backend like basaran[2] or llama-api-server[3]
* look into better embedding methods for info-retrieval like InstructorEmbeddings or Document Summary Index
* Don't use a single embedding per content item, use multiple to increase retrieval quality
1 https://github.com/underlines/awesome-marketing-datascience/...
2 https://github.com/hyperonym/basaran
3 https://github.com/iaalm/llama-api-server
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Seeking clarification about LLM's, Tools, etc.. for developers.
Oobabooga isn't a wrapper for llama.cpp, but it can act as such. A usual Oobabooga installation on windows will use a GPTQ wheel (binary) compiled for cuda/windows, or alternatively use llama.cpp's API and act as a GUI. On Linux you had the choice to use the triton or cuda branch for GPTQ, but I don't know if that is still the case. You can also go the route to use virtualized and hardware accelerated WSL2 Ubuntu on Windows and use anything similar to linux. See my guide
What are some alternatives?
llama.cpp - LLM inference in C/C++
anything-llm - The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
BetterChatGPT - An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)
OpenChat - LLMs custom-chatbots console ⚡
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
AGiXT - AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
promptfoo - Test your prompts, models, and RAGs. Catch regressions and improve prompt quality. LLM evals for OpenAI, Azure, Anthropic, Gemini, Mistral, Llama, Bedrock, Ollama, and other local & private models with CI/CD integration.
llama-mps - Experimental fork of Facebooks LLaMa model which runs it with GPU acceleration on Apple Silicon M1/M2
ChatALL - Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
mnotify - A matrix cli client
galai - Model API for GALACTICA
mteb - MTEB: Massive Text Embedding Benchmark