promptfoo
chat-ui
promptfoo | chat-ui | |
---|---|---|
20 | 40 | |
2,921 | 6,369 | |
23.7% | 10.8% | |
9.9 | 9.7 | |
5 days ago | 5 days ago | |
TypeScript | TypeScript | |
MIT License | Apache License 2.0 |
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.
promptfoo
- Google CodeGemma: Open Code Models Based on Gemma [pdf]
- AI Infrastructure Landscape
- Promptfoo – Testing and Evaluation for LLMs
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Show HN: Prompt-Engineering Tool: AI-to-AI Testing for LLM
Super interesting. We've been experimenting with [promptfoo](https://github.com/promptfoo/promptfoo) at my work, and this looks very similar.
- GitHub – promptfoo/promptfoo: Test your prompts
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I asked 60 LLMs a set of 20 questions
In case anyone's interested in running their own benchmark across many LLMs, I've built a generic harness for this at https://github.com/promptfoo/promptfoo.
I encourage people considering LLM applications to test the models on their _own data and examples_ rather than extrapolating general benchmarks.
This library supports OpenAI, Anthropic, Google, Llama and Codellama, any model on Replicate, and any model on Ollama, etc. out of the box. As an example, I wrote up an example benchmark comparing GPT model censorship with Llama models here: https://promptfoo.dev/docs/guides/llama2-uncensored-benchmar.... Hope this helps someone.
- Ask HN: Prompt Manager for Developers
- DeepEval – Unit Testing for LLMs
- Show HN: Knit – A Better LLM Playground
- Show HN: CLI for testing and evaluating LLM outputs
chat-ui
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Zephyr 141B, a Mixtral 8x22B fine-tune, is now available in Hugging Chat
Zephyr 141B is a Mixtral 8x22B fine-tune. Here are some interesting details
- Base model: Mixtral 8x22B, 8 experts, 141B total params, 35B activated params
- Fine-tuned with ORPO, a new alignment algorithm with no SFT step (hence much faster than DPO/PPO)
- Trained with 7K open data instances -> high-quality, synthetic, multi-turn
- Apache 2
Everything is open:
- Final Model: https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v...
- Base Model: https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1
- Fine-tune data: https://huggingface.co/datasets/argilla/distilabel-capybara-...
- Recipe/code to train the model: https://huggingface.co/datasets/argilla/distilabel-capybara-...
- Open-source inference engine: https://github.com/huggingface/text-generation-inference
- Open-source UI code https://github.com/huggingface/chat-ui
Have fun!
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AI enthusiasm - episode #2🚀
As long as you have a free Hugging Face account, you can sign up and exploit HuggingChat, a web-based chat interface where you will find 5 large language models to play with (Mixtral-7B-it v0.1 and v0.2, Command R plus, Gemma 1.1-7B-it, Dolphin). You will also have the possibility to exploit several assistants made by the Hugging Face community, or even create your own!
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OpenAI Startup Fund: GP Hallucination
I submitted something about this the other day (and it got flagged)- poked around a little bit and the only interesting thing I could find is this: https://github.com/huggingface/chat-ui/issues/254 and I don't really even understand what it is, it references the stuff the dude who wrote this is discussing. I had kinda written the whole thing off as someone with too much time on their hands and is just f'ing around with stuff for whatever reason.
I think they made this as well: https://chat.openai.com/g/g-KT4gusP3Y-a-l-i-s-t-a-i-r-e-earl... - it doesn't seem very useful.
*¯\_(ツ)_/¯ to me after spending an hr or so poking around, it seemed like a bored modern tech savvy young person playing around.
- ⚔️ Embeddings, Chatbots RAG Arena et forfaits Telecom OPT-NC
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Show HN: I made an app to use local AI as daily driver
- https://github.com/huggingface/chat-ui
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Deconstructing Hugging Face Chat: Explore open-source chat UI/UX for generative AI
Hugging Face Chat - open-source repo powering Hugging Chat!
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What are you guys using local LLMs for?
If you don't want to do coding, I think HuggingFace's chat-ui can come in handy with web retrieval RAG and llama-cpp running as a server. Please check their documentation on how to setup( See "Running your own models using a custom endpoint" section on their Github).
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The founder of OpenAI/ChatGPT is a Zionist calling people that are against Israeli genocide “antisemitist”, how dare the American left speak against genocide!?
yes! it's proprietary, invasive, and harvests your data and use it for improving the AI, Ultman went to Israel weeks after Chatgpt was introduced, Israel like any other tech-giant-country needs to make sure that it has control over that data and/or use it to achieve its goals, so it's better to find offline FOSS alternatives (if you have a decent enough PC) or use HuggingChat as an online FOSS alternative, I find it better than GPT 3.5 in many aspects
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Smartphone Brands Sorted Out, So You Don't Have To
I have categorized some of the smartphone brands by their parent company using HuggingChat based on RLHF, Google's Bard, ChatGPT, and Perplexity. All of them are powered by LLMs, and both ChatGPT and Perplexity use GPT-3.5.
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Accessing ChatGPT in non-official UI
I'm looking for something like https://huggingface.co/chat/ or OpenAssistant, but it should target OpenAI's api.
What are some alternatives?
shap-e - Generate 3D objects conditioned on text or images
DiscordChatExporter-frontend - Browse json files exported by Tyrrrz/DiscordChatExporter in familiar discord like user interface
prompt-engineering - Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
WizardLM - Family of instruction-following LLMs powered by Evol-Instruct: WizardLM, WizardCoder and WizardMath
basaran - Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.
litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
ChainForge - An open-source visual programming environment for battle-testing prompts to LLMs.
AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
WizardVicunaLM - LLM that combines the principles of wizardLM and vicunaLM
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.