instructor-embedding
Nuggt
| instructor-embedding | Nuggt | |
|---|---|---|
| 4 | 10 | |
| 1,703 | 338 | |
| 3.1% | 0.6% | |
| 5.9 | 8.0 | |
| 10 days ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | Creative Commons Zero v1.0 Universal |
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.
instructor-embedding
-
My experience on starting with fine tuning LLMs with custom data
If you li embeddings and vector DB, you should look into this: https://github.com/HKUNLP/instructor-embedding
-
Build Personal ChatGPT Using Your Data
If you look at a embeddings leaderboard [1], one of the top competitors called InstructorXL [2] is just a pip install away. It's neck and neck with Ada v2 except for a shorter input length and half the dimensions, with the added benefit that you'll always have the model available.
Most of the other options just work with the transformers library.
[1] https://huggingface.co/spaces/mteb/leaderboard
[2] https://github.com/HKUNLP/instructor-embedding
-
I've made a customisable SMS personal assistant which has infinite and persistent semantic memory.
Use instructor-embedding to to make it 100% local and even maybe quick relationship lookup (embed relationship info with sentiment analysis instruction)
-
Whisper Transcription Formatting
First.I believe having srt subtitles as whisper result would be better.Essentially you don't need just a list of words like YouTube does.You need something more structured.I don't remember what whisper outputs so I might be wrong.There is whisperx for that as example. And then maybe use gpt index over it.Or something like instructor model That can work.
Nuggt
- What's the closest thing we have to GPT4's code interpreter right now?
-
My experience on starting with fine tuning LLMs with custom data
Yes, there is a lot of potential. You can check this project for agents: https://github.com/Nuggt-dev/Nuggt/ . Currently I only have "simple" projects: mostly 0-shots LLMs to get some responses. Agents are not yet mature enough to be integrated in production environments.
- Show HN: An Autonomous Agent That Runs on Open Source Local LLMs
-
[P] Nuggt: A LLM Agent that runs on Wizcoder-15B (4-bit Quantised). It's time to democratise LLM Agents
Check out the Github Repository
-
OpenAI: We are disabling the Browse plugin
Things are changing every day. Take a look here: https://github.com/Nuggt-dev/Nuggt This is AutoGPT equivalent using a self hosted model. See what it can do.
- “Autonomous Agents” or “Directed Agents”? What Are the Pros and Cons?
-
15-Jun-2023
Automate any task with a single AI Command (https://github.com/Nuggt-dev/Nuggt)
-
Github Project: Automate any task with a single AI Command.
Demo Video: https://github-production-user-asset-6210df.s3.amazonaws.com/52075633/244840595-00e7c82c-61fe-4f04-b589-d65b97f441ff.mp4 🔎 Call for Feedback: We invite the community to try out Nuggt and provide valuable feedback. Let us know your thoughts, suggestions, and any improvements you'd like to see. Your feedback will help us shape the future of Nuggt and make it even better. 🔗 Find Nuggt on GitHub (We are looking for collaborators): https://github.com/Nuggt-dev/Nuggt 🌟 Join the Nuggt Discord Server: https://discord.gg/gzdCDM84 💡 Follow our 30 Days 30 Tasks with Nuggt challenge on Twitter: https://twitter.com/OfficialNuggt PS: While our current implementation leverages the power of GPT-3.5, we recognise the need for cost-effective solutions without compromising functionality. Our ongoing efforts involve exploring and harnessing the potential of smaller models like Vicuna 13B, ensuring that task automation remains accessible to a wider audience.
🔗 Find Nuggt on GitHub (We are looking for collaborators): https://github.com/Nuggt-dev/Nuggt
-
[P] Automate any task with a single AI command (Open Source)
🌟 Join the Nuggt Community: Get involved, contribute, and join the discussions on our GitHub repository. We're building a vibrant community, and we'd love to have you on board!
What are some alternatives?
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
openai-cookbook - Examples and guides for using the OpenAI API
simple-proxy-for-tavern
vlite - fast vector database made in numpy
lit-gpt - Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed. [Moved to: https://github.com/Lightning-AI/litgpt]
easydiffusion - Easiest 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.
llama_index - LlamaIndex is a data framework for your LLM applications
gpt-code-ui - An open source implementation of OpenAI's ChatGPT Code interpreter
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI