CEBRA
open-llms
| CEBRA | open-llms | |
|---|---|---|
| 5 | 22 | |
| 844 | 10,244 | |
| 2.4% | - | |
| 7.7 | 6.9 | |
| about 1 month ago | 7 days ago | |
| Python | ||
| GNU General Public License v3.0 or later | 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.
CEBRA
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What are the best AI tools you've ACTUALLY used?
Cebra AI: An AI-powered customer service platform.
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GPT-4 Week 7. Government oversight, Strikes, Education, Layoffs & Big tech are moving - Nofil's Weekly Breakdown
Cebra - Researchers were able to reconstruct what a mouse is looking at by scanning its brain activity. The details of this are wild, they even genetically engineered mice to make it easier to view the neurons firing [Link]
- Learnable latent embeddings for joint behavioural and neural analysis
open-llms
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7 SAAS ideas 💡 you can steal
Everyone knows about ChatGPT by now, but did you know there are other models like "Mistral" or "Falcon" - you can view a full list of open-source models here or on huggingface.
- eugeneyan/open-llms
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GPT-4 API general availability
This is the most well-maintained list of commercially usable open LLMs: https://github.com/eugeneyan/open-llms
MPT, OpenLLaMA, and Falcon are probably the most generally useful.
For code, Replit Code (specifically replit-code-instruct-glaive) and StarCoder (WizardCoder-15B) are the current top open models and both can be used commercially.
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Local LLMs: After Novelty Wanes
There's also MPT, which has a 7B, and Falcon, with a 7B and 40B although they have not had the inference tuning in community projects that the llamas have had. This is a good repo for reviewing what's available atm: https://github.com/eugeneyan/open-llms
- How to keep track of all the LLMs out there?
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How do I learn AI/Machine Learning?
If I was going to do the same I would at least build off of something, check out https://github.com/eugeneyan/open-llms, you should at least have a decent understanding of artificial neural networks (ANNs) and this link is pretty good on the basic concepts you need inc classification and learning types, good luck friend.
- LLM and privacy
- Local LLM to learn, explore and use for commercial purpose
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Best instruct model recommendations to use with T4?
This list might help: https://github.com/eugeneyan/open-llms
- [D] What is the best open source LLM so far?
What are some alternatives?
chatGPTBox - Integrating ChatGPT into your browser deeply, everything you need is here
SillyTavern - LLM Frontend for Power Users.
AgentGPT - 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
SillyTavern-Extras - Extensions API for SillyTavern.
babyagi-ui - BabyAGI UI is designed to make it easier to run and develop with babyagi in a web app, like a ChatGPT.
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
quaterion - Blazing fast framework for fine-tuning similarity learning models
llm-jeopardy - Automated prompting and scoring framework to evaluate LLMs using updated human knowledge prompts
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
azure-search-openai-demo - A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
lightly - A python library for self-supervised learning on images.
panml - PanML is a high level generative AI/ML development and analysis library designed for ease of use and fast experimentation.