LMOps
automata
| LMOps | automata | |
|---|---|---|
| 6 | 7 | |
| 3,186 | 550 | |
| 2.7% | - | |
| 8.1 | 9.5 | |
| 14 days ago | 8 months ago | |
| Python | Python | |
| 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.
LMOps
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Has anyone found a way to use Microsoft's Promptist in Stable Diffusion?
Microsoft released an open-sourced prompt optimizer. Has anyone used https://github.com/microsoft/LMOps for prompt optimization? They have it in this demo: https://huggingface.co/spaces/microsoft/Promptist, I'm not sure how to use it for 1.5.
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🚀 Microsoft Open Source LMOps: An AI Prompt Optimization Toolkit For Generative AI Models
Quick Read: https://www.marktechpost.com/2023/02/14/microsoft-open-source-lmops-an-ai-prompt-optimization-toolkit-for-generative-ai-models/ Paper: https://arxiv.org/pdf/2212.09611.pdf Github: https://github.com/microsoft/LMOps
- General technology for enabling AI capabilities with LLMs and Generative models
- microsoft/LMOps: General technology for enabling AI capabilities w/ LLMs and Generative AI models
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Microsoft Promptist : Optimising Stable Diffusion prompts via a language model fine-tuned with reinforcement learning
Project Page : https://github.com/microsoft/LMOps/tree/main/promptist
automata
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Self-Coding is imminent with OpenAI's new function calling
I have been worried about how much fine-tuning for function calls has lobotomized the models. That being said, I find that it an still author good code, even with fn calls. You can see a sample output here - https://github.com/emrgnt-cmplxty/Automata/issues/72
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Self-Coding is imminent w/ OpenAI's new function calling
I wanted to share a new demo since the new feature model resulted in a big boost to the model programming ability and robustness. Please enjoy the demo, and if you are interested in contributing to the project please check out the repository here.
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Is anyone getting good results? Am I using this wrong?
This is a hard problem that's going to take a lot of work to crack. I'm working on something similar here and I can confirm it will be a long while before we see useful fully autonomous work.
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Automata - A Bottom-Up version of AutoGPT
When I wrote the action extractor there wasn't a fine-tuned approach to function handling, I'm really glad there is now. Here is a Github issue if anyone wants to try to tackle this.
This morning I just open sourced a big project I've been working on - https://github.com/emrgnt-cmplxty/Automata
What are some alternatives?
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
RasaGPT - 💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram
langchain - 🦜🔗 Build context-aware reasoning applications
yaaamagi - Yet Another Attempt At Making Artificial General Intelligence (with GPT-4)
Awesome-Efficient-LLM - A curated list for Efficient Large Language Models
agents - An Open-source Framework for Autonomous Language Agents
lora-instruct - Finetune Falcon, LLaMA, MPT, and RedPajama on consumer hardware using PEFT LoRA
LLMChat - A Discord chatbot that supports popular LLMs for text generation and ultra-realistic voices for voice chat.
CUPCAKEAGI - 🧁👋 Welcome to CupcakeAGI, where we bake up some sweet and creamy AGI goodness! 🍰🤖
ACE_Model_Implementation - A python implementation of Dave Shap's ACE Model
ImageNet21K - Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
AutoLearn-GPT - ChatGPT learns automatically.