EasyLM
camel
| EasyLM | camel | |
|---|---|---|
| 8 | 5 | |
| 2,247 | 4,504 | |
| - | 4.5% | |
| 7.7 | 8.9 | |
| 4 months ago | 2 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
EasyLM
- Maxtext: A simple, performant and scalable Jax LLM
- How To Fine-Tune LLaMA, OpenLLaMA, And XGen, With JAX On A GPU Or A TPU
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Open-sourced LLMs are adept at mimicking ChatGPT’s style but not its factuality. There exists a substantial capabilities gap, which requires better base LM.
Title: The False Promise of Imitating Proprietary LLLs Authors: Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song Word Count: 3400 Average Reading Time: 18-20 minutes Source Code: https://github.com/young-geng/EasyLM Additional Links: https://huggingface.co/young-geng/koala-eval, https://huggingface.co/young-geng/koala
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Paid dev gig: develop a basic LLM PEFT finetuning utility
Check out easyLM https://github.com/young-geng/EasyLM
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OpenLLaMA Releases 7B/3B Checkpoints with 700B/600B Tokens
We release the weights in two formats: an EasyLM format to be use with our EasyLM framework, and a PyTorch format to be used with the Hugging Face transformers library.
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OpenLLaMA: An Open Reproduction of LLaMA
I am quite new to this, I would like to get it running. Would the process roughly be:
1. Get a machine with decent GPU, probably rent cloud GPU.
2. On that machine download the weights/model/vocab files from https://huggingface.co/openlm-research/open_llama_7b_preview...
3. Install Anaconda. Clone https://github.com/young-geng/EasyLM/.
4. Install EasyLM:
conda env create -f scripts/gpu_environment.yml - Koala: A Dialogue Model for Academic Research [Finetuned Llama-13B on a dataset generated by ChatGPT]
camel
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Auto-GPT seems nearly unusable
Look into the following: https://github.com/lightaime/camel
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Hmmmm.... perhaps there's a leap forward here
Anyway - have a look at the demos on https://www.camel-ai.org/. It absolutely blew me away. I gave it a task to make a lemonade game in python. It...just did it.
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AI — weekly megathread!
CAMEL (Communicative Agents for “Mind” Exploration of LLM Society) - AI agents interacting with each other and collaborating. For e.g., two ChatGPT agents playing roles as a python programmer and a stock trader collaborating on developing a trading bot for stock market. [ Colab of the demo | Project website]
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6-Apr-2023
CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society (https://github.com/lightaime/camel)
What are some alternatives?
mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
multi_agent_path_planning - Python implementation of a bunch of multi-robot path-planning algorithms.
Open-Llama - The complete training code of the open-source high-performance Llama model, including the full process from pre-training to RLHF.
langchainjs - 🦜🔗 Build context-aware reasoning applications 🦜🔗
brev-cli - Connect your laptop to cloud computers. Follow to stay updated about our product
dialop - DialOp: Decision-oriented dialogue environments for collaborative language agents
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
modal-examples - Examples of programs built using Modal
camel - 🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society [Moved to: https://github.com/camel-ai/camel]
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
SmartGPT - SmartGPT is a Node.js webpage implementation of a dynamic prompting system, inspired by [AI Explained](https://www.youtube.com/@ai-explained-) on YouTube. This tool generates multiple responses to a prompt and evaluates their quality.