Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/tjtanaa/awesome-large-action-model
Awesome Large Action Model (LAM): Models that could help gets things done.
https://github.com/tjtanaa/awesome-large-action-model
List: awesome-large-action-model
awesome-list generative-ai lam large-action-model
Last synced: 2 months ago
JSON representation
Awesome Large Action Model (LAM): Models that could help gets things done.
- Host: GitHub
- URL: https://github.com/tjtanaa/awesome-large-action-model
- Owner: tjtanaa
- License: mit
- Created: 2024-01-11T16:08:18.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-14T13:09:13.000Z (about 1 year ago)
- Last Synced: 2024-05-23T04:02:14.020Z (8 months ago)
- Topics: awesome-list, generative-ai, lam, large-action-model
- Homepage:
- Size: 10.7 KB
- Stars: 185
- Watchers: 10
- Forks: 10
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-rainmana - tjtanaa/awesome-large-action-model - Awesome Large Action Model (LAM): Models that could help gets things done. (Others)
README
# awesome-large-action-model
Large Action Model: Models that could help gets things done.# Open Source Visual Large Action Model:
1. CogAgent: A Visual Language Model for GUI Agents [Paper](https://arxiv.org/abs/2312.08914) [Github](https://github.com/THUDM/CogVLM) [Demo](http://36.103.203.44:7861/)
![image](https://github.com/tjtanaa/awesome-large-action-model/assets/29171856/8377c46d-8280-4151-bc1b-c65cb894e305)# Open Source Large Action Model:
1. Gorilla: Large Language Model Connected with Massive APIs [Project](https://gorilla.cs.berkeley.edu/blogs/4_open_functions.html) [Github](https://github.com/ShishirPatil/gorilla?tab=readme-ov-file) [Paper](https://github.com/ShishirPatil/gorilla/tree/main/openfunctions) [HF Model v1](https://huggingface.co/gorilla-llm/gorilla-openfunctions-v1)
![image](https://github.com/tjtanaa/awesome-large-action-model/assets/29171856/ea3054c9-587b-4600-a9af-06afcc1f650f)2. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs [Paper](https://arxiv.org/pdf/2307.16789.pdf) [Github](https://github.com/OpenBMB/ToolBench) [HF Model v1](https://huggingface.co/ToolBench/ToolLLaMA-2-7b-v1) [HF Model v2](https://huggingface.co/ToolBench/ToolLLaMA-2-7b-v2)
3. Empowering LLM to use Smartphone for Intelligent Task Automation [Project](https://autodroid-sys.github.io/) [Paper](https://arxiv.org/abs/2308.15272) [Github](https://github.com/MobileLLM/AutoDroid)
4. MetaTool Benchmark: Deciding Whether to Use Tools and Which to Use [Paper](https://arxiv.org/abs/2310.03128) [Github](https://github.com/HowieHwong/MetaTool?tab=readme-ov-file)
5. T-Eval: Evaluating the Tool Utilization Capability Step by Step [Project](https://open-compass.github.io/T-Eval/) [Paper](https://arxiv.org/abs/2312.14033) [Github](https://github.com/open-compass/T-Eval) [Dataset](https://huggingface.co/datasets/lovesnowbest/T-Eval) [Leaderboard](https://open-compass.github.io/T-Eval/leaderboard.html)