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Creative—Critical—Constructive —Collaborative—Computational: Towards a C5 model in Creative AI
d37zoqglehb9o7.cloudfront.netTurn your computer into an AI computer - Jan
jan.ai

Self-Operating Computer Framework
A framework to enable multimodal models to operate a computer.
Using the same inputs and outputs of a human operator, the model views the screen and decides on a series of mouse and keyboard actions to reach an objective.
Key Features
A framework to enable multimodal models to operate a computer.
Using the same inputs and outputs of a human operator, the model views the screen and decides on a series of mouse and keyboard actions to reach an objective.
Key Features
- Compatibility : Designed for various multimodal models.
- Integration : Currently
OthersideAI • GitHub - OthersideAI/self-operating-computer: A framework to enable multimodal models to operate a computer.
ChatGPT allows you to automate tedious thoughts. Whenever you are mildly curious about a question or annoyed at not having a piece of information, you can delegate that labor to ChatGPT.
🤖 Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
- Why CrewAI
- Getting Started
- Key Features
- Examples
- Local Open Source Models
- CrewAI x AutoGen x ChatDev
- Contribution
- 💬 CrewAI Discord Community
- Hire Consulting
- Licen
joaomdmoura • GitHub - joaomdmoura/crewAI: Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
AI Studio Handbook - Meta AI
ai.meta.commultimodal-maestro
👋 hello
Multimodal-Maestro gives you more control over large multimodal models to get the outputs you want. With more effective prompting tactics, you can get multimodal models to do tasks you didn't know (or think!) were possible. Curious how it works? Try our HF space!
👋 hello
Multimodal-Maestro gives you more control over large multimodal models to get the outputs you want. With more effective prompting tactics, you can get multimodal models to do tasks you didn't know (or think!) were possible. Curious how it works? Try our HF space!
roboflow • GitHub - roboflow/multimodal-maestro: Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥
By powerful AI, I have in mind an AI model—likely similar to today’s LLM’s in form, though it might be based on a different architecture, might involve several interacting models, and might be trained differently—with the following properties:
In terms of pure intelligence4, it is smarter than a Nobel Prize winner across most relevant fields – biolo