Work in Progress
Welcome to Ecosystem, a cutting-edge repository focused on building next-generation agentic frameworks, fine-tuners, knowledge graphs, evaluation systems, and RL-based feedback mechanisms. This repository is a work in progress and serves as an evolving hub for advanced AI-driven autonomous agents and frameworks.
- Modular and scalable agent architectures
- Multi-agent collaboration and coordination mechanisms
- Autonomous decision-making capabilities
- Specialized AI agents for analytical, operational, and strategic tasks
- Customizable cognitive abilities using reinforcement learning and fine-tuning
- Context-aware and domain-specific adaptations
- Custom fine-tuning pipelines for domain adaptation
- Parameter-efficient tuning techniques (LoRA, QLoRA, adapters)
- Evaluation and benchmarking of fine-tuned models
- Context-aware structured knowledge representation
- Graph-based reasoning for enhanced decision-making
- Lazy-loading mechanisms for scalable retrieval
- Automated test case generation for agent performance assessment
- Multi-metric evaluation framework for benchmarking
- Human-in-the-loop feedback integration
- Reinforcement learning from human feedback (RLHF) implementations
- Automated feedback loops for agent optimization
- Adaptive learning strategies for self-improvement
- A complete set of tools, frameworks, and utilities to support LLM-based application development
- Seamless integration with agentic workflows and fine-tuning processes
- Scalable infrastructure for deploying and managing LLM applications
This repository is under development. Installation instructions will be provided as components stabilize.
- Establish a robust agentic framework
- Implement agent fine-tuning pipelines
- Integrate graph-based contextual retrieval
- Develop an interactive evaluation system
- Optimize RL-based feedback mechanisms
- Open-source initial prototypes and use cases
We welcome contributions from the community. If you're interested in collaborating, please open an issue or submit a pull request.
TBD (To be decided)
Follow this repository for regular updates on progress and new features.
Feel free to ⭐ this repo and join us in pushing the boundaries of intelligent agentic systems!