8000 GitHub - Subhagatoadak/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.
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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.

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Subhagatoadak/Ecosystem

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🚀 Ecosystem

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.

📌 Features

🔹 Agentic Frameworks

  • Modular and scalable agent architectures
  • Multi-agent collaboration and coordination mechanisms
  • Autonomous decision-making capabilities

🔹 Innovative Agents

  • Specialized AI agents for analytical, operational, and strategic tasks
  • Customizable cognitive abilities using reinforcement learning and fine-tuning
  • Context-aware and domain-specific adaptations

🔹 Fine-Tuners

  • Custom fine-tuning pipelines for domain adaptation
  • Parameter-efficient tuning techniques (LoRA, QLoRA, adapters)
  • Evaluation and benchmarking of fine-tuned models

🔹 Knowledge Graphs

  • Context-aware structured knowledge representation
  • Graph-based reasoning for enhanced decision-making
  • Lazy-loading mechanisms for scalable retrieval

🔹 Evaluation System

  • Automated test case generation for agent performance assessment
  • Multi-metric evaluation framework for benchmarking
  • Human-in-the-loop feedback integration

🔹 RL-based Feedback Mechanisms

  • Reinforcement learning from human feedback (RLHF) implementations
  • Automated feedback loops for agent optimization
  • Adaptive learning strategies for self-improvement

🔹 Ecosystem for LLM Application Development

  • 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

🛠️ Installation & Setup

This repository is under development. Installation instructions will be provided as components stabilize.

📅 Roadmap

  • 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

🤝 Contribution

We welcome contributions from the community. If you're interested in collaborating, please open an issue or submit a pull request.

📜 License

TBD (To be decided)

📢 Stay Updated

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!

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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.

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