AI Learn Hub
AI Learn Hub
300

Level 300: Builder

Building complete AI solutions and understanding architecture

Focus: Complete AI system development

36 resources
3 categories
5 resource types

repo Resources(5)

Oap Agent Supervisor
L300May 6
repoFrameworks & Platforms
Oap Agent Supervisor
This repository provides a supervisor agent for the Open Agent Platform, enabling dynamic agent delegation and configurable agents for orchestrating specialist agents. It leverages LangGraph Supervisor and RemoteGraph for agent orchestration.
Open Agent Platform
L300Apr 16
repoApplications & Impact
Open Agent Platform
Open Agent Platform is an educational platform for building and managing no-code agents with advanced features like RAG integration and agent supervision. It provides a user-friendly interface for creating and interacting with LangGraph agents, making it suitable for users without technical expertise as well as developers.
Open Deep Research
L300Nov 20, 2024
repoApplications & Impact
Open Deep Research
Open Deep Research is an open-source deep research agent that works across various model providers, search tools, and servers. It has achieved notable performance and rankings on the Deep Research Bench Leaderboard. The repository offers a free course and updates on recent advancements in deep research.
Langfuse
L300May 18, 2023
repoApplications & Impact
Langfuse
langfuse is an open-source LLM engineering platform that focuses on LLM observability, metrics, evaluations, prompt management, playgrounds, and datasets. It integrates with various technologies like OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. The repository is suitable for individuals interested in exploring large language models and observability in AI systems.
Chainforge
L300Mar 26, 2023
repoApplications & Impact
Chainforge
ChainForge is an open-source visual programming environment designed for battle-testing prompts to Large Language Models (LLMs). It enables users to query multiple LLMs simultaneously, compare response quality across different prompts and models, set up evaluation metrics, and streamline the prompt engineering process using AI features.

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