Reflex LLM Examples
Reflex LLM Examples is a curated repository showcasing a collection of advanced AI applications built with Reflex. This repository highlights practical use cases of Large Language Models (LLMs) from various providers, including Google, Anthropic, OpenAI, and self-hosted open-source models.
Key Features:
- Diverse Applications: Explore a variety of AI applications that leverage LLMs for different use cases.
- Best Practices: Learn about best practices for building scalable AI-powered solutions.
- Community Contributions: Engage with a community of developers and contribute to the ongoing development of AI applications.
Benefits:
- Enhanced Learning: Gain insights into the implementation of LLMs in real-world scenarios.
- Collaboration: Collaborate with other developers and researchers in the field of AI.
- Open Source: Access and contribute to open-source projects that push the boundaries of AI technology.
Highlights:
- RAG Implementations: Discover Retrieval-Augmented Generation (RAG) implementations that enhance the capabilities of LLMs.
- AI Agents: Learn about various AI agents and their use cases, from chatbots to data analysis tools.