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reflex-llm-examples

A curated repository of AI Apps built with Reflex, showcasing practical use cases of Large Language Models (LLMs).

Introduction

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.

Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/28

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