Introduction
- DemoGPT leverages the power of Language Models (LLMs) to provide fast and effective demo creation for applications.
- Automates the prototyping process, making it more efficient and saving valuable time.
- Understands and processes the given prompts to generate relevant applications.
- Integrated with LangChain for generating application code through iterative parsing of LangChain's documentation with a 'Tree of Transformations' (ToT) approach.
- The roadmap for DemoGPT includes constant updates and improvements based on user feedback and real-world application, working towards refining the technology and solving the hallucination problem.
- 'We are planning to introduce features that will further enhance the application generation process, making it more user-friendly and efficient.'
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