LMQL
A programming language for effective interaction with language models.
LMQL is a programming language designed for working with large language models (LLMs). This language makes it easier to create prompts and manage queries effectively.
Users can write structured code to communicate with LLMs while using features like nested queries and type constraints.
This functionality leads to a more efficient workflow, making it suitable for a range of users, including developers and researchers. LMQL supports various applications, from building chatbots to automating data analysis and generating personalized content.
Its modular approach allows for rapid prototyping and enhances the overall interaction with LLMs.
- Create interactive chatbots
- Automate data analysis queries
- Build educational tools for learning
- Develop LLM-powered applications
- Generate personalized content easily
- Conduct complex research experiments
- Implement conversational agents
- Enhance customer support systems
- Optimize content generation workflows
- Facilitate rapid prototyping of ideas
- User-friendly programming interface
- Supports nested queries
- Portable across multiple backends
- Enhances prompt construction
- Modular approach to LLM interaction
Generate effective AI responses with pre-made and custom prompts.
Advanced pre-training method for language models.
Enhances communication with AI by refining prompts for clarity.
Machine learning resources for building intelligent applications.
AI-powered chat client for natural conversations and knowledge management.