Lmql

LMQL is a query language that has been specifically designed for large language models (LLMs). Its purpose is to enhance the interaction with LLMs by combining natural language prompts with the flexibility of Python. This tool offers a range of features including constraints, debugging, retrieval, control flow, and support for Transformers. These features make it easier to prompt responses from LLMs. LMQL also provides a wide variety of pre-built prompts for different tasks such as generating a packing list, telling a joke, searching Wikipedia, and chatting with a bot. Additionally, users can programmatically control the generation process using regular Python control flow statements. The tool automatically generates the required tokens and validates the produced sequence as soon as the provided validation condition is definitively violated. LMQL also allows the use of arbitrary Python code in the prompt clause, enabling dynamic prompts and text processing. The Scripted Beam Search feature explores multiple possible answers by decoding the expert name and answer jointly. Furthermore, LMQL supports Python's assert to check the correctness of the generated output, which is particularly useful for evaluating data sets. Overall, LMQL is a powerful tool that simplifies the interaction with LLMs and enhances the efficiency of Python developers when working with natural language prompts.