Lmql

Natural language querying for large models.

LMQL is a query language designed specifically for large language models (LLMs). It enables users to interact with LLMs by combining natural language prompts with the expressiveness of Python. LMQL provides various features such as constraints, debugging, retrieval, control flow, and 🤗 Transformers support which makes it easier to communicate with the LLM. Pre-built prompts can be used to tell jokes, generate packing lists, search Wikipedia or chat with a bot. The tool validates the generated sequence when the given validation condition is violated and supports arbitrary Python code in its prompt clause for dynamic prompts and text processing. Additionally, LMQL includes Scripted Beam Search which decodes both the expert name and answer simultaneously exploring multiple possible answers. Lastly, Python's assert feature allows users to check whether the model produces correct output. In summary, LMQL simplifies interacting with LLMs and makes it more efficient for Python developers to work with natural language prompts.

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