Meet LMQL: An Open Source Query Language for LLMs
Developed by ETH Zurich, the language explores new paradigms for LLM programming.
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In the realm of technology, large language models(LLMs) have exhibited exceptional capabilities across diverse tasks, including question answering and code generation. At its core, a LLM excels in automatically generating coherent sequences based on given inputs, relying on statistical likelihood. Leveraging this ability, users can prompt these models with language instructions or examples, enabling the execution of various downstream tasks. The advanced techniques of prompting can even facilitate interactions involving the language model, users, and external tools like calculators. However…
