DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines

We're excited to welcome Omar Khattab, the author of the ColBERT family of retrieval models. Omar is going to We introduce DSPy, a programming model that streamlines the development of language model (LM) pipelines. Unlike traditional hard-coded prompt templates, DSPy uses text transformation graphs to invoke LMs through declarative, parameterized modules. These modules can learn optimized combinations of prompting, finetuning, augmentation, and reasoning. A specialized compiler optimizes DSPy pipelines for given metrics. Case studies show that DSPy quickly generates and finetunes pipelines that surpass both few-shot prompting and expert setups for GPT-3.5 and Llama2-13b-chat. Twitter: https://x.com/lateinteraction?s=20 *** MLOps Discord community:   / discord