Multi-label classification problems with thousands of possible classes are extremely challenging, especially when using in-context learning with large language models (LLMs). Demonstrating every possible class in the prompt is infeasible, and LLMs may lack the knowledge to precisely assign the correct labels. …
The machine learning community stands at the precipice of another significant transformation. While language model pipelines have garnered attention, the introduction of DSPy promises to reshape the landscape. Let's dive into this groundbreaking paper and its implications. …