dspy

Optimizing Databricks LLM Pipelines with DSPy

Optimizing Databricks LLM Pipelines with DSPy

If you’ve been following the world of industry-grade LLM technology for the last year, you’ve likely observed a plethora of frameworks and tools in production. Startups are building everything from Retrieval-Augmented Generation (RAG) automation to custom fine-tuning services. Langchain is perhaps the most famous of all these new frameworks, enabling easy prototypes for chained language model components since Spring 2023. However, a recent, significant development has come not from a startup, but from the world of academia. In October 2023, researchers working in Databricks co-founder Matei Zaharia’s Stanford research lab released DSPy, a library for compiling declarative language model calls into…
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The Shift from Models to Compound AI Systems

The Shift from Models to Compound AI Systems

AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed to perform general tasks, such as translation or coding, just by prompting. This naturally led to an intense focus on models as the primary ingredient in AI application development, with everyone wondering what capabilities new LLMs will bring. As more developers begin to build using LLMs, however, we believe that this focus is rapidly changing: state-of-the-art AI results are increasingly obtained by compound systems with multiple components, not just monolithic models. For example, Google’s AlphaCode 2 set state-of-the-art results in programming through a carefully engineered…
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