Context Engineering — A Comprehensive Hands-On Tutorial with DSPy
You may have heard about Context Engineering by now. This article will cover the key ideas behind creating LLM applications using Context Engineering...
Please wait while we find the best results for you.
Analyzing content and applying filters...
You may have heard about Context Engineering by now. This article will cover the key ideas behind creating LLM applications using Context Engineering...
As Automatic Speech Recognition (ASR) is increasingly deployed in clinical dialogue, standard evaluations still rely heavily on Word Error Rate...
Traditional ontologies describe domain structure but cannot generate novel artifacts. Large language models generate fluently but produce outputs...
A good code snippet driven style to teach DSPy.
RVAA: Recursive Vision-Action Agent for Long Video Understanding. Implementation of the RLM paradigm (Zhang, Kraska, Khattab 2025)
GEPA prompt optimization for Vercel's AI SDK. dead simple, DSPy-inspired API, and still feels native to AI SDK.
One line mention of GEPA and DSPy in the podcast.
The Meta-Prompting Protocol (MPP) replaces static prompting with an "Adversarial Trinity" (Generator, Auditor, Optimizer) that creates dynamic...
It demonstrates how DSPy automatically translates a Python class (defined with input/output fields and a docstring) into a structured system prompt...
All hail nano banana. DSPy basics cheatsheet.
ASR errors in clinical dialogue can be dangerous, and WER doesn’t know it. Today we release “WER is Unaware”.
This paper challenges the reliability of current benchmarks like HELM, arguing that their reliance on fixed prompts systematically underestimates...
Not kidding. "I DSPy optimised all night but my pickle files were empty". I have seen it all now.
The article argues that the primary power of LLMs in business automation is their ability to solve the main bottleneck: converting "fuzzy,"...
This culminates in the ColBERT paradigm for neural IR and in the DSPy framework for natural language programming. We demonstrate through these...
The new BAML adapter (which subclasses the existing JSON adapter) avoids using JSON schema for formatting the data model in the prompt. Instead, it...
This Databricks blog post discusses building cost-effective, enterprise-grade AI agents using automated prompt optimization - GEPA, MIPROv2, SIMBA...