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By Chris Potts (Stanford Professor ) Event: Bay Area DSPy Meetup (Nov 18, 2025) ... We wouldn't dream of manually setting the weights of a neural...
How Danny used DSPy to give AI taste: 00:47:52
With this update, it has now fully evolved into a harness that seamlessly plugs into existing multi turn Agent environments. ( @aisdk based agents...
ACE (Agentic Context Engineering) is a framework for improving LLM applications by treating context as an evolving playbook, refined through...
Agents are becoming more capable but slower: while simple chatbots respond in about two seconds, agents that perform tasks like web search, database...
Announcing DSCloj! A declarative way to do prompt engineering in Clojure. It is inspired by DSPy library in Python. In it’s current shape API looks...
Lee Butterman’s recent experiment, "DSPy on a Pi," demonstrates that sophisticated prompt optimization is achievable on low-cost edge hardware like a...
The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨ | Language: TypeScript | License: Other
DSPy: The framework for programming—not prompting—language models | Language: Python | License: MIT License
This blog post is a technical walkthrough of how we improved the coding agents used in the AI data scientist. With the actual data, and evaluation...
DSPy quick review in Chinese. 隨著模型性能提升， Prompt Engineering 的重要性不如數年前那麼顯著。 今年一個非常受歡迎的項目 DSPy 提出了一個革新性的概念：「Programming—not prompting」，主張讓程式自動生成...
A cool thread yesterday used GPT4 ($50), a 500-word ReAct prompt, and ~400 lines of code to finetune Llama2-7B to get 26% HotPotQA EM. Let's use 30...
lru_cache cache decorator applied to ensure faster throughput and stopping needless regeneration.
Added ability to use a seperate prompt_model to use to evolve the program.
The pretty much "official" DSPy framework for Typescript | Language: TypeScript | License: Apache License 2.0
Token-Oriented Object Notation keeps your nested Sorbet structs intact—something flat CSV rows simply can’t do when you prompt large language models....
Modaic is the platform for DSOps: DevOps for DSPy programs. We’re building the infrastructure for software 3.0, where agents autonomously improve...
Adding Memory, Production UI, and Multi-Step Reasoning How we evolved from a stateless prototype to a production-ready intelligence system with...
This tutorial demonstrates how to use MLflow to track and analyze your DSPy optimization process. MLflow's built-in integration for DSPy provides...