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Analyzing content and applying filters...
A walkthrough of building a product description generator using DSPy, Azure OpenAI, and MLflow. We'll explore how GEPA optimization works with a...
Lessons from building an AI-assisted database debugging platform. Mentions using DSPy.
Learn lightweight context engineering in Ruby. We'll incrementally build a chat agent with ephemeral memory and cost-based routing—starting from the...
This paper introduces an autonomous AI system that automates data abstraction from pathology reports for cancer registries. Key Highlights: - High...
Superagentic AI is proud to announce the DSPy Code, the comprehensive CLI to build and optimize your DSPy and GEPA code. DSPy Code is now live: an...
Found the DSPy / GEPA corner at the Anthropic booth with @tarunsachdeva and @thomastjoshi
The text introduces Feedback Descent, a framework for optimizing text-based items (like prompts, code, or molecules) using detailed, structured...
In this walkthrough I break down the SPLASH 2024 paper on meaning-typed programming and show how its type-driven approach can remove a ton of brittle...
Let your AI use tools to answer questions - the ReAct (Reasoning + Acting) pattern in ax-llm, DSPy
Join us for an evening of talks, discussion, and connection at the Bay Area DSPy Meet Up! We've got an incredible lineup of speakers: Lakshya...
Researchers introduce SAVANT, a structured reasoning framework that enhances anomaly detection in driving scenes using vision-language models (VLMs)....
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI),...
A modular, production-ready example of using GEPA (Generative Evolutionary Prompt Adaptation) to optimize prompts in DSPy.
This notebook will illustrate how to create an AI system with DSPy that uses Parallel's Chat with the Web API and Weaviate's Query Agent.
The following content is not an introduction to DSPy, nor is it a tutorial to learn how to use DSPy. I believe this topic has already been well...
Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions. |...
AI agents need far more than simple vector search—they require rich, flexible context and the ability to run filtered, analytical, and multimodal...
A little dated by still relevant. In this episode, Ben Lorica and Drew Breunig, a strategist at the Overture Maps Foundation, talk all things...
In e-commerce, matching user queries to relevant products is crucial for driving purchases, but current methods that rely on Large Language Models...
A lot of DSPy content is crawled compared to what is curated, now you can search it at https://dspyweekly.com/search/ . A new section for Companies...