Paper: SHIELD: Classifier-Guided Prompting for Robust and Safer LVLMs
SHIELD, a lightweight safety guardrail that integrates a fine-grained taxonomy of harmful content with tailored policies and rule-based...
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SHIELD, a lightweight safety guardrail that integrates a fine-grained taxonomy of harmful content with tailored policies and rule-based...
Ryan Carson on X: "Made a quick video for y'all on how I'm using @DSPyOSS (via the Typescript port created by @dosco) to programmatically manage and...
Good short youtube reel convincing why one should use DSPy.
Simon talking about Drew Breuing's talk on DSPy that helped him ( and many others I assure you ) to understand DSPy.
The articles presents that the biggest limitation of today’s large language models (LLMs) isn’t raw intelligence — it’s context management: current...
In this talk, we discuss Recursive Language Models (RLMs)—a new approach to addressing context overload and performance degradation in large language...
DSPy boosted GPT-3.5 Accuracy by 19.5%.
We introduced Prompt Learning on July 18, 2025 — an approach that builds simple feedback loops for optimizing LLM applications. A week later, DSPy...
Josh Clemm, VP of Engineering at Dropbox, details the technical architecture behind Dropbox Dash, a universal search tool designed to navigate...
Another simple explanation of How RLMs actually work and what problems do they solve?.
AlphaXiv organised online event where Alex Zhang the author of the paper would be talking about RLM.
AI engineer and educator Mike Taylor explains DSPy in a clear, approachable style, showing how its modular structure, portable programs, and built-in...
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...
DSPy Signature to break multi-part questions into atomic, self-contained sub-queries, plus classifies them. Code Snippet.
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...