Markdown source

DSPy

Overview

DSPy is represented at AI Engineer World's Fair 2026. Its public site describes it this way: The framework for programming—rather than prompting—language models.

Background

The official speaker roster connects DSPy to Maxime Rivest. The public company site was discovered by domain-guess and fetched for homepage metadata.

Conference Relevance

DSPy matters to this wiki through 1 official speaker(s) and 1 scheduled session(s), including: The Unreasonable Effectiveness of Separating the Task from the Model.

Conference Sessions

• 2026 07 01 maxime rivest the unreasonable effectiveness of separating the task from the model - The Unreasonable Effectiveness of Separating the Task from the Model (2026-07-01, 9:40am-10:00am)

Connections

• maxime rivest - Core Contributor

Sources

• DSPy

Evidence Graph

This evidence graph summarizes how this organization appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

Linked Sessions

• The Unreasonable Effectiveness of Separating the Task from the Model

Media Signals

• youtube-I2cbIws9j10 — 91,792 transcript words; 7 slide-derived text signals
• Transcript signals for youtube-I2cbIws9j10: code, model, back, system, well, first, today, even.
• Slide-derived themes for youtube-I2cbIws9j10: context, window, selects, response, facts, retry, coerce, rollback.
• Evidence links for youtube-I2cbIws9j10: youtube I2cbIws9j10, youtube I2cbIws9j10 transcript, youtube I2cbIws9j10 slides, youtube I2cbIws9j10 dense slides

Notes

• Automated company profile fetch status: fetched.

Evidence Boundary

Official roster and schedule facts are treated as canonical for conference participation. Public company sites, documentation, and professional profiles are supporting context used to explain what the organization does and why it is relevant.