

Structured Outputs with Will Kurt and Cameron Pfiffer - Weaviate Podcast #119!
18 snips Apr 9, 2025
Join Will Kurt and Cameron Pfiffer, co-founders of .txt.ai, as they unveil the groundbreaking open-source library, Outlines. They discuss how constrained decoding enhances reliability in language model outputs, enabling capabilities like perfect JSON generation and guided reasoning. The duo shares insights on multitask inference, which boosts efficiency in AI systems, and the role of finite state machines in their innovations. Delve into practical applications, including knowledge graph creation and automated report generation, shaping the future of AI.
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Will Kurt's Journey to .txt.ai
- Will Kurt discovered a structured generation paper by Remy and Brandon.
- Impressed by its novelty, he later joined their company, .txt.ai, as a founding engineer.
Cameron Pfeiffer's Path to .txt.ai
- Cameron Pfeiffer knew Remy from the probabilistic programming community.
- After seeing a job posting and a nudge from Remy, Cameron joined .txt.ai.
New Applications of Structured Outputs
- Structured outputs enable new applications like knowledge graph construction and data extraction.
- These were previously difficult due to LLMs' unpredictable output formats.