Applied research

We tested over 500 prompt variations across two datasets to see how to improve LLM intent classification.

Benchmarking hybrid LLM classification systems: a deep dive into hallucinations, accuracy, costs, latencies, usability and context window analysis.

Do versions change your performance by 1% or 10%? Let’s dive into a production-impacting LLM task and how model versions impacts agent performance.

A case study on opinionated decisions when launching products, balancing speed to build, accuracy and speed to iterate.

How Large Action Models will change the way we build chatbots, again: applied research on Large Action Models and the way chatbots get built.

We started working on the Voiceflow NLU in February 2022, and this is a small slice of our story: the applied research behind creating the Voiceflow NLU.

Learn the basics of NLU models and how teams are training/using them for conversational AI experiences.