
technologyMay 31, 202349:43pending
Controlled and compliant AI applications (Practical AI #225)
About this episode
You can’t build robust systems with inconsistent, unstructured text output from LLMs. Moreover, LLM integrations scare corporate lawyers, finance departments, and security professionals due to hallucinations, cost, lack of compliance (e.g., HIPAA), leaked IP/PII, and “injection” vulnerabilities.
In this episode, Chris interviews Daniel about his new company called Prediction Guard, which addresses these issues. They discuss some practical methodologies for getting consistent, structured output from compliant AI systems. These systems, driven by open access models and various kinds of LLM wrappers, can help you delight customers AND navigate the increasing restrictions on "GPT" models.
Get every episode summarized
Each time Changelog Master Feed publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Changelog Master Feed

Forking Cal.com to closed source (Changelog Interviews #685)
Changelog Master Feed
Sep 3, 20261:54:32pending

Postgres at PlanetScale (Changelog Interviews #684)
Changelog Master Feed
Aug 25, 20261:42:17pending

Canary tokens and digital tripwires (Changelog Interviews #683)
Changelog Master Feed
Jul 21, 20262:06:48pending

From open source hits to OpenAI (Changelog Interviews #682)
Changelog Master Feed
Jun 5, 20261:46:28pending