Unlike traditional code which is deterministic and rule-based, AI systems operate as black boxes where developers cannot see or understand the internal workings, making it challenging to evaluate whether they will produce correct results; this necessitates new evaluation approaches that focus on the system's surface behavior rather than internal code.
Approfondir
Prérequis
- Pas de données disponibles.
Prochaines étapes
- Pas de données disponibles.
Approfondir
The Challenge of Evaluating "Black Box" AI Systems #machinelearning #llm #genaiAjouté :
The issue here is how do we know what we are building will work correctly. Is it going to produce the right results? So, that's why we started building what we call the GenAI evaluation platform because earlier with code it was deterministic, more rule-based. You know what the code did or at least most of the time. And then you wrote these unit tests around the code to make sure it worked the way it did.
But then with AI, it's a black box to us as well, right? We don't know how it's working underneath. We are not the owners of the code inside it. So, we have to figure out another way to kind of evaluate the surface.
Vidéos Similaires
OpenHuman VS Hermes AI: Who Wins?
JulianGoldieSEO
285 views•2026-05-29
BREAKING: Microsoft’s New Image Generating Model Beat Out GPT 1.5 and Nano Banana 2
aimmediahouse
122 views•2026-06-03
Long-Running Agents — Build an Agent That Never Forgets with Google ADK
suryakunju
142 views•2026-05-30
This computer is made from real human brain cells. And you can buy it.
Talktmsmedia
3K views•2026-05-28
I Made the Same Anime Fight Scene in Every AI Video Generator
NobleGooseAnime
295 views•2026-05-30
Nvidia Bets Big On AI PCs | New Chip To Power Windows Laptops | Technology | AI Updates | N18S
cnnnews18
3K views•2026-06-01
I Tested NEW Opus 4.8 on Four Projects (Updated LLM Leaderboard)
AICodingDaily
298 views•2026-05-29
3D Platformer Update - NO CAPES
SolarLune
294 views•2026-05-30











