Comparisons would also help answer this question:
whether good summarization without hallucination warrants davinci-3 or not.
SAFETY
-
Summarization Quality and Hallucination in Davinci-3 Models
By
–
-
Perplexity AI shows fewer hallucinations than Surge AI
By
–
Should make for an interesting comparison task @HelloSurgeAI
. From very few tries, it seems like @perplexity_ai hallucinates less. -
AI-Generated Content Indistinguishable From Reality With Fine-Tuning
By
–
Sure but that's only cause I barely tried to give it a specific style. Now imagine this with a bit more effort, finetuned to a specific style. It'll be impossible to distinguish from real. Whether that's good or bad I'm not to judge
-
Bot Problem Illustration in Thread Discussion
By
–
Illustration of the bot problem right in this thread
-
Large language models used to write Twitter code deployment
By
–
Maybe he started using large language models to write Twitter’s code, and deployed straight to prod
-
Slim chance remains against AI takeover threat
By
–
This proves we still stand a (slim) chance against the #AI takeover
-
Humor: RLHF works because practitioners are fast
By
–
This is how RLHF works btw the people doing it are just really fast.
-
Tesla’s autonomous vehicle to launch on roads next year
By
–
This beast will finally hit the roads next year. Tesla v/ @IntEngineering #AutonomousVehicles #SelfDrivingCars #electriccars #ElectricVehicles #Automotive #5G #tesla @Ronald_vanLoon @enricomolinari @debashis_dutta @TheAdityaPatro @itsmuzza2004 @efipm @guidaautonoma
-
Opposite of Survivorship Bias: Understanding Selection Logic
By
–
Opposite of survivorship bias tho "Survivorship bias or survival bias is the logical error of concentrating on entities that passed a selection process while overlooking those that did not. This can lead to incorrect conclusions because of incomplete data."
-
Attention Required to Avoid Transformer Deception
By
–
Paying attention is all you need to not be fooled by transformers.