Studying large language model generalization with influence functions
An EK-FAC approximation makes influence functions orders of magnitude faster on LLMs up to 52B parameters, revealing how models generalize.
Tracing the thoughts of a large language modelAnthropic
Forecasting rare language model behaviorsAnthropic
Towards measuring the representation of subjective global opinions in language modelsAnthropic
Red teaming language models to reduce harmsAnthropic
Auditing language models for hidden objectivesAnthropic
Tracing model outputs to the training dataAnthropic
Trained on 100,000+ Voices: Deepgram Unveils Next-Gen Speaker Diarization and Language DetectionDeepgram
The Language of LGBTQ Inclusion and Allyship - Deepgram Blog ⚡️Deepgram
New Spanish and Turkish Language Models and Updated General Models - Deepgram Blog ⚡️Deepgram
OData or GraphQL? The Best Tech for Developing an API Is Neither or Both!Thenewstack
Pkg.go.dev has a new look! - The Go Programming LanguageGo
Inside the Go Playground - The Go Programming LanguageGo
Real Go Projects: SmartTwitter and web.go - The Go Programming LanguageGo
The App Engine SDK and workspaces (GOPATH) - The Go Programming LanguageGo
Go on App Engine: tools, tests, and concurrency - The Go Programming LanguageGo
The Go Memory Model - The Go Programming LanguageGo
Errors are values - The Go Programming LanguageGo
Using Subtests and Sub-benchmarks - The Go Programming LanguageGo
Godoc: documenting Go code - The Go Programming LanguageGo
Go 2017 Survey Results - The Go Programming LanguageGo
