Emergent Abilities of Large Language Models
Emergence can be defined as the sudden appearance of novel behavior. Large Language Models apparently display emergence by suddenly gaining new abilities as they grow.
Review - ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsAssemblyai
Review - data2vec: A General Framework for Self-supervised Learning in Speech, Vision, and LanguageAssemblyai
Review - SimCLS and RefSum - Summarization TechniquesAssemblyai
Redact PII in Audio with Make and AssemblyAIAssemblyai
Review - Pretraining Representations for Data-Efficient Reinforcement LearningAssemblyai
Review - VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised LearningAssemblyai
10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify
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
AI frameworks: Definition, types, and how to chooseZapier
OData or GraphQL? The Best Tech for Developing an API Is Neither or Both!Thenewstack
Discovered Stacks: One Place for All Your InfrastructurePulumi
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
