Meta's RA-DIT Boosts Language Model Output by Optimizing Content Retrieval
Retrieval-augmented generation (RAG) enables large language models to generate better output by retrieving documents that are relevant to a user’s...
From AI Experiments to AI Productsdeeplearning.ai
Zhipu’s GLM-Image Blends Transformer and Diffusion Architectures For Better Text in Imagesdeeplearning.ai
Independent AI Testing Authority Turns From Saturated Knowledge Benchmarks to Harder Business Testsdeeplearning.ai
Stanford Researchers Coin “Moloch’s Bargain,” Show Fine-Tuning Can Affect Social Valuesdeeplearning.ai
Secretary of War Pete Hegseth Calls Claude a Security Risk, Replaces It With GPT Modelsdeeplearning.ai
Data Points: The latest in AI from Mar. 21 to Mar. 27, 2024deeplearning.ai
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
Pancakes Are Delicious and Data Centers Are for Free StuffThenewstack
Transform and Future-Proof Your Architecture with MACHThenewstack
Selecting the Right Database for Your MicroservicesThenewstack
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
