Blogs
Variable Sequence Length Training for Long-Context Large Language Models - Cerebras
We show it is possible to accelerate the training for large language models with long context capabilities using a simple staged training method.
BlogsWhy Cyber Defense Needs Faster InferenceCerebras
BlogsAnnouncing Cerebras Cloud @ Cirrascale, Democratizing High-Performance AI Compute - CerebrasCerebras
NewsThe Programming Language Mathematica Marks a MilestoneThenewstack
NewsMulticloud Paves the Way for Cloud Native Resiliency ModelsThenewstack
BlogsRobust generic functions on slices - The Go Programming LanguageGo
BlogsA Proposal for Package Versioning in Go - The Go Programming LanguageGo
BlogsContributors Summit 2019 - The Go Programming LanguageGo
BlogsGo Protobuf: The new Opaque API - The Go Programming LanguageGo
LearnTutorial: Getting started with multi-module workspaces - The Go Programming LanguageGo
BlogsWhen To Use Generics - The Go Programming LanguageGo
ResourcesGo Wiki: Compiler And Runtime Optimizations - The Go Programming LanguageGo
ResourcesGo Wiki: Go Code Review Comments - The Go Programming LanguageGo
BlogsMigrating to Go Modules - The Go Programming LanguageGo
BlogsArrays, slices (and strings): The mechanics of 'append' - The Go Programming LanguageGo
ResourcesGo Wiki: InstallTroubleshooting - The Go Programming LanguageGo
BlogsKeeping Your Modules Compatible - The Go Programming LanguageGo
