Research
Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning
Large Language Models (LLMs) have been adopted and deployed worldwide for a broad variety of applications.
ResearchScalable Data Ablation Approximations for Language Models through Modular Training and MergingCohere
ResearchSimMerge: Learning to Select Merge Operators from Similarity SignalsCohere
ResearchMetadata Archaeology: Unearthing Data Subsets by Leveraging Training DynamicsCohere
ResearchInvestigating Continual Pretraining in Large Language Models: Insights and ImplicationsCohere
ResearchBridging the Data Provenance Gap Across Text, Speech, and VideoCohere
ResearchLifting the Veil on Hyper-parameters for Value-based Deep Reinforcement LearningCohere
EventsCloud Security Trends & Challenges: Complete GuideCybersecurity Exchange
Blogs10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify
BlogsState of Speech: Our New Data Report Reveals ASR’s Untapped Potential - Deepgram Blog ⚡️Deepgram
LearnBuild a Presentation Coaching Application with Recall - Deepgram Blog ⚡️Deepgram
BlogsThe Most Important Work in AI Training Is Also the Most Overlooked - Deepgram Blog ⚡️Deepgram
BlogsNew Spanish and Turkish Language Models and Updated General Models - Deepgram Blog ⚡️Deepgram
BlogsData Ingestion: 6 Ways to Speed Up Your ApplicationRedis
BlogsAI frameworks: Definition, types, and how to chooseZapier
Blogs5 ways to automate Browse AIZapier
BlogsHow to connect Google Sheets to NotionZapier
NewsPancakes Are Delicious and Data Centers Are for Free StuffThenewstack
NewsExplore and Visualize Data the Apache Superset WayThenewstack
NewsLessons Swift Designer Chris Lattner Has Learned about LeadershipThenewstack
BlogsDiscovered Stacks: One Place for All Your InfrastructurePulumi
