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Tools Fail: Detecting Silent Errors in Faulty Tools

Cohere

Tools have become a mainstay of LLMs, allowing them to retrieve knowledge not in their weights, to perform tasks on the web, and even to control robots.

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Research Cohere

ResearchPolicy Primer - Efficient AICohere ResearchUnderstanding and Mitigating Language Confusion in LLMsCohere ResearchFAIR-Ensemble: When Fairness Naturally Emerges From Deep EnsemblingCohere ResearchMetadata Archaeology: Unearthing Data Subsets by Leveraging Training DynamicsCohere ResearchContrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashionCohere ResearchExploring Low Rank Training of Deep Neural NetworksCohere Blogs10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify NewsIntroducing CORPS: The 5 Pillars for a Robust Cloud Architecture FrameworkThenewstack BlogsPulumi Neo Now Supports AGENTS.mdPulumi BlogsGo on App Engine: tools, tests, and concurrency - The Go Programming LanguageGo BlogsErrors are values - The Go Programming LanguageGo BlogsUnpacking sandbox startup latency: why started ≠ readyModal BlogsHow AI Assistants Can Decode GitHub Repos for UI WritersDocker Blogs15 Best Submagic Alternatives & Competitors 2026Heygen BlogsLinkedIn Ad Personalization InnovationHeygen BlogsInstagram Video Resizing GuideHeygen BlogsMulti Face Swap Video: How to Swap Multiple Faces in a Single Video with AIHeygen Blogs10 Best AI Video Tools for Sales Prospecting (2026)Heygen BlogsHow To Create and Use Avatars in eLearningHeygen Blogs20 Must-Attend Startup Events in San Francisco 2025 | HeyGenHeygen