Cohere Blog
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
Cohere taught a 7B model to assess its confidence twice, cutting calibration error by 52.5%
Cohere's CALIBER method trains a reasoning model to estimate its odds before and after solving. On BigMathDigits, ECE fell from 0.059 to 0.028, with an AUROC of 0.806.
Cohere pitches utilities on running North AI agents inside their own perimeter
Cohere's new guide for utilities argues that AI in critical infrastructure hinges less on model capability than on where it runs, what data it touches, and what authority the agent gets.
Cohere explains why AI ROI is hard to calculate, and how to do it
Cohere says AI ROI is (benefit − total cost) ÷ total cost × 100, and names four factors that make forecasts diverge from reality.
Cohere Proposes Making Duplicate AI Agents Compete for a Place in the Company
Cohere examines enterprise "agent sprawl": registries and reuse help, but duplicates need not be banned. They can be compared on reliability, tokens and latency.
Cohere to acquire AISLE, a startup that found 500+ CVE-assigned vulnerabilities in its first year
Cohere has agreed to acquire AISLE, a 2025 startup that found 500+ zero-days with CVEs across 100+ codebases, including all 12 vulnerabilities in January's OpenSSL release.
Cohere finds coding-agent teams can get 61.8% of the reward for $155 instead of $510
Cohere tested how to organize a team of coding agents on ProgramBench. A strong lead with cheap workers delivers near-frontier results at 70% lower cost.
Cohere: Reranking 100 Candidates Instead of 20 Raises the Load from 4,400 to 22,000 Tokens
Cohere explains how to choose between shared and dedicated inference for Embed and Rerank: request shape drives load, not RPM. Reranking 100 candidates costs about 22K tokens per search.