venturebeat
Cohere’s Rerank 4 quadruples the context window over 3.5 to cut agent errors and boost enterprise search accuracy

Almost a year after releasing Rerank 3.5, Cohere launched the latest version of its search model, now with a larger context window to help agents find the information they need to complete their tasks. Cohere said in a blog post that Rerank 4 has a 32K context window, representing a four-fold increase compared to 3.5. “This enables the model to handle longer documents, evaluate multiple passages simultaneously and capture relationships across sections that shorter windows would miss,” according to the blog post. “This expanded capacity, therefore, improves ranking accuracy for realistic document types and increases confidence in the relevance of retrieved results.”<br /> <br /> Rerank 4 comes in two flavors: Fast and Pro. As a smaller model, Fast is best suited for us [...]

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venturebeat
Most enterprises can't stop stage-three AI agent threats, VentureBeat survey finds

A rogue AI agent at Meta passed every identity check and still exposed sensitive data to unauthorized employees in March. Two weeks later, Mercor, a $10 billion AI startup, confirmed a supply-chain br [...]

Match Score: 205.01

blogspot
How I Get Free Traffic from ChatGPT in 2025 (AIO vs SEO)

Three weeks ago, I tested something that completely changed how I think about organic traffic. I opened ChatGPT and asked a simple question: "What's the best course on building SaaS with Wor [...]

Match Score: 157.76

venturebeat
Perplexity takes its ‘Computer’ AI agent into the enterprise, taking aim at Microsoft and Salesforce

Perplexity, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural Ask 2026 developer conference that its multi-model AI agent, Computer, is now available to ente [...]

Match Score: 147.74

venturebeat
GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs

For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning [...]

Match Score: 129.46

venturebeat
Research shows ‘more agents’ isn’t a reliable path to better enterprise AI systems

Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties. W [...]

Match Score: 121.98

venturebeat
ACE prevents context collapse with ‘evolving playbooks’ for self-improving AI agents

A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework automat [...]

Match Score: 120.68

venturebeat
Testing autonomous agents (Or: how I learned to stop worrying and embrace chaos)

Look, we've spent the last 18 months building production AI systems, and we'll tell you what keeps us up at night — and it's not whether the model can answer questions. That's ta [...]

Match Score: 118.87

venturebeat
RSAC 2026 shipped five agent identity frameworks and left three critical gaps open

“You can deceive, manipulate, and lie. That’s an inherent property of language. It’s a feature, not a flaw,” CrowdStrike CTO Elia Zaitsev told VentureBeat in an exclusive interview at RSA Conf [...]

Match Score: 118.23

venturebeat
Nvidia launches enterprise AI agent platform with Adobe, Salesforce, SAP among 17 adopters at GTC 2026

Jensen Huang walked onto the GTC stage Monday wearing his trademark leather jacket and carrying, as it turned out, the blueprints for a new kind of monopoly.The Nvidia CEO unveiled the Agent Toolkit, [...]

Match Score: 118.11