Anthropic

This retractable USB-C cable for fast charging is a must buy...

AI Observer
Anthropic

Google reveals the release date of Samsung’s Project Moohan Android XR...

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Canalys: Global TWS market grows 18% as Apple remains undisputed leader

AI Observer
Anthropic

GitHub Copilot has just gotten smarter, thanks to a new enterprise...

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REVIEW: DJI Mavic 4 Pro

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Pharma marketers weigh up the economy and the possibility of a...

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France Endorses UN Open Source Principles. Here’s how it’s leading the...

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Trump will sign the Take It Down Act criminalizing AI Deepfakes...

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Microsoft has launched an AI that can discover a new chemical...

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Toei Animation wants to use AI in future productions

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Anthropic

Scattered Spider, a fake help-desk call made by Scattered Spider, was...

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Evaluating Enterprise-Grade AI Assistants: A Benchmark for Complex, Voice-Driven Workflows

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This AI Paper Introduces Group Think: A Token-Level Multi-Agent Reasoning Paradigm...

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A Comprehensive Coding Guide to Crafting Advanced Round-Robin Multi-Agent Workflows with...

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Education

Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

AI Observer
AI Observer

Evaluating Enterprise-Grade AI Assistants: A Benchmark for Complex, Voice-Driven Workflows

As businesses increasingly integrate AI assistants, assessing how effectively these systems perform real-world tasks, particularly through voice-based interactions, is essential. Existing evaluation methods concentrate on broad conversational skills or limited, task-specific tool usage. However, these benchmarks fall short when measuring an AI agent’s ability to manage complex, specialized workflows...