As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...
We're big fans of NotebookLM, and one of its best features is Video Overviews, which will create an AI-generated video based on the sources you've uploaded. Google continues to add and improve ...
If LLMs’ success in deanonymizing people improves, the researchers warn, governments could use the techniques to unmask online critics, corporations could assemble customer profiles for ...
Many of us think of reading as building a mental database we can query later. But we forget most of what we read. A better analogy? Reading trains our internal large language models, reshaping how we ...
By testing agent-to-agent interactions, researchers observed catastrophic system failures. Here's why that's bad news for everyone.
Perplexity launches Computer, a $200-per-month AI agent that orchestrates 19 models from OpenAI, Anthropic, and Google — ...
When your AI assistant calculates revenue, bonuses, VAT or financial summaries, it isn’t doing math. It’s telling a convincing story about numbers.
While these potential applications are showing where the tangible value will be in using reasoning models, the reality is that they are still nascent, and we have not seen widespread adoption for a ...
Both boosters and sceptics have strongly held opinions on AI tools like ChatGPT, but after an experiment in vibe coding, I have realised that both camps are wrong, says Jacob Aron ...
Gong launches ‘Mission Andromeda’ with AI sales coaching, chatbot and open MCP connections to rivals
Gong launches Mission Andromeda, adding Gong Enable AI coaching, a sales-focused assistant, unified account management, and Model Context Protocol (MCP) interoperability to connect revenue AI ...
Large language models (LLMs), artificial intelligence (AI) systems that can process human language and generate texts in ...
With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
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