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Professional social networking platform, Pulse, recently announced the successful integration of the DeepSeek-R1 model. This move aims to further optimize candidate-job matching efficiency and comprehensively elevate the intelligence level of the recruitment process. Reportedly, Pulse began deploying the model in early February of this year and has completed relevant testing. Currently, AI technology deeply empowers Pulse's overall recruitment workflow, achieving significant efficiency improvements in several key areas, including job signal capture, application filtering, automatic follow-up questions, and intelligent greetings. In the talent assessment phase, the system can dynamically track user behavior and analyze it.

Pindrop has launched Pulse Inspect, a web-based audio and video file detection system that accurately identifies AI-generated speech with 99% accuracy, as part of the Pindrop Pulse product suite. The tool's unique capability lies in its ability to recognize audio generated by various AI tools or models, and it is currently in preview, designed to serve organizations aiming to prevent audio forgery risks on a large scale. With the rise of text-generating AI systems, audio forgery has become prevalent, making Pulse Inspect essential.

Tencent recently released the 2.0 version of its independently developed Xingmai Network, a significant upgrade that brings a substantial performance boost to large-scale artificial intelligence model training. The new version has achieved breakthroughs in multiple aspects, including network scale, hardware performance, communication protocols, and fault diagnosis. It is reported that in terms of network scale, Xingmai Network 2.0 supports networking of 100,000 card groups in a single cluster, p

Tencent Cloud recently launched an upgraded version of the Xing Mai Network 2.0, aiming to enhance the efficiency of large-scale model training. In the previous version, the synchronization communication time for the computation results of large models accounted for over 50% of the total, resulting in low efficiency. The new version of Xing Mai Network 2.0 has been upgraded in several aspects:1. Supports networking of up to 100,000 cards in a single cluster, doubling the scale, with a 60% improv