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AI firms follow DeepSeek’s lead, create cheaper models with “distillation”

Ars Technica

Leading artificial intelligence firms including OpenAI, Microsoft, and Meta are turning to a process called distillation in the global race to create AI models that are cheaper for consumers and businesses to adopt. Read full article Comments

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Telecom Leaders Call Up Agentic AI to Improve Network Operations

NVIDIA AI Blog

Global telecommunications networks can support millions of user connections per day, generating more than 3,800 terabytes of data per minute on average. SoftBank has developed a new LTM based on a large-scale LLM base model, trained on its own network data.

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Agentic AI Leaders to Showcase Latest Advancements at NVIDIA GTC

NVIDIA AI Blog

At NVIDIA GTC , a global AI conference taking place March 17-21 in San Jose, California, industry experts will share how theyre using AI agents to drive innovation in customer service, cybersecurity , retail , automotive , financial services , healthcare , telecommunications and more.

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NVIDIA NIM Microservices Now Available to Streamline Agentic Workflows on RTX AI PCs and Workstations

NVIDIA AI Blog

Announced at the CES trade show in January, NVIDIA NIM provides prepackaged, state-of-the-art AI models optimized for the NVIDIA RTX platform, including the NVIDIA GeForce RTX 50 Series and, now, the new NVIDIA Blackwell RTX PRO GPUs. This takes substantial effort, which can slow AI adoption. PDF to podcast AI Blueprint coming soon.

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One of the world’s largest architecture firms offers a blueprint for successful co-leadership

Fast Company Tech

Last June, global architecture and design firm Gensler named Elizabeth Brink and Jordan Goldstein as co-CEOs, succeeding Andy Cohen and Diane Hoskins, who jointly led the company for nearly 20 years. and Brink is in Los Angeles), and why the co-CEO model isnt for every company. and Fast Company. JG: We have about 300 co-leaders.

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What is Model Risk and Why Does it Matter?

DataRobot

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. As machine learning advances globally, we can only expect the focus on model risk to continue to increase.

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The most innovative companies in applied AI for 2025

Fast Company Tech

Its been gradual, but generative AI models and the apps they power have begun to measurably deliver returns for businesses. Google DeepMind put drug discovery ahead by years when it improved on its AlphaFold model, which now can model and predict the behaviors of proteins and other actors within the cell.

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