AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.
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Adaptive drafter model uses downtime to double LLM training speed
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
Great models die in deployment, so we built a golden path that turned weeks of ML friction into days — and unlocked nonstop ...
Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...
While open source artificial intelligence gained unprecedented recognition during the latest global AI summit, divisions over governance, market concentration and regulatory power cast doubt on whethe ...
Researchers compare two solutions for approximating LLM rankings of Claude 4, GPT-4o, Gemini 2.5, and Grok-3. Researchers published the results of a study showing how AI search rankings can be ...
From AI basics and global diplomacy to New Delhi Declaration on AI Impact, India’s MANAV vision, major initiatives, and ...
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