Here are the highlights of the year’s AI breakthroughs and discoveries that could set the stage for an even more ...
But they have also burned through cash at “Towering Inferno” rates, as they spend on the chips and cloud computing needed to ...
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...
The year 2025 was thrilling for the language services industry — four seemingly time-warped quarters where AI was either the ...
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
XPENG-PKU Research Breakthrough: XPENG, in collaboration with Peking University, has developed FastDriveVLA—a novel visual token pruning framework that enables autonomous driving AI to "drive like a ...
Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.
By Kelvin, To, Founder and President of Data Boiler Technologies.
Modern LLMs, like OpenAI’s o1 or DeepSeek’s R1, improve their reasoning by generating longer chains of thought. However, this ...
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