Microsoft's new Phi-4 AI models deliver breakthrough performance in a compact size, processing text, images, and speech simultaneously while requiring less computing power than competitors.
Self-correction is one approach that could improve the responses generated by the large language models (LLMs) that power ...
Inception, a new Palo Alto-based company started by Stanford computer science professor Stefano Ermon, claims to have ...
Generative AI systems like large language models and text-to-image generators can pass rigorous exams that are required of ...
Cybersecurity expert Chen Shiri breaks down the challenges of safeguarding large language models and some steps you can take ...
Enhanced reasoning capabilities in Granite 3.2 8B and 2B instruct models, new Vision Language Model (VLM), slimmed-down ...
This dominance is further cemented by control over critical infrastructure - but usability and interface is now an ...
The technology vendor said Granite 3.2 Instruct can complete complex reasoning tasks, mathematical problems and general ...
China's joyful embrace of DeepSeek has gone one step deeper - extending to TVs, fridges and robot vacuum cleaners with a slew ...
The prevailing approach in AI development follows the "scaling law," which assumes that increasing computational power and ...
Amazon’s generative AI-powered Alexa+ will pull from the Amazon Bedrock library of large language models to perform household ...
Granite 3.2 - small AI models offering reasoning, vision, and guardrail capabilities with a developer friendly license ...
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