
A simple guide to key AI terms: from LLMs to hallucinations
Learn key AI terms like LLMs, hallucinations, machine learning, and NLP with this simple guide designed to make artificial intelligence easy to understand.
255 articles · page 20 of 22 · showing 229 to 240

Learn key AI terms like LLMs, hallucinations, machine learning, and NLP with this simple guide designed to make artificial intelligence easy to understand.

Google and Intel deepen their AI infrastructure partnership to enhance cloud performance, data processing, and next-generation AI capabilities.

Meta introduces its Muse Spark model as part of a ground-up AI overhaul, aiming to improve performance, efficiency, and next-gen capabilities.

Databricks co-founder wins a prestigious ACM award and states that AGI is already here, sparking debate across the AI and tech community.

Uber is turning to Amazon’s AI chips to power its infrastructure, highlighting growing adoption of AWS hardware for scalable AI and cloud computing needs.

Anthropic strengthens its compute partnerships with Google and Broadcom to meet rising demand for AI models and large-scale infrastructure.

Microsoft introduces three new foundational AI models, intensifying competition with OpenAI, Google, and Meta in the fast-growing AI landscape.

As AI tool usage rises in the US, fewer users trust the accuracy of results, highlighting concerns around reliability, bias, and data transparency.

Databricks has acquired two startups to power its new AI security product, aiming to improve data protection, governance, and enterprise AI safety.

Startup Gimlet Labs is addressing the AI inference bottleneck with an efficient, scalable approach that improves performance and reduces compute costs.

Niv-AI comes out of stealth with technology designed to improve GPU performance and efficiency, helping AI workloads run faster while reducing compute costs.

Elon Musk’s xAI is reworking its approach after admitting early systems were not built correctly, signalling another reset in its push to compete in the AI race.
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