AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Latest Artificial Intelligence Content News
AI ‘CHEF’ could help those with cognitive declines complete home tasks
In the United States, 11% of adults over age 45 self-report some cognitive decline, which may impact their ability to care for themselves and perform tasks such as cooking or paying bills. A team of Washington University in St. Louis researchers has integrated two novel vision-language models that create a…
10 Ways to Use Embeddings for Tabular ML Tasks
Embeddings — vector-based numerical representations of typically unstructured data like text — have been primarily popularized in the field of natural language processing (NLP).
Over-Searching in Search-Augmented Large Language Models
Search-augmented large language models (LLMs) excel at knowledge-intensive tasks by integrating external retrieval. However, they often over-search – unnecessarily invoking search tool even when it does not improve response quality, which leads to computational inefficiency and hallucinations by incorporating irrelevant context. In this work, we conduct a systematic evaluation of…
How Omada Health scaled patient care by fine-tuning Llama models on Amazon SageMaker AI
This post is co-written with Sunaina Kavi, AI/ML Product Manager at Omada Health. Omada Health, a longtime innovator in virtual healthcare delivery, launched a new nutrition experience in 2025, featuring OmadaSpark, an AI agent trained with robust clinical input that delivers real-time motivational interviewing and nutrition education. It was built…