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
Intel announced new enterprise GPU with 32GB vram
If only it works well with work flow. Nvidia have CUDA, AMD have ROCM, I don’t even know what Intel have aside from DirectX which everyone can use submitted by /u/SQRSimon [link] [comments]
5 Practical Techniques to Detect and Mitigate LLM Hallucinations Beyond Prompt Engineering
My friend who is a developer once asked an LLM to generate documentation for a payment API.
Exclusive Self Attention
We introduce exclusive self attention (XSA), a simple modification of self attention (SA) that improves Transformer’s sequence modeling performance. The key idea is to constrain attention to capture only information orthogonal to the token’s own value vector (thus excluding information of self position), encouraging better context modeling. Evaluated on the…
Unlocking video insights at scale with Amazon Bedrock multimodal models
Video content is now everywhere, from security surveillance and media production to social platforms and enterprise communications. However, extracting meaningful insights from large volumes of video remains a major challenge. Organizations need solutions that can understand not only what appears in a video, but also the context, narrative, and underlying…