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
Building specialized AI without sacrificing intelligence: Nova Forge data mixing in action
Large language models (LLMs) perform well on general tasks but struggle with specialized work that requires understanding proprietary data, internal processes, and industry-specific terminology. Supervised fine-tuning (SFT) adapts LLMs to these organizational contexts. SFT can be implemented through two distinct methodologies: Parameter-Efficient Fine-Tuning (PEFT), which updates only a subset of…
Designing private network connectivity for RAG-capable gen AI apps
The flexibility of Google Cloud allows enterprises to build secure and reliable architecture for their AI workloads. In this blog we will look at a reference architecture for private connectivity for retrieval-augmented generation (RAG)-capable generative AI applications. This architecture is for scenarios where communications of the overall system must use…
What Is That Mysterious Metallic Device US Chief Design Officer Joe Gebbia Is Using?
Gebbia was reportedly spotted at a San Francisco coffee shop using an unidentified pair of earbuds with a circular disc that looks similar to the device seen in a recent OpenAI hoax ad.
ChatGPT as a therapist? New study reveals serious ethical risks
As millions turn to ChatGPT and other AI chatbots for therapy-style advice, new research from Brown University raises a serious red flag: even when instructed to act like trained therapists, these systems routinely break core ethical standards of mental health care. In side-by-side evaluations with peer counselors and licensed psychologists,…