self.transformer_layers = [TransformerLayer(d_model, nhead) for _ in range(num_layers)] # Convert the output vectors to word probabilities # What this is: A way to predict the next word in a sequence.

When creating content, the AI model draws from patterns in the data to create outputs that are often indistinguishable from human-created material, whether it's text, images, code, or even music. The ...

What is Generative AI? Generative AI (genAI) is a broad label describing any type of artificial intelligence (AI) that can produce new text, images, video, or audio clips. Technically, this type of AI ...

The quality and diversity of the data sources, including text, image, audio, and video, significantly impact the model’s performance and output quality. Generative AI models are adept at ...

To address this, developers have introduced an innovative vision and language generation approach based on “generative vokens,” bridging the gap for harmonized text-image outputs. The foundation ...

Generative AI is a kind of artificial intelligence that creates new content, including text, images, audio, and video, based on patterns it has learned from existing content. Today’s generative ...

Methods for AI safety such as red teaming – attempts to force AI tools to misbehave – or ensuring that the model training process reduces the similarity between the outputs of generative AI ...

First, the outputs of generative AI models like GPT and Stable Diffusion are open-ended. These models generate text and image data from scratch, whereas other frequently used discriminative ML ...

As generative artificial intelligence (GenAI) continues to push the boundaries of creative expression and problem-solving, a growing concern looms: the emergence of hallucinations. An example of a ...