Media and entertainment companies are now exploring fine-tuning video generation models to create custom model versions for their own internal use, including potentially on specific productions. Fine-tuning refers to a process of training a pre-trained AI model on a curated dataset to create a smaller new model, which is then capable of producing more specific kinds of outputs.
Source: Fine-Tuning AI Video Models Getting Early Interest From Film & TV Studios

Today, Meta said it is releasing Llama 3.1 405B, a model containing 405 billion parameters. Parameters roughly correspond to a model’s problem-solving skills, and models with more parameters generally perform better than those with fewer parameters. At 405 billion parameters, Llama 3.1 405B isn’t the absolute largest open source model out there, but it’s the biggest in recent years.


Under the proposed law, this “content provenance information” would be embedded in digital forms of copyrighted material, and it would be unlawful to remove it or tamper with it, except in very limited cases where platforms are carrying out research to improve security. It would also be unlawful for anyone to use any material with “content provenance information” to train AI, or to create AI-generated content, “unless such person obtains the express, informed consent of the person who owns the covered content.”
