Magic, fairies, sci-fi, and mythology all offer a fun escape, but sometimes the world around us can be as magical and dramatic as the best imagined one. Kids love seeing themselves in relatable ...

Sparked two years ago by the launch of Meta’s open source Llama model — and ignited into a frenzy by the release of DeepSeek R1 this year — this homebrew AI sector looks to be on an ...

The company said it would share the latest open-source AI developments designed to help programmers build apps and products there. “It follows an unprecedented growth and momentum of our open-source ...

Meta Platforms (NASDAQ:META) is launching a new developer conference called LlamaCon, set for April 29, as the company rides the surge in popularity of its Llama AI models. Warning! GuruFocus has ...

This gap between synthetic testing and practical application has driven the need for more realistic evaluation methods. OpenAI introduces SWE-Lancer, a benchmark for evaluating model performance on ...

Realistic detective games like Sherlock Holmes: Crimes and Punishments use clue logging and skill checks to catch culprits authentically. In Return of the Obra Dinn, players must investigate ...

Researchers at ByteDance, TikTok's parent company, showcased an AI model designed to generate full-body deepfake videos from one image and audio — and the results are scarily impressive.

ByteDance has introduced its new AI system known as OmniHuman-1. The new system is able take a single photo of a subject and transform their likeness into a video of them speaking, singing, and even ...

OmniHuman-1's fake videos look startlingly lifelike, and the model's deepfake outputs are perhaps the most realistic to date. Just take a look at this TED Talk that never actually took place.

Despite progress in AI-driven human animation, existing models often face limitations in motion realism, adaptability, and scalability. Many models struggle to generate fluid body movements and rely ...

llama-server \ -hf ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF \ --port 8012 -ub 512 -b 512 --ctx-size 0 --cache-reuse 256 llama-server \ -hf ggml-org/Qwen2.5-Coder-0.5B-Q8_0-GGUF \ --port 8012 -ub 1024 -b ...