
Genesis AI, a robotics startup supported by Khosla Ventures, has introduced its first model, GENE-26.5, which includes human-like robotic hands. The model aims to close the 'embodiment gap' by replicating human hand functions, allowing for more complex task execution. The startup has also developed a sensor-loaded glove to enhance data collection for training purposes. This innovation could significantly impact the robotics field, as Genesis AI plans to expand into general-purpose robotics. The company is actively hiring and expanding its presence in Europe and the U.S.
Read originalThe latest b9041 release of llama.cpp continues its trend of broadening platform compatibility, making it a versatile choice for developers across different environments. Notably, this update includes support for macOS Apple Silicon with KleidiAI enabled, as well as expanded Vulkan and ROCm 7.2 support on Ubuntu. This release doesn't introduce new models but focuses on enhancing the runtime's adaptability across various hardware configurations. By doing so, llama.cpp strengthens its position as a go-to inference runtime for developers seeking flexibility beyond NVIDIA's CUDA ecosystem.
Llama.cpp's latest update expands its functionality by integrating IBM's Granite-Speech, significantly enhancing its audio processing capabilities. The update features a Conformer encoder with Shaw relative position encoding and a QFormer projector, which efficiently compresses audio data into the LLM embedding space. This ensures precise token-for-token matching with HF transformers on audio clips, demonstrating its robustness. By incorporating these advanced audio processing techniques, llama.cpp becomes a more versatile tool for developers, extending its utility beyond text to include sophisticated audio data handling.