
Google has enhanced its Gemini API with new features for managed agents, including environment hooks and model selection. These updates allow for more autonomous and controlled execution of tasks within a cloud sandbox, making it easier for developers to manage workflows. The addition of a free tier enables developers to experiment without incurring costs, while budget controls help manage resource consumption. This positions the Gemini API as a valuable tool for developers seeking to automate and streamline coding processes.
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This release quietly expands llama.cpp's hardware support to include Qualcomm's Hexagon NPU on Linux arm64, a significant step for local inference on Snapdragon devices. It also updates CUDA builds to version 13.4 and introduces ROCm 10.0 binaries, keeping the project aligned with the latest NVIDIA and AMD driver ecosystems. KleidiAI on Apple Silicon is temporarily disabled in this build, likely due to stability checks rather than a feature rollback. For developers targeting edge AI or diverse GPU stacks, this update ensures broader compatibility without requiring custom compilation.
© Lev SelectorNVIDIA introduced the NVFP4 4-bit format and SoL-Pi technology, which uses 2x fewer tokens for improved efficiency.
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