…in a blank space; they understand lighting, depth of field, and complex textures with accuracy. Even the edge detection worked like a charm. A perfect example of this is the Magic Eraser…
…Moreover, the entire transcript is searchable for keywords, and I can directly copy text from it to search the web while Recorder runs in the background. For on-device AI implementations that…
…It processes audio and outputs text, and that’s it. Whisper supports transcription, English translation, language detection, and timestamp prediction within a single model. It works across roughly 99 languages, though accuracy…
…GGUF text models are the main thing, but Kobold also does image recognition via mmproj files, image generation through a bundled Stable Diffusion.cpp, speech-to-text via Whisper, text-to-speech…
…I’ve also added Whisper as the speech-to-text server, while Piper is responsible for the text-to-speech conversion. Combine that with the wake word-detection capabilities on my smartphone…
…can identify songs playing in their surroundings and see a full history of detected songs by enabling this AI-powered feature. It's also nice that Now Playing actually doesn't share…
…Error detection actually saves time No more copy-paste between terminal and browser Error detection solves the most tedious loop in terminal debugging: command failures. Typically, you copy the error, you switch…
…Meanwhile, faster-whisper serves as the speech-to-text model, with Piper acting as the text-to-speech engine. Combining all that with my tablet’s wake word detection turns my old…
…It's worth noting that these manual corrections are also logged and stored as transcript text so that the software learns and improves its detection the next time around into a patent…
…Related I finally found an open-source local LLM that actually competes with cloud AI Open-source is catching up Microsoft is missing the AI component Ironic It's time to address…