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Source channel @githubtrending · Post #14717 · May 18

#jupyter_notebook Learning about Large Language Models (LLMs) can be very beneficial. You can build exciting projects over eight weeks, starting with simple tasks and moving to more complex ones. This journey helps you develop deep expertise in AI and LLMs. You'll learn by doing hands-on projects, which is a fun and effective way to understand how these models work. By the end, you'll have skills that can be used in real-world applications, making it a valuable learning experience. https://github.com/ed-donner/llm_engineering

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@githubtrending · Post #14804 · 06/07/2025, 01:30 PM

#jupyter_notebook#android#asr#deep_learning#deep_neural_networks#deepspeech#google_speech_to_text#ios#kaldi#offline#privacy#python#raspberry_pi#speaker_identification#speaker_verification#speech_recognition#speech_to_text#speech_to_text_android#stt#voice_recognition#vosk Vosk is a powerful tool for recognizing speech without needing the internet. It supports over 20 languages and dialects, making it useful for many different users. Vosk is small and efficient, allowing it to work on small devices like smartphones and Raspberry Pi. It can be used for things like chatbots, smart home devices, and creating subtitles for videos. This means users can have private and fast speech recognition anywhere, which is especially helpful when internet access is limited. https://github.com/alphacep/vosk-api