1. Importance of scale 2. Importance of self-supervised learning for dirty data training 3. Very tricky case with dither seed and self-supervised learning 4. Voice search data is useless 5. Importance of multi-objective training (again) 6. Why readable transcripts (Whisper) better than good WER (RNNT) 7. Discussion on factors of audio and text data for audio LLM training 8. Size of the decoder and size of the encoder
Not always relevant for us gpu-poor guys but very nice overall.
1. Importance of scale 2. Importance of self-supervised learning for dirty data training 3. Very tricky case with dither seed and self-supervised learning 4. Voice search data is useless 5. Importance of multi-objective training (again) 6. Why readable transcripts (Whisper) better than good WER (RNNT) 7. Discussion on factors of audio and text data for audio LLM training 8. Size of the decoder and size of the encoder
Not always relevant for us gpu-poor guys but very nice overall.
Bitcoin mining is the process of adding new transactions to the Bitcoin blockchain. It’s a tough job. People who choose to mine Bitcoin use a process called proof of work, deploying computers in a race to solve mathematical puzzles that verify transactions.To entice miners to keep racing to solve the puzzles and support the overall system, the Bitcoin code rewards miners with new Bitcoins. “This is how new coins are created” and new transactions are added to the blockchain, says Okoro.
Why Telegram?
Telegram has no known backdoors and, even though it is come in for criticism for using proprietary encryption methods instead of open-source ones, those have yet to be compromised. While no messaging app can guarantee a 100% impermeable defense against determined attackers, Telegram is vulnerabilities are few and either theoretical or based on spoof files fooling users into actively enabling an attack.
