Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
Vamsi Uppala vamsiuppala
vamsiuppala
/ normcore-llm.md
Created
February 1, 2024 05:30
— forked from veekaybee/normcore-llm.md
Normcore LLM Reads
vamsiuppala
/ README.md
Created
January 7, 2024 18:58
— forked from veekaybee/README.md
whisper.ipynb
This episode of Recsperts was transcribed with Whisper from OpenAI, an open-source neural net trained on almost 700 hours of audio. The model includes an encoder-decoder architecture by tokenizing audio into 30-second chunks, normalizing audio samples to the log-Mel scale, and passing the data into an encoder. A decoder is trained to predict the captioned text matching the encoder, and the model includes transcription, as well as timestamp-aligned transcription, and multilingual translation.
The transcription process outputs a single string file, so it's up to the end-user to parse out individual speakers, or run the model [through a sec