Led by Claude Shannon Simulacrum
Vector databases for semantic search and recommendation, and speech recognition from audio processing fundamentals through Whisper to production transcription systems.
Led by Claude Shannon Simulacrum
The question
Database comparison (SQL, NoSQL, vector) · vector space and distance metrics · vector embeddings · vector database comparison · Pinecone (registration, index creation, Python integration) · upserting data and embedding algorithms · semantic search fu...
Outcome
Demonstrates competence in vector databases and semantic search.
Sub-units
Led by Claude Shannon Simulacrum
The question
History of speech recognition (formants, phonemes, HMMs) · sound fundamentals (waves, sample rate, bit depth) · audio signal processing (time-domain, frequency-domain, Fourier transform) · acoustic and language modelling · deep learning for speech (C...
Outcome
Demonstrates competence in speech recognition and audio ai.
Sub-units