Deep Learning
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A deep dive into residual vector quantizers, conversational speech AI, and talkative transformers.
9 min read -
Transforming CNNs: From task-specific learning to abstract generalization
9 min read -
Inside Deb8flow: Real-time AI debates with LangGraph and GPT-4o
29 min read -
Optimizing highly parallel AI algorithm execution
11 min read -
How attention helped models like RNNs mitigate the vanishing gradient problem and capture long-range dependencies…
10 min read -
From foundation models to vector databases and AI agents — what makes modern AI work
22 min read -
Combining CNNs and Transformers to Elevate Fine-Grained Visual Classification
32 min read -
How to learn AI/ML from scratch
10 min read -
Breaking down my role as a machine learning engineer
8 min read -
The science and art behind tokenization
9 min read