0 bookmark(s) - Sort by: Date ↓ / Title /
An explanation of the differences between encoder- and decoder-style large language model (LLM) architectures, including their roles in tasks such as classification, text generation, and translation.
Join 600,000+ readers and get the rundown on the latest developments in AI before everyone else.
A Github Gist containing a Python script for text classification using the TxTail API
A surprising experiment to show that the devil is in the details
This article provides a beginner-friendly introduction to Large Language Models (LLMs) and explains the key concepts in a clear and organized way.
"Refreshing my understanding of deep learning as a "stack of data transformations" is incredibly powerful. It's like a sequence of layers, each layer transforming the input data into something more abstract and informative. This perspective makes it easier to understand how neural networks process information."
First / Previous / Next / Last
/ Page 1 of 0