How AI Models Generate Text : Explained In Simple Terms from Prompt to Reply

English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...
IEEE

Integrating Pause Information with Word Embeddings in Language Models for Alzheimer’s Disease Detection from Spontaneous Speech

Abstract: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss. Early detection of AD is crucial for effective intervention and ...
IEEE

Accelerating Material Discovery for CdTe Solar Cells Using Knowledge Intense Word Embeddings

Abstract: Thin film CdTe is the most successful second-generation solar photovoltaic technology, and further development will significantly contribute to net zero emission targets. Natural language ...
GitHub

Self-Supervised Learning for Crop Classification and Yield Prediction

Leibniz-Centre for Agricultural Landscape Research (ZALF) e.V. Email: stefan [dot] stiller [at] zalf [dot] de, stillsen [at] gmail [dot] com This repository contains the code for the study ...
GitHub

Venice AI Python Client

Developed to benchmark and explore the full capabilities of the Venice.ai API, the venice-ai Python package has evolved into a comprehensive client library for developers. This library provides ...
Hosted on MSN

How Word Embeddings Work in Python RNNs?

Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand words/text as they only deal with numbers. So we need to convert words into ...