IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Neural Network 178

Neural Network Deep Learning Machine Learning Artificial Intelligence 178

Unite.AI

JANUARY 23, 2024

Unlike traditional NLP models which rely on rules and annotations, LLMs like GPT-3 learn language skills in an unsupervised, self-supervised manner by predicting masked words in sentences. Their foundational nature allows them to be fine-tuned for a wide variety of downstream NLP tasks. This enables pretraining at scale.

Large Language Models 100

Large Language Models Prompt Engineering Prompt Engineer LLM 100

O'Reilly Media

NOVEMBER 19, 2024

at Google, and “ Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks ” by Patrick Lewis, et al., One more embellishment is to use a graph neural network (GNN) trained on the documents. See the excellent talk “ Systems That Learn and Reason ” by Frank van Harmelen for more exploration about hybrid AI trends.

LLM 102

LLM Hybrid AI NLP Large Language Models 102