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

FEBRUARY 16, 2024

Despite achieving remarkable results in areas like computer vision and natural language processing , current AI systems are constrained by the quality and quantity of training data, predefined algorithms, and specific optimization objectives.

Neural Network 195

Neural Network Machine Learning Algorithm Natural Language Processing 195

Unite.AI

AUGUST 22, 2023

We wrote developed custom rules (later more complex neural networks) to predict which customers we should approach with which products at which times to maximize the likelihood of a salesperson’s time resulting in revenue uplift. You’ve described Algolia as being the most scalable hybrid AI search engine in the world.

Big Data 246

Big Data Neural Network Natural Language Processing Machine Learning 246

O'Reilly Media

NOVEMBER 19, 2024

One more embellishment is to use a graph neural network (GNN) trained on the documents. For example, a mention of “NLP” might refer to natural language processing in one context or neural linguistic programming in another. LLMs are notorious for making these kinds of mistakes when generating graphs.

LLM 127

LLM NLP Hybrid AI Large Language Models 127

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. Word2Vec pioneered the use of shallow neural networks to learn embeddings by predicting neighboring words. LLMs utilize embeddings to understand word context.

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Large Language Models Prompt Engineering Prompt Engineer LLM 100