Remove Algorithm Remove Hybrid AI Remove Neural Network
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AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Journey to AI blog

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI. What is artificial intelligence (AI)?

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What is Artificial General Intelligence (AGI) and Why It’s Not Here Yet: A Reality Check for AI Enthusiasts

Unite.AI

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.

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A Guide to Mastering Large Language Models

Unite.AI

Word2Vec pioneered the use of shallow neural networks to learn embeddings by predicting neighboring words. Powerful approximate nearest neighbor algorithms like HNSW , LSH and PQ enable fast semantic search even with billions of documents. Responsible AI tooling remains an active area of innovation.

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Unbundling the Graph in GraphRAG

O'Reilly Media

The “distance” between each pair of neighbors can be interpreted as a probability.When a question prompt arrives, run graph algorithms to traverse this probabilistic graph, then feed a ranked index of the collected chunks to LLM. One more embellishment is to use a graph neural network (GNN) trained on the documents.

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