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. Machine learning is a subset of AI. What is artificial intelligence (AI)?

Neural Network 178

Neural Network Deep Learning Machine Learning Artificial Intelligence 178

Unite.AI

FEBRUARY 16, 2024

Unsupervised learning involves finding patterns in unlabeled data, while reinforcement learning centers around learning from actions and feedback, optimizing for rewards, or minimizing costs. They often need help with adaptability, especially in novel situations, and more transparency in explaining their reasoning.

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Neural Network Machine Learning Algorithm Natural Language Processing 193

AWS Machine Learning Blog

NOVEMBER 22, 2023

Roy from Qualcomm AI. Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100 Standard accelerators, can be used to cost-efficiently deploy deep learning (DL) workloads in the cloud. DL2q instances are the first instances to bring Qualcomm’s artificial intelligent (AI) technology to the cloud.

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BERT Deep Learning Python Auto-classification 122

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. What are Large Language Models and Why are They Important? However, building useful LLM-based products requires specialized skills and knowledge.

Large Language Models 100

Large Language Models Prompt Engineer Prompt Engineering LLM 100

ODSC - Open Data Science

APRIL 6, 2023

Hybrid AI for Complex Applications with Scruff In this ODSC East preview, the author describes how the Scruff AI modeling framework enables clear and coherent implementation of multiparadigm AI models. Check out some more highlights in the full schedule here!

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ChatGPT Data Science Large Language Models Machine Learning 52

deepsense.ai

NOVEMBER 14, 2023

Within Natural Language Processing (NLP), ‘pseudo-evaluation’ approaches that we call ‘Superficial Utility Comparison Kriterion’ ( SUCK ) methods, like BLEU [32], METEOR [33], ROUGE [34], or BLEURT [35], attempt to salvage the situation. -Z., 2004 BLEURT: Learning robust metrics for text generation , Sellam T.,

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Generative AI ML Prompt Engineering Prompt Engineer 111