Ehud Reiter

APRIL 22, 2024

Instead the focus was on what the above-mentioned report called Information Gathering and Sensemaking (eg, using text analytics to analyse stuff) and Business Uses (eg, finding potential advertisers). Obviously this kind of thing is still very important, but nice to see that the NLG usage is now the most common!

Generative AI 129

Generative AI Prompt Engineer Prompt Engineering LLM 129

ODSC - Open Data Science

OCTOBER 23, 2023

As large language models, generative AI, and prompt engineering have all taken center stage in the AI domain, the interests, demands, and skills required to forge ahead with one’s career have also changed. Traditionally, our NLP track has focused on the usual aspects of NLP, such as text analytics and sentiment analysis.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Data Science 52

IBM Journey to AI blog

JULY 17, 2023

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

Machine Learning 189

Machine Learning Metadata AI AI 189