IBM Journey to AI blog

APRIL 18, 2024

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

Neural Network 239

Neural Network LLM AI AI 239

Snorkel AI

JULY 19, 2023

To accomplish this, we used a pair of models developed in just half a day with Snorkel: one to categorize instruction classes, and the other to estimate response quality (for filtering out low-quality responses). The experiment asked subjects to compare human responses already in the datasets to ChatGPT responses to the same prompts.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

Snorkel AI

JULY 19, 2023

To accomplish this, we used a pair of models developed in just half a day with Snorkel: one to categorize instruction classes, and the other to estimate response quality (for filtering out low-quality responses). The experiment asked subjects to compare human responses already in the datasets to ChatGPT responses to the same prompts.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

Snorkel AI

JULY 19, 2023

To accomplish this, we used a pair of models developed in just half a day with Snorkel: one to categorize instruction classes, and the other to estimate response quality (for filtering out low-quality responses). The experiment asked subjects to compare human responses already in the datasets to ChatGPT responses to the same prompts.

Categorization 40

Categorization ChatGPT Large Language Models Generative AI 40

IBM Journey to AI blog

DECEMBER 20, 2023

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. Regression algorithms —predict output values by identifying linear relationships between real or continuous values (e.g., temperature, salary).

Machine Learning 204

Machine Learning Neural Network Algorithm Computer Vision 204

IBM Journey to AI blog

AUGUST 1, 2023

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy. models are trained on IBM’s curated, enterprise-focused data lake.

Generative AI 151

Generative AI Data Scientist BERT Machine Learning 151

AWS Machine Learning Blog

NOVEMBER 15, 2023

As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional natural language processing (NLP)-based analytics.

Data Ingestion 111

Data Ingestion Metadata NLP Data Scientist 111