Dataconomy

MAY 2, 2023

By leveraging probability theory, machine learning algorithms can become more precise and accurate, ultimately leading to better outcomes in various applications such as image recognition, speech recognition, and natural language processing.

ML 110

ML ML Machine Learning Machine Learning 110

Heartbeat

OCTOBER 5, 2023

The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. These LLMs can generate human-like text, understand context, and perform various Natural Language Processing (NLP) tasks.

ML 52

ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

With these focus areas, you can conduct an architecture review from different aspects to enhance the effectivity, observability, and scalability of the three components of an AI/ML project, data, model, or business goal. She focuses on NLP-specific workloads, and shares her experience as a conference speaker and a book author.

AWS 91

AWS ML ML Machine Learning 91

ML Review

FEBRUARY 26, 2018

Since intentions determine the subsequent domain identification flow, the intention stratum is a necessary first step in initiating contextual and domain data model processes. Mining data for creating knowledge graphs b. The technical framework for AliMe’s intention and matching stratification 2.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Heartbeat

SEPTEMBER 7, 2023

if it's an image, use shap.image_plot) shap.image_plot(shap_values, sample_data) # Close the Comet experiment experiment.end() This code snippet simplifies the process of integrating SHAP explanations with Comet.ml. However, these models must not only produce accurate results but also provide explanations for their responses.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. They are designed to understand and generate human-like language by learning from a large dataset of texts, such as books, articles, and websites.

Database 124

Database AI AI Natural Language Processing 124

AWS Machine Learning Blog

APRIL 29, 2024

Historically, natural language processing (NLP) would be a primary research and development expense. In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows.

AWS 96

AWS ML ML Python 96