AWS Machine Learning Blog

NOVEMBER 15, 2024

It provides a common framework for assessing the performance of natural language processing (NLP)-based retrieval models, making it straightforward to compare different approaches. It offers an unparalleled suite of tools that cater to every stage of the ML lifecycle, from data preparation to model deployment and monitoring.

AWS 107

AWS Computer Science Computer Science Database 107

AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications.

Data Preparation 95

Data Preparation Machine Learning Machine Learning ML 95

Towards AI

AUGUST 16, 2023

AI engineering is the discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts, which combines the principles of systems engineering, software engineering, and computer science to create AI systems.

AI 96

AI AI Machine Learning Machine Learning 96

AWS Machine Learning Blog

SEPTEMBER 12, 2023

By implementing a modern natural language processing (NLP) model, the response process has been shaped much more efficiently, and waiting time for clients has been reduced tremendously. In the following sections, we break down the data preparation, model experimentation, and model deployment steps in more detail.

Data Science 124

Data Science Data Scientist AWS ML 124

AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific entities or phrases. She has extensive experience in machine learning with a PhD degree in computer science.

AWS 109

AWS ML ML Machine Learning 109

Pickl AI

JULY 12, 2024

Deep Learning has been used to achieve state-of-the-art results in a variety of tasks, including image recognition, Natural Language Processing, and speech recognition. Natural Language Processing (NLP) This is a field of computer science that deals with the interaction between computers and human language.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

PyImageSearch

FEBRUARY 17, 2025

Instead of relying on static datasets, it uses GPT-4 to generate instruction-following data across diverse scenarios. Data Curation in LLaVA Data preparation in LLaVA is a three-tiered process: Conversational Data: Curating dialogues for interaction-focused tasks. Or requires a degree in computer science?

Deep Learning 98

Deep Learning Deep Learning AI AI 98