2019 AI Data Preparation 
KDnuggets
OCTOBER 2, 2019
As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.
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. By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in enhanced task-specific capabilities.
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KDnuggets
OCTOBER 31, 2019
AI-based models are highly dependent on accurate, clean, well-labeled, and prepared data in order to produce the desired output and cognition. These models are fed with bulky datasets covering an array of probabilities and computations to make its functioning as smart and gifted as human intelligence.
DataRobot
MARCH 2, 2021
Every day, millions of people interact with AI systems, often without knowing it. Whether it’s used to make a product or other recommendation, apply for a loan, or filter spam from your inbox, AI is changing the world. The enrollment period for the second AI for Good cohort begins March 1. Our Program. The First Round.
AWS Machine Learning Blog
DECEMBER 18, 2024
AIs transformative impact extends throughout the modern business landscape, with telecommunications emerging as a key area of innovation. Fastweb , one of Italys leading telecommunications operators, recognized the immense potential of AI technologies early on and began investing in this area in 2019.
AWS Machine Learning Blog
NOVEMBER 27, 2023
Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential. Clean data is important for good model performance.
AWS Machine Learning Blog
DECEMBER 1, 2023
Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring. About the Authors Mair Hasco is an AI/ML Specialist for Amazon SageMaker Studio. Get started on SageMaker Studio here.
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