Use Amazon SageMaker Studio with a custom file system in Amazon EFS
amazon SageMaker Studio is the latest web-based experience for running end-to-end machine learning (ML) workflows. SageMaker Studio offers a suite ...
Tag: Custom
The Comprehensive Guide to Training and Running YOLOv8 Models on Custom Datasets | by Oliver Ma | Oct, 2024
Ultralytics’ cutting-edge YOLOv8 model is one of the best ways to tackle computer vision while minimizing hassle. It is the ...
Import a question answering fine-tuned model into Amazon Bedrock as a custom model
amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading ai companies ...
Persona-Plug (PPlug): A lightweight plug-and-play model for custom language generation
Personalization is essential in many language tasks, as users with similar needs may prefer different results based on their personal ...
Meta will stop offering support for custom face filters in its applications
Meta will shut down all third-party face filters and augmented reality effects on facebook, instagram and Messenger, along with the ...
NuMind Launches: Enables Custom NLP Model Creation with In-House Core Models and Active Learning for 10+ Industries and Languages
ai/blog/numind-is-out">vocation is an innovative tool designed to facilitate the creation of custom Natural Language Processing (NLP) models through an interactive ...
Meet Mem0: the custom AI memory layer that provides an intelligent and adaptive memory layer for large language models (LLMs)
In the digital age, personalized experiences have become essential. Whether in customer support, health diagnostics, or content recommendations, people expect ...
Create custom images for geospatial analysis with Amazon SageMaker Distribution in Amazon SageMaker Studio
amazon SageMaker Studio provides a comprehensive suite of fully managed integrated development environments (IDEs) for machine learning (ML), including JupyterLab, ...
Accenture creates a custom memory-persistent conversational user experience using Amazon Q Business
Traditionally, finding relevant information from documents has been a time-consuming and often frustrating process. Manually sifting through pages upon pages ...
Use zero-shot large language models on Amazon Bedrock for custom named entity recognition
Name entity recognition (NER) is the process of extracting information of interest, called entities, from structured or unstructured text. Manually ...
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