Identify idle endpoints in Amazon SageMaker
Amazon SageMaker is a machine learning (ML) platform designed to simplify the process of building, training, deploying, and managing ML...
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Learn Transformer Fine-Tuning and Segment Anything | by Stefan Todoran | Jun, 2024
Train Meta’s Segment Anything Model (SAM) to segment high fidelity masks for any domainThe release of several powerful, open-source foundational...
Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock
Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. Generative artificial intelligence...
Duplicate Detection with GenAI. How using LLMs and GenAI techniques can… | by Ian Ormesher | Jul, 2024
How using LLMs and GenAI techniques can improve de-duplication2D UMAP Musicbrainz 200K nearest neighbour plotCustomer data is often stored as...
The History of Convolutional Neural Networks for Image Classification (1989 – Today) | by Avishek Biswas | Jun, 2024
A visual tour of the greatest innovations in Deep Learning and Computer Vision.Before CNNs, the standard way to train a...
Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch
Amazon Bedrock has enabled customers to build new delightful experiences for their customers using generative artificial intelligence (AI). Amazon Bedrock...
An Intuitive Overview of Weak Supervision | by Essam Wisam | Jun, 2024
This is probably the solution to your next NLP problem.In this story we introduce and broadly explore the topic of...
Build safe and responsible generative AI applications with guardrails
Large language models (LLMs) enable remarkably human-like conversations, allowing builders to create novel applications. LLMs find use in chatbots for...
A Crash Course of Planning for Perception Engineers in Autonomous Driving | by Patrick Langechuan Liu | Jun, 2024
The fundamentals of planning and decision-makingAlphaGo, ChatGPT and FSD (image credit Elena Popova, Karthik Sridasyam and Jonathan Kemper on Unsplash)A...
Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight
Extracting valuable insights from customer feedback presents several significant challenges. Manually analyzing and categorizing large volumes of unstructured data, such...
Demonstrating Prioritization Effectiveness in Sales | by Gonzalo Espinosa Duelo | Jun, 2024
The power of machine learning for contact priorizationImage created with DALL-ELet’s imagine two companies in the B2B/B2C context, who are...
AI-powered assistants for investment research with multi-modal data: An application of Agents for Amazon Bedrock
This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in...
The Data Scientist’s Guide to Choosing Data Vendors | by Elad Cohen | Jun, 2024
A practical guide to effectively evaluating and deciding on data to enrich and improve your modelsA data scientist choosing amongst...
Build generative AI applications on Amazon Bedrock — the secure, compliant, and responsible foundation
Generative AI has revolutionized industries by creating content, from text and images to audio and code. Although it can unlock numerous...
Your AI Model Is Not Objective. Where we explore the subjectiveness in… | by Paul Hiemstra | Jun, 2024
OpinionWhere we explore the subjectiveness in AI models and why you should careI recently visited a conference, and a sentence...
