AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. This post is cowritten with Isaac Cameron and Alex Gnibus from Tecton.

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AWS Machine Learning Blog

FEBRUARY 13, 2025

AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles.

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AWS Machine Learning Blog

MAY 14, 2025

Business use case After its public release, DeepSeek-R1 model, developed by DeepSeek AI , showed impressive results across multiple evaluation benchmarks. The model follows the Mixture of Experts (MoE) architecture and has 671 billion parameters. tokenizer = AutoTokenizer.from_pretrained(model_id, use_fast=True).

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Towards AI

MAY 5, 2025

Last Updated on May 6, 2025 by Editorial Team Author(s): sridhar sampath Originally published on Towards AI. 🚀 Beyond Text: Building Multimodal RAG Systems with Cohere and Gemini TL;DR Traditional RAG fails on visual data. Flash Try Gemini on Google AI Studio 💻 System Requirements: Python 3.8+

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AWS Machine Learning Blog

MARCH 31, 2023

The key to making this approach practical is to augment human agents with scalable, AI-powered virtual agents that can address callers’ needs for at least some of the incoming calls. Check out these short demo videos: Introduction to QnABot Solution Introducing Amazon Lex Try Amazon Lex or the QnABot for yourself in your own AWS account.

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AWS Machine Learning Blog

NOVEMBER 17, 2023

In this section, we briefly introduce the system architecture. The following diagram illustrates this architecture. The monitoring dashboard is a lightweight demo app that provides essential features for moderators. We’ll delve deeper into live stream text and audio moderation using AWS AI services in upcoming posts.

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