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Tag: heavy lifting

Three Disruptive AI Developments Investors Need to See This Week  – American Institute for Crypto Investors

Keeping up with the latest artificial intelligence (AI) developments is like trying to read a dictionary while someone keeps adding words.  It’s...

How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker | Amazon Web Services

This blog post is co-written with Marat Adayev and Dmitrii Evstiukhin from Provectus. When machine learning (ML) models are deployed into production and employed...

Deploy a serverless ML inference endpoint of large language models using FastAPI, AWS Lambda, and AWS CDK | Amazon Web Services

For data scientists, moving machine learning (ML) models from proof of concept to production often presents a significant challenge. One of the main challenges...

VC Spectra (SPCT) Raises $2.3 Million In 2 Weeks Due to Its Unique Value Proposition

Advertisement &nbsp &nbsp The Winklevoss twins are one of the early adopters of crypto. Their Bitcoin investments in the early 2010s made them the...

Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project | Amazon Web Services

Every organization has its own set of standards and practices that provide security and governance for their AWS environment. Amazon SageMaker is a fully...

How Forethought saves over 66% in costs for generative AI models using Amazon SageMaker | Amazon Web Services

This post is co-written with Jad Chamoun, Director of Engineering at Forethought Technologies, Inc. and Salina Wu, Senior ML Engineer at Forethought Technologies, Inc....

Deploy Falcon-40B with large model inference DLCs on Amazon SageMaker | Amazon Web Services

Last week, Technology Innovation Institute (TII) launched TII Falcon LLM, an open-source foundational large language model (LLM). Trained on 1 trillion tokens with Amazon...

Exploring Generative AI in conversational experiences: An Introduction with Amazon Lex, Langchain, and SageMaker Jumpstart | Amazon Web Services

Customers expect quick and efficient service from businesses in today’s fast-paced world. But providing excellent customer service can be significantly challenging when the volume...

Build high-performance ML models using PyTorch 2.0 on AWS – Part 1 | Amazon Web Services

PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural...

Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 2: SageMaker notebooks and Studio | Amazon Web Services

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support offering. Since its introduction, we have helped hundreds of...

High-quality human feedback for your generative AI applications from Amazon SageMaker Ground Truth Plus | Amazon Web Services

Amazon SageMaker Ground Truth Plus helps you prepare high-quality training datasets by removing the undifferentiated heavy lifting associated with building data labeling applications and...

How the Payments Industry will Become a Part of Generative Text AI Technologies

Silicon Valley remains an innovation hub, changing business landscapes with new and exciting technology. Tech giants including Apple, Meta, Visa, and Cisco still operate...

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