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Fine-tune Code Llama on Amazon SageMaker JumpStart | Amazon Web Services

Today, we are excited to announce the capability to fine-tune Code Llama models by Meta using Amazon SageMaker JumpStart. The Code Llama family of...

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Over 100 Malicious Code-Execution Models on Hugging Face

Researchers have unearthed over 100 malicious machine learning (ML) models on the Hugging Face AI platform that can enable attackers to inject malicious code...

Accelerating large-scale neural network training on CPUs with ThirdAI and AWS Graviton | Amazon Web Services

This guest post is written by Vihan Lakshman, Tharun Medini, and Anshumali Shrivastava from ThirdAI. Large-scale...

Hugging Face AI Platform Riddled With 100 Malicious Code-Execution Models

Researchers have discovered about 100 machine learning (ML) models that have been uploaded to the Hugging Face artificial intelligence (AI) platform and potentially enable...

Streamline diarization using AI as an assistive technology: ZOO Digital’s story | Amazon Web Services

ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures. It makes globalization...

Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints | Amazon Web Services

Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of models on a single...

Code Llama 70B is now available in Amazon SageMaker JumpStart | Amazon Web Services

Today, we are excited to announce that Code Llama foundation models, developed by Meta, are available for customers through Amazon SageMaker JumpStart to deploy...

How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker | Amazon Web Services

This post is co-written with Santosh Waddi and Nanda Kishore Thatikonda from BigBasket. BigBasket is India’s largest...

Deploy large language models for a healthtech use case on Amazon SageMaker | Amazon Web Services

In 2021, the pharmaceutical industry generated $550 billion in US revenue. Pharmaceutical companies sell a variety of different, often novel, drugs on the market,...

The role of the CPU in sustainable AI/ML

Advertorial As AI extends its reach across business computing environments, its impact is causing some unanticipated knock-on effects. IDC's latest FutureScape report, for instance,...

Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning | Amazon Web Services

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model...

Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium | Amazon Web Services

Today, we’re excited to announce the availability of Llama 2 inference and fine-tuning support on AWS Trainium and AWS Inferentia instances in Amazon SageMaker...

Host the Whisper Model on Amazon SageMaker: exploring inference options | Amazon Web Services

OpenAI Whisper is an advanced automatic speech recognition (ASR) model with an MIT license. ASR technology finds utility in transcription services, voice assistants, and...

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