Tag: JSON
Deploy a Hugging Face (PyAnnote) speaker diarization model on Amazon SageMaker as an asynchronous endpoint | Amazon Web Services
Speaker diarization, an essential process in audio analysis, segments an audio file based on speaker identity. This post delves into integrating Hugging Face’s PyAnnote...
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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock | Amazon Web Services
Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. As successful proof-of-concepts transition into production, organizations are increasingly...
Use Kubernetes Operators for new inference capabilities in Amazon SageMaker that reduce LLM deployment costs by 50% on average | Amazon Web Services
We are excited to announce a new version of the Amazon SageMaker Operators for Kubernetes using the AWS Controllers for Kubernetes (ACK). ACK is...
Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock – Part 2 | Amazon Web Services
In Part 1 of this series, we presented a solution that used the Amazon Titan Multimodal Embeddings model to convert individual slides from a...
Fujitsu develops technology to convert corporate digital identity credentials, enabling participation of non-European companies in European data spaces
KAWASAKI, Japan, Apr 19, 2024 - (JCN Newswire) - Fujitsu today announced the development of a new technology that will enable Japanese companies to...
Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock | Amazon Web Services
Migrating to the cloud is an essential step for modern organizations aiming to capitalize on the flexibility and scale of cloud resources. Tools like...
Open source observability for AWS Inferentia nodes within Amazon EKS clusters | Amazon Web Services
Recent developments in machine learning (ML) have led to increasingly large models, some of which require hundreds of billions of parameters. Although they are...
Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks | Amazon Web Services
Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process...
Manage your Amazon Lex bot via AWS CloudFormation templates | Amazon Web Services
Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces in...
This Week on Crypto Twitter: SEC Targets Uniswap, Bitcoin Runes Stir Hype – Decrypt
We do the research, you get the alpha!Get exclusive reports and access to key insights on airdrops, NFTs, and more! Subscribe now to Alpha...
Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model | Amazon Web Services
Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and...
Why MLBOMs Are Useful for Securing the AI/ML Supply Chain
COMMENTARYThe days of large, monolithic apps are withering. Today's applications rely on microservices and code reuse, which makes development easier but creates complexity when...
Bitcoin Pups Meme Coin Up 1,000% Ahead of Runes Launch – Decrypt
Bitcoin meme coin Pups is up 1,056% for the week, days before the Bitcoin halving and the concurrent launch of the Runes protocol. Pups...