Will Fed’s Preferred Inflation Gauge Tick Lower In Friday’s Update?
TutoSartup excerpt from this article:
Tomorrow’s update on US inflation for April looks set to tick lower, although the odds aren’t trivial that pricing pressure will remains sticky, according to various forecasts and a review of pricing trends published to date... Disinflation is still intact, based on numbers in hand, but the report scheduled for Friday, May 31, will probably show limited progress on taming inflation... For the ...
Tomorrow’s update on US inflation for April looks set to tick lower, although the odds aren’t trivial that pricing pressure will remains sticky, according to various forecasts and a review of pricing trends published to date... Disinflation is still intact, based on numbers in hand, but the report scheduled for Friday, May 31, will probably show limited progress on taming inflation... For the ...
Macro Briefing: 30 May 2024
TutoSartup excerpt from this article:
* US economy continues expanding, Fed’s Beige Book reports * Extreme heat will slow US growth, San Francisco Fed study predicts * Lingering inflation pressures are preventing Fed from cutting rates * German inflation rises more than forecast ahead of ECB rate decision * US 10yr yield rises above 4.6% for first time in over a month:Recent US stock market gains are heavily reliant on four big t...
* US economy continues expanding, Fed’s Beige Book reports * Extreme heat will slow US growth, San Francisco Fed study predicts * Lingering inflation pressures are preventing Fed from cutting rates * German inflation rises more than forecast ahead of ECB rate decision * US 10yr yield rises above 4.6% for first time in over a month:Recent US stock market gains are heavily reliant on four big t...
Establishing a data perimeter on AWS: Analyze your account activity to evaluate impact and refine controls
TutoSartup excerpt from this article:
A data perimeter on Amazon Web Services (AWS) is a set of preventive controls you can use to help establish a boundary around your data in AWS Organizations... Review the previous posts in the Establishing a data perimeter on AWS series for information about the security objectives and foundational elements needed to define and enforce each perimeter type... In this blog post, we discuss how to u...
A data perimeter on Amazon Web Services (AWS) is a set of preventive controls you can use to help establish a boundary around your data in AWS Organizations... Review the previous posts in the Establishing a data perimeter on AWS series for information about the security objectives and foundational elements needed to define and enforce each perimeter type... In this blog post, we discuss how to u...
AWS analytics services streamline user access to data, permissions setting, and auditing
TutoSartup excerpt from this article:
I am pleased to announce a new use case based on trusted identity propagation, a recently introduced capability of AWS IAM Identity Center... Tableau, a commonly used business intelligence (BI) application, can now propagate end-user identity down to Amazon Redshift... It allows data owners to define access based on real end-user identity... Trusted identity propagation allows applications that ...
I am pleased to announce a new use case based on trusted identity propagation, a recently introduced capability of AWS IAM Identity Center... Tableau, a commonly used business intelligence (BI) application, can now propagate end-user identity down to Amazon Redshift... It allows data owners to define access based on real end-user identity... Trusted identity propagation allows applications that ...
Enhance image search experiences with Amazon Personalize, Amazon OpenSearch Service, and Amazon Titan Multimodal Embeddings in Amazon Bedrock
TutoSartup excerpt from this article:
A variety of different techniques have been used for returning images relevant to search queries... Historically, the idea of creating a joint embedding space to facilitate image captioning or text-to-image search has been of interest to machine learning (ML) practitioners and businesses for quite a while... More recently, however, there has been a trend to use the same techniques used to train po...
A variety of different techniques have been used for returning images relevant to search queries... Historically, the idea of creating a joint embedding space to facilitate image captioning or text-to-image search has been of interest to machine learning (ML) practitioners and businesses for quite a while... More recently, however, there has been a trend to use the same techniques used to train po...
End-to-end LLM training on instance clusters with over 100 nodes using AWS Trainium
TutoSartup excerpt from this article:
To train a model from scratch, a dataset containing trillions of tokens is required... However, training Llama models can be technically challenging, prolonged, and costly... In this post, we show you how to accelerate the full pre-training of LLM models by scaling up to 128 trn1... We share best practices for training LLMs on AWS Trainium, scaling the training on a cluster with over 100 nodes, ...
To train a model from scratch, a dataset containing trillions of tokens is required... However, training Llama models can be technically challenging, prolonged, and costly... In this post, we show you how to accelerate the full pre-training of LLM models by scaling up to 128 trn1... We share best practices for training LLMs on AWS Trainium, scaling the training on a cluster with over 100 nodes, ...
Fine-tune large multimodal models using Amazon SageMaker
TutoSartup excerpt from this article:
Large multimodal models (LMMs) integrate multiple data types into a single model... By combining text data with images and other modalities during training, multimodal models such as Claude3, GPT-4V, and Gemini Pro Vision gain more comprehensive understanding and improved ability to process diverse data types... The multimodal approach allows models to handle a wider range of real-world tasks that...
Large multimodal models (LMMs) integrate multiple data types into a single model... By combining text data with images and other modalities during training, multimodal models such as Claude3, GPT-4V, and Gemini Pro Vision gain more comprehensive understanding and improved ability to process diverse data types... The multimodal approach allows models to handle a wider range of real-world tasks that...