Macro Briefing: 3 May 2024
TutoSartup excerpt from this article:
* Global economy in 2024 will rise 3.1%, matching 2023’s gain, OECD forecasts * Global manufacturing activity holds on to slight expansion in April via PMI survey * US factory orders rose for a second month in March * US labor costs rose sharply in Q1 as worker productivity growth slowed * US jobless claims continue to hold at historically low levels:Policy-sensitive US 2-year Treasury yield ...
* Global economy in 2024 will rise 3.1%, matching 2023’s gain, OECD forecasts * Global manufacturing activity holds on to slight expansion in April via PMI survey * US factory orders rose for a second month in March * US labor costs rose sharply in Q1 as worker productivity growth slowed * US jobless claims continue to hold at historically low levels:Policy-sensitive US 2-year Treasury yield ...
AWS Inferentia and AWS Trainium deliver lowest cost to deploy Llama 3 models in Amazon SageMaker JumpStart
TutoSartup excerpt from this article:
The Meta Llama 3 models are a collection of pre-trained and fine-tuned generative text models... Amazon Elastic Compute Cloud (Amazon EC2) Trn1 and Inf2 instances, powered by AWS Trainium and AWS Inferentia2, provide the most cost-effective way to deploy Llama 3 models on AWS... They not only reduce the time and expense involved in training and deploying large language models (LLMs), but also pro...
The Meta Llama 3 models are a collection of pre-trained and fine-tuned generative text models... Amazon Elastic Compute Cloud (Amazon EC2) Trn1 and Inf2 instances, powered by AWS Trainium and AWS Inferentia2, provide the most cost-effective way to deploy Llama 3 models on AWS... They not only reduce the time and expense involved in training and deploying large language models (LLMs), but also pro...
Revolutionize Customer Satisfaction with tailored reward models for your business on Amazon SageMaker
TutoSartup excerpt from this article:
As more powerful large language models (LLMs) are used to perform a variety of tasks with greater accuracy, the number of applications and services that are being built with generative artificial intelligence (AI) is also growing... This post discusses techniques to align them with company values and build a custom reward model using Amazon SageMaker... This post showcases a reward modeling techn...
As more powerful large language models (LLMs) are used to perform a variety of tasks with greater accuracy, the number of applications and services that are being built with generative artificial intelligence (AI) is also growing... This post discusses techniques to align them with company values and build a custom reward model using Amazon SageMaker... This post showcases a reward modeling techn...
Amazon Personalize launches new recipes supporting larger item catalogs with lower latency
TutoSartup excerpt from this article:
Personalized customer experiences are essential for engaging today’s users... Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise... With the recipes—algorithms for specific uses cases—provided by Amazon Personalize, you can deliver a wide array of person...
Personalized customer experiences are essential for engaging today’s users... Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise... With the recipes—algorithms for specific uses cases—provided by Amazon Personalize, you can deliver a wide array of person...
Get started with Amazon Titan Text Embeddings V2: A new state-of-the-art embeddings model on Amazon Bedrock
TutoSartup excerpt from this article:
In Retrieval Augmented Generation (RAG), embeddings are used to retrieve relevant passages from a corpus to provide context for language models to generate informed, knowledge-grounded responses... As new embedding models are released with incremental quality improvements, organizations must weigh the potential benefits against the associated costs of upgrading, considering factors like computati...
In Retrieval Augmented Generation (RAG), embeddings are used to retrieve relevant passages from a corpus to provide context for language models to generate informed, knowledge-grounded responses... As new embedding models are released with incremental quality improvements, organizations must weigh the potential benefits against the associated costs of upgrading, considering factors like computati...
Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock
TutoSartup excerpt from this article:
Today, we are announcing the availability of MongoDB Atlas as a vector store in Knowledge Bases for Amazon Bedrock... With MongoDB Atlas vector store integration, you can build RAG solutions to securely connect your organization’s private data sources to FMs in Amazon Bedrock... This integration adds to the list of vector stores supported by Knowledge Bases for Amazon Bedrock, including Amazon...
Today, we are announcing the availability of MongoDB Atlas as a vector store in Knowledge Bases for Amazon Bedrock... With MongoDB Atlas vector store integration, you can build RAG solutions to securely connect your organization’s private data sources to FMs in Amazon Bedrock... This integration adds to the list of vector stores supported by Knowledge Bases for Amazon Bedrock, including Amazon...
Total Return Forecasts: Major Asset Classes | 2 May 2024
TutoSartup excerpt from this article:
The long-term return forecast for the Global Market Index (GMI) edged higher for a third straight month in April...0% annualized return for the unmanaged benchmark, which holds all the major asset classes (except cash), according to market weights via a set of ETF proxies...US stocks are still the outlier for expected return among the various asset classes... the realized return over the past de...
The long-term return forecast for the Global Market Index (GMI) edged higher for a third straight month in April...0% annualized return for the unmanaged benchmark, which holds all the major asset classes (except cash), according to market weights via a set of ETF proxies...US stocks are still the outlier for expected return among the various asset classes... the realized return over the past de...