New Questions Emerge On Prospects For A June Rate Cut
TutoSartup excerpt from this article:
Forecasts that the Federal Reserve will start cutting interest rates in June took another hit after Monday’s relatively firm manufacturing-survey data for March...“If the contraction of manufacturing activity is over, far too soon to say, and price pressures are building in manufacturing, which appears to have been happening for the last three months, then this would have implications ...
Forecasts that the Federal Reserve will start cutting interest rates in June took another hit after Monday’s relatively firm manufacturing-survey data for March...“If the contraction of manufacturing activity is over, far too soon to say, and price pressures are building in manufacturing, which appears to have been happening for the last three months, then this would have implications ...
Macro Briefing: 3 April 2024
TutoSartup excerpt from this article:
* Taiwan hit by strongest earthquake in 25 years * Fed officials still expect rate cuts, but not anytime soon * Global manufacturing growth strengthens in March via PMI survey * China manufacturing growth posts strongest pace in 13 months: PMI survey * Eurozone inflation unexpectedly cools to 2...4% in March * Tesla’s sales fall, a sign that’s its share of EV market is slipping * US factory or...
* Taiwan hit by strongest earthquake in 25 years * Fed officials still expect rate cuts, but not anytime soon * Global manufacturing growth strengthens in March via PMI survey * China manufacturing growth posts strongest pace in 13 months: PMI survey * Eurozone inflation unexpectedly cools to 2...4% in March * Tesla’s sales fall, a sign that’s its share of EV market is slipping * US factory or...
Tackle complex reasoning tasks with Mistral Large, now available on Amazon Bedrock
TutoSartup excerpt from this article:
Last month, we announced the availability of two high-performing Mistral AI models, Mistral 7B and Mixtral 8x7B on Amazon Bedrock... Mistral 7B, as the first foundation model of Mistral, supports English text generation tasks with natural coding capabilities... Mixtral 8x7B is a popular, high-quality, sparse Mixture-of-Experts (MoE) model, that is ideal for text summarization, question and answ...
Last month, we announced the availability of two high-performing Mistral AI models, Mistral 7B and Mixtral 8x7B on Amazon Bedrock... Mistral 7B, as the first foundation model of Mistral, supports English text generation tasks with natural coding capabilities... Mixtral 8x7B is a popular, high-quality, sparse Mixture-of-Experts (MoE) model, that is ideal for text summarization, question and answ...
AWS and Mistral AI commit to democratizing generative AI with a strengthened collaboration
TutoSartup excerpt from this article:
To power so many diverse applications, we recognized the need for model diversity and choice for generative AI early on... We know that different models excel in different areas, each with unique strengths tailored to specific use cases, leading us to provide customers with access to multiple state-of-the-art large language models (LLMs) and foundation models (FMs) through a unified service: Ama...
To power so many diverse applications, we recognized the need for model diversity and choice for generative AI early on... We know that different models excel in different areas, each with unique strengths tailored to specific use cases, leading us to provide customers with access to multiple state-of-the-art large language models (LLMs) and foundation models (FMs) through a unified service: Ama...
Introducing AWS Deadline Cloud: Set up a cloud-based render farm in minutes
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As a result, customers increasingly are transitioning to scalable, cloud-based render farms for efficient production instead of a dedicated render farm on-premises, which can require extremely high fixed costs... But, rendering in the cloud still requires customers to manage their own infrastructure, build bespoke tooling to manage costs on a project-by-project basis, and monitor software licens...
As a result, customers increasingly are transitioning to scalable, cloud-based render farms for efficient production instead of a dedicated render farm on-premises, which can require extremely high fixed costs... But, rendering in the cloud still requires customers to manage their own infrastructure, build bespoke tooling to manage costs on a project-by-project basis, and monitor software licens...
Operationalize generative AI applications on AWS: Part I – Overview of LLMOps solution
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With the rising popularity of generative artificial intelligence (AI), companies are exploring foundation models (FMs) and realizing the immediate benefit they provide to their business... FMs are large machine learning models that are pre-trained on vast amounts of data, which can perform many tasks such as text, code, and generate images... As more companies train unique models or fine tune FMs,...
With the rising popularity of generative artificial intelligence (AI), companies are exploring foundation models (FMs) and realizing the immediate benefit they provide to their business... FMs are large machine learning models that are pre-trained on vast amounts of data, which can perform many tasks such as text, code, and generate images... As more companies train unique models or fine tune FMs,...
Gradient makes LLM benchmarking cost-effective and effortless with AWS Inferentia
TutoSartup excerpt from this article:
Evaluating the performance of large language models (LLMs) is an important step of the pre-training and fine-tuning process before deployment... The faster and more frequent you’re able to validate performance, the higher the chances you’ll be able to improve the performance of the model... As part of this process, we regularly evaluate the performance of our models (tuned, trained, and open...
Evaluating the performance of large language models (LLMs) is an important step of the pre-training and fine-tuning process before deployment... The faster and more frequent you’re able to validate performance, the higher the chances you’ll be able to improve the performance of the model... As part of this process, we regularly evaluate the performance of our models (tuned, trained, and open...