
Indian Supreme court rejects crypto petition, highlights legislative nature
TutoSartup excerpt from this article:
The Indian Supreme Court declined to consider a Public Interest Litigation (PIL) that aimed to establish regulations and a framework of guidelines for cryptocurrency trading in India... The Supreme Court noted that despite the petitioner filing a PIL requesting regulations and guidelines for cryptocurrency and its trading, the underlying objective is to secure bail...Signific...
The Indian Supreme Court declined to consider a Public Interest Litigation (PIL) that aimed to establish regulations and a framework of guidelines for cryptocurrency trading in India... The Supreme Court noted that despite the petitioner filing a PIL requesting regulations and guidelines for cryptocurrency and its trading, the underlying objective is to secure bail...Signific...

Build trust and safety for generative AI applications with Amazon Comprehend and LangChain
TutoSartup excerpt from this article:
We also delve deeper into how these new moderation capabilities are utilized with the popular generative AI development framework LangChain to introduce a customizable trust and safety mechanism for your use case... In the realm of trust and safety, content moderation is a mechanism that addresses various aspects, including but not limited to: Privacy – Users can inadvertently provide text...
We also delve deeper into how these new moderation capabilities are utilized with the popular generative AI development framework LangChain to introduce a customizable trust and safety mechanism for your use case... In the realm of trust and safety, content moderation is a mechanism that addresses various aspects, including but not limited to: Privacy – Users can inadvertently provide text...

Use machine learning without writing a single line of code with Amazon SageMaker Canvas
TutoSartup excerpt from this article:
In the recent past, using machine learning (ML) to make predictions, especially for data in the form of text and images, required extensive ML knowledge for creating and tuning of deep learning models... These capabilities include pre-trained models for image, text, and document data types... Image data SageMaker Canvas provides a visual, no-code interface that makes it straightforward for you...
In the recent past, using machine learning (ML) to make predictions, especially for data in the form of text and images, required extensive ML knowledge for creating and tuning of deep learning models... These capabilities include pre-trained models for image, text, and document data types... Image data SageMaker Canvas provides a visual, no-code interface that makes it straightforward for you...

Explore advanced techniques for hyperparameter optimization with Amazon SageMaker Automatic Model Tuning
TutoSartup excerpt from this article:
Creating high-performance machine learning (ML) solutions relies on exploring and optimizing training parameters, also known as hyperparameters... Hyperparameters are the knobs and levers that we use to adjust the training process, such as learning rate, batch size, regularization strength, and others, depending on the specific model and task at hand... Exploring hyperparameters involves systemati...
Creating high-performance machine learning (ML) solutions relies on exploring and optimizing training parameters, also known as hyperparameters... Hyperparameters are the knobs and levers that we use to adjust the training process, such as learning rate, batch size, regularization strength, and others, depending on the specific model and task at hand... Exploring hyperparameters involves systemati...
New for Amazon SQS – Update the AWS SDK to reduce latency
TutoSartup excerpt from this article:
In fact, Amazon SQS has been generally available since July 2006 and, under the hood, has always used the same wire protocol based on XML that we call AWS Query protocol... Today, I am happy to announce that Amazon SQS now supports a JSON-based wire protocol for all APIs... The AWS JSON protocol avoids many of the shortcomings of AWS Query protocol... AWS JSON is more efficient than the previou...
In fact, Amazon SQS has been generally available since July 2006 and, under the hood, has always used the same wire protocol based on XML that we call AWS Query protocol... Today, I am happy to announce that Amazon SQS now supports a JSON-based wire protocol for all APIs... The AWS JSON protocol avoids many of the shortcomings of AWS Query protocol... AWS JSON is more efficient than the previou...

New – Block Public Sharing of Amazon EBS Snapshots
TutoSartup excerpt from this article:
You now have the ability to disable public sharing of new, and optionally existing, Amazon Elastic Block Store (Amazon EBS) snapshots on a per-region, per-account basis... EBS Snapshot Review You have had the power to create EBS snapshots since the launch of EBS in 2008, and have been able to share them privately or publicly since 2009... Software vendors use public snapshots to share trial-use s...
You now have the ability to disable public sharing of new, and optionally existing, Amazon Elastic Block Store (Amazon EBS) snapshots on a per-region, per-account basis... EBS Snapshot Review You have had the power to create EBS snapshots since the launch of EBS in 2008, and have been able to share them privately or publicly since 2009... Software vendors use public snapshots to share trial-use s...

New for Amazon Comprehend – Toxicity Detection
TutoSartup excerpt from this article:
Today, we are adding the capability to detect toxic content... For example, you can use toxicity detection to improve the safety of applications open to external contributions such as comments... When using generative AI, toxicity detection can be used to check the input prompts and the output responses from large language models (LLMs)... You can use toxicity detection with the AWS Command Lin...
Today, we are adding the capability to detect toxic content... For example, you can use toxicity detection to improve the safety of applications open to external contributions such as comments... When using generative AI, toxicity detection can be used to check the input prompts and the output responses from large language models (LLMs)... You can use toxicity detection with the AWS Command Lin...