#quickest

[lazylittledragon]

let's hear it for women's wrongs

[demigod-of-the-agni]

ninjago fandom when all the art tags get flooded with black & white drawings

[govindhtech]

AWS App Studio: The Quickest & Easiest Way to Develop Apps

App Studio

Amazon Web Services (AWS), a subsidiary of Amazon, unveiled App Studio, a generative artificial intelligence (AI)-powered tool that leverages natural language to construct enterprise-grade applications, at AWS Summit New York. An application that may have taken a professional developer days to design from scratch can be created in just a few minutes by a user by simply describing the programme they want, what they want it to perform, and the data sources they want to link with App Studio.

Its point-and-click interface makes it simple to modify App Studio programmes, and by asking its generative AI-powered assistant for help, users may get quick answers to tasks. App Studio enables technical professionals (like IT project managers, data engineers, and enterprise architects) who lack software development skills to quickly create secure, fully managed AWS internal applications without requiring operational knowledge. This takes care of the tedious work of creating and maintaining apps, freeing users to concentrate on creating applications that aid in solving business issues and boosting productivity in their positions.

Those with some technical skills may now quickly and easily create enterprise-grade applications using App Studio, which was previously limited to professional developers only. The learning curve associated with traditional low-code solutions is eliminated by App Studio’s generative AI-powered assistant, which speeds up the process of creating applications and makes routine tasks like creating processes, testing applications, and UI design easier.

Using a drop-down box, the user can select the precise company data sources that the application should connect to, for instance, and then type a simple question.Users only need to click the “generate data” button to start generating sample data that will demonstrate how their application will process data in real time.

With built-in connectors for AWS (Amazon Aurora, Amazon DynamoDB, and Amazon S3) and Salesforce, as well as hundreds of third-party services (HubSpot, Twilio, and Zendesk) via application programming interface (API) connectors, users can also effortlessly connect their applications to internal data sources. App Studio takes care of all deployment, operations, and maintenance, so customers don’t even need to consider the underlying code. When an application is prepared for deployment, App Studio creates a unique URL that end users may reach with role-based access controls and already-existing enterprise authentication technologies.

“App Studio is a force multiplier for technical staff at any organisation, tailored to suit the demands of the biggest enterprise clients and the fastest-growing startups. Now that users have some technical skills, they can simply describe the application they want to construct using natural language, and App Studio takes care of the development process, delivering a product that workers can use right away. A new era of productivity for companies of all sizes has arrived since it has never been simpler for technical experts to create custom applications suited to the particular requirements of their enterprise.

Every application that is launched using App Studio is incredibly performant, scalable, and secure, freeing up technical professionals to concentrate on innovation instead of managing applications. IT teams can simply monitor usage trends, manage user and data access, and establish safeguards to ensure adherence to a company’s security standards thanks to App Studio’s insight into every application. When compared to competing low-code alternatives, App Studio offers customers an 80% savings because it is free to construct and they only pay for the time employees spend utilising the published applications. In the US West (Oregon), AWS App Studio is now in preview.

Over 28,000 students in 50 locations are assisted by Campus Life & Style in finding a room (and a community) to call home for the academic year. According to Scott Puntenney, national revenue manager at Campus Life & Style, “a team of two were able to build a complete application that streamlines data intake, management, and reporting for their 150-person team with App Studio.”

“AWS use data from their market survey process to identify the next areas where they will build student housing, but this is a labor-intensive, manual process that involves over 150 individuals for data entry, gathering, and validation across numerous spreadsheets, forms, and dashboards. Their project that this data processing application will reduce human error associated with manual data entry by 98% and boost the efficiency of their market survey collection and distribution process by 20%. They now intend to implement App Studio to update their HR and finance data pipelines, as well as make use of more AWS generative AI capabilities to enhance their process management at scale even further.

Leading supplier of audit and assurance, consulting, financial advising, risk advisory, tax, and other services is Deloitte. According to JB McGinnis, US AWS alliance leader at Deloitte Consulting LLP, “App Studio can help their technical employees build secure, scalable applications that streamline tasks and increase operational efficiency in minutes.” “As a worldwide supplier serving brands from all over the world in a variety of industries, their staff have to work with a wide range of clients, each with their own unique tasks and procedures.

AWS technical staff members may take the lead and quickly go from an idea to an application with App Studio, which simplifies tasks for the company as a whole. App Studio apps can effectively scale and adapt to their employees’ demands as teams expand and company objectives change, enabling us to provide greater service to their clients.

In order to facilitate the development of patient journeys and enhance patient outcomes, HealthVerity offers the most extensive healthcare and consumer data ecosystem in the United States. Jeremy Stewart, vice president of engineering at HealthVerity, said, “App Studio opens up low-code tools to their company for the first time, allowing us to leverage their many existing AWS investments and empowering employees to build applications in minutes, instead of days, with the help of its generative AI-powered assistant.” Because the low-code solutions that were already on the market did not satisfy their company’s stringent security requirements, they have had to build all of AWS internal tools from the ground up.

In addition to their daily tasks, a small team of five developers had to handle this infrastructure, which increased their operating expenses and diverted them from their primary duties. AWS staff can concentrate on customer-facing tasks since every application using App Studio is safe and completely controlled by AWS.

High velocity teams can release, track, and improve software as it’s in production with LaunchDarkly. Claire Vo, the chief product officer at LaunchDarkly, stated, “App Studio helps bridge the skills gap so the technical employees most familiar with a business problem are empowered to solve it.The technical staff members best suited to handle these difficulties may now quickly resolve them with a safe, scalable solution that is customised to their issue by reducing the barrier to developing an internal application.

Contact centre agents may access high-productivity services and client self-service through all channels with TrustPortal, an intelligent hyperautomation Software-as-a-Service (SaaS) platform that requires no code. Chris Lamberton, CEO of TrustPortal, stated, “App Studio is a game changer for technical employees to create high-quality, visually appealing, and intuitive business applications.

Its generative AI-powered guidance is available throughout the development process.” AWS developers have little time to build and maintain internal apps because they work with some of the biggest companies in the world today. With App Studio, they can reduce the expense and complexity of creating and managing their own internal tools, freeing up engineers’ time to innovate for their clients.

Read more on govindhtech.com

[rooniearts]

What did Silver and Espio's first interactions look like?

Your art is super expressive btw, absolutely gorgeous

Something like this!

[thereblogmachine]

Sweet-n-Sour Kielbasa This slow cooker recipe combines kielbasa sausage, chili sauce, red currant jelly, and the heat of red pepper flakes to create an appetizer that can double as a main dish in a pinch.

[pangur-and-grim]

remembering that weight lifting class where the coach said "lower yourself to the ground, there is no wrong way to do this" and so I rag-dolled and let my body drop, and then he paused and said "that is the only wrong way to do this."

[rapidhighway]

not sure yet. but no one can stop me from giving like half my sonic gijinkas long bangs so they can look edgy and cool

[cheshirecat-syndrome]

...You're nuts.

[kadinbennett]

Frostings and Icings - Easy German Chocolate Cake Icing To top a German chocolate cake with coconut and pecans, prepare a batch of this simple icing.

[boomposhpow]

i dont think he liked it in there

[osamudaisies]

i just realized that dazai is still hooked to that heart monitor while all this resurrection business is going on lmao

[morganbritton132]

Continuing a bit from this

Because that was a fluke, right?

Steve Harrington sat at their lunch table, asked a bunch of questions, and took notes as some sort of prank, right? It’s never going to happen again. Right?

But he’s there again today (“Fucking hell”) sitting at their table, waving them over when he spots them like, “I was thinking about that depression filter you told me about. Makes no sense.”

“It’s, uh…” Jeff tries, accepting Steve’s offered applesauce. “It’s a perception filter.”

“Ohhh, that makes more sense.”

Steve opens his notebook, marks something out, and writes over it. He looks up like, “About this guy Griffon.”

And that’s how it goes. Steve asks questions. They provide answers. They realize that Steve must have some hearing loss in his left ear and adjust to that. Steve cracks a joke they don’t understand and adjusts to them, and it’s…fun.

Gareth accidentally elbows Steve in the ribs and Steve winces hard because his ribs are still fucked up from the fight. They all think this is over now and things will go back to normal but Steve…apologizes?? For being weird??? To weirdos?

“Oh, god,” Jeff says after lunch, watching Steve and Grant walk off in the same direction. “We have to keep him.”

Gareth sighs, “Eddie is going to hate this.”

[govindhtech]

Claude 3 Haiku: The newest and quickest model from Anthropic

Anthropic Claude

Claude 3 Haiku, fastest model released today by Anthropic

Anthropic are pleased to present Claude 3 Haiku, the quickest and least expensive model in its intelligence class, today. Haiku is a flexible solution with cutting-edge vision capabilities that outperforms competitors in the market for a variety of corporate applications. For their Claude Pro customers, the model is currently accessible on claude.ai and in the Claude API alongside Sonnet and Opus.

For their commercial consumers, speed is crucial since they have to analyze massive information rapidly and provide results on time for things like customer support. For the great majority of workloads, Claude 3 Haiku processes 21K tokens (around 30 pages) per second for prompts with less than 32K tokens, which is three times quicker than its rivals. Additionally, it produces fast output, making it possible to do several little chores simultaneously and have responsive, interesting conversation interactions.

With a 1:5 input-to-output token ratio, Haiku’s pricing model was created for business workloads, which often need lengthier prompts. For half the price of comparable models in its performance tier, businesses can depend on Haiku to swiftly analyze massive numbers of documents, such as contracts, court cases, or quarterly reports. For one US dollar, for example, Claude 3 Haiku can process and evaluate 400 Supreme Court cases or 2,500 photos.

Claude 3 Haiku places a high priority on enterprise-grade security and robustness in addition to speed and cost. We put our models through a thorough testing process to minimize the possibility of negative outcomes and jailbreaks, making them as secure as possible. To safeguard sensitive data, further layers of protection include strict access rules, robust data encryption procedures, secure coding techniques, endpoint hardening, and ongoing system monitoring. In order to proactively find and fix vulnerabilities, they also collaborate with skilled penetration testers and carry out routine security audits. Additional details on these measures are available in the Claude 3 model card.Image credit to Anthropic

Claude 3 Haiku (Currently available)

The smallest and quickest model from Anthropic, with almost instantaneous reaction. It responds quickly to basic questions and requests. 200K maximum tokens

Languages: many more languages in addition to English, Spanish, and Japanese.

Use cases supported: Optimize logistics, inventory management, real-time interaction assistance, translations, content moderation, and knowledge extraction from unstructured data.

Customers may now utilize Claude 3 Haiku on claude.ai or via our API with a Claude Pro subscription. Claude 3 Haiku will soon be accessible on Google Cloud Vertex AI and is now available on Amazon Bedrock.

Anthropic’s Claude 3 Haiku model now on Amazon Bedrock

The goal of Anthropic’s founding was to develop the most advanced and secure big language model available. Anthropic’s cutting-edge, massive language model, Claude, provides crucial aspects including cost, speed, and context window for businesses. Listen to Neerav Kingsland, Anthropic’s Head of Global Accounts, talk about the benefits that organizations worldwide may get from Claude’s availability on Amazon Bedrock.

Anthropic revealed their model family for the Claude 3 foundation last week. Three variants are available in the family: Claude 3 Opus, the most intelligent model for exceptional performance on very complicated jobs; Claude 3 Sonnet, the perfect balance between speed and talents; and Claude 3 Haiku, the quickest and most compact model for almost instantaneous reaction. Additionally, AWS said that Claude 3 Sonnet is now generally available in Amazon Bedrock.

We are pleased to announce that Claude 3 Haiku is now available on Amazon Bedrock. The quickest and most compact model in the Claude 3 family, the Haiku foundation model is meant to respond very instantly and provide smooth, human-like generative artificial intelligence (AI) experiences. For instance, it takes less than three seconds to read a research article with a lot of data on arXiv (around 10,000 tokens) that includes graphs and charts.

You may create almost instantaneous responsive generative AI apps for businesses that need precise and fast targeted performance with Claude 3 Haiku’s availability on Amazon Bedrock. Haiku can comprehend languages other than English, perform image-to-text vision, and has improved steerability in a 200k context frame, much as Sonnet and Opus.

Claude 3 Use Cases for Haiku

Compared to other models in its intelligence category, the Claude 3 Haiku is more intelligent, quicker, and less expensive. It responds to basic questions and requests faster than anybody else. Its quick speed and improved steerability allow you to design AI experiences that realistically mimic human interactions.Image credit to AWS

Claude 3 Haiku may be used in the following scenarios:

Customer interactions: translations, live chat assistance that is prompt and accurate

Content moderation: detect potentially dangerous activity or client requests

Tasks that reduce costs include inventory control, efficient logistics, and quick information extraction from unstructured data.

Claude 3 haiku performing

Select Model access from the bottom left pane of the Amazon Bedrock dashboard if you are new to utilizing Anthropic models. For Claude 3 Haiku, make a separate request for access.

Select Text or Chat from Playgrounds in the left menu window to try Claude 3 Haiku in the console. Next, pick Claude 3 Haiku as the model and Anthropic as the category under pick model.

Select Load examples to try more Claude prompt samples. Examples of Claude 3 Haiku-specific tasks include creating a design brief, advanced Q&A with citations, and creating non-English text. You may browse and use these examples.

By using the Compare mode, you may assess the cognitive and speed differences between the Claude 2.1 and Claude 3 Haiku models by generating customized email answers to client inquiries based on a sample prompt.

You may also use code examples in the AWS SDKs and Command Line Interface (AWS CLI) to access the model by selecting View API request.

Use the new Anthropic Claude Messages API format to submit an API request with Claude 3, enabling more sophisticated interactions like image processing. You should update from the Text Completions API if you utilize the Anthropic Claude Text Completions API.

Currently accessible

Check out the complete Region list for future updates. Claude 3 Haiku is now accessible in the US West (Oregon) Region. More Regions will be added shortly.

The option that saves the most money is Claude 3 Haiku. For instance, Claude 3 Haiku has better levels of intelligence than Claude Instant yet costs up to 68% less per 1,000 input/output tokens.

Read more on govindhtech.com

[senblades]

in a ryomina mood as of late...

[blenselche]

sneepy puppy brothers