Tue.Nov 26, 2024

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Which IDEs do software engineers love, and why?

Flipboard

It’s been nearly 6 months since our research into which AI tools software engineers use, in the mini-series, AI tooling for software engineers: reality check. At the time, the most popular tools were ChatGPT for LLMs, and GitHub copilot for IDE-integrated tooling. Then this summer, I saw the Cursor IDE becoming popular around when Anthropic’s Sonnet 3.5 model was released, which has superior code generation compared to ChatGPT.

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Embrace Innovation While Reducing Risk: The Three Steps to AI-grade Data at Scale

insideBIGDATA

In this contributed article, Kunju Kashalikar, Senior Director of Product Management at Pentaho, discusses how to dream big without the risk: three steps to AI-grade data. The industry adage of ‘garbage-in-garbage-out' has never been more applicable than now. Clean, accurate data is the key to winning the AI race - but leaving the starting blocks is the challenge for most.

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How to Choose Best ML Model for your Usecase?

Analytics Vidhya

Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater precision. However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging. Whether you’re working on a classification task, predicting trends, or building a recommendation […] The post How to Choose Best ML Model for your Usecase?

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Build a read-through semantic cache with Amazon OpenSearch Serverless and Amazon Bedrock

AWS Machine Learning Blog

In the field of generative AI , latency and cost pose significant challenges. The commonly used large language models (LLMs) often process text sequentially, predicting one token at a time in an autoregressive manner. This approach can introduce delays, resulting in less-than-ideal user experiences. Additionally, the growing demand for AI-powered applications has led to a high volume of calls to these LLMs, potentially exceeding budget constraints and creating financial pressures for organizatio

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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I Tried AISuite by AndrewNg, and It is GREAT!

Analytics Vidhya

Andrew Ng recently released AISuite, an open-source Python package designed to streamline the use of large language models (LLMs) across multiple providers. This innovative tool simplifies the complexities of working with diverse LLMs by allowing seamless switching between models with a simple “provider:model” string. By significantly reducing integration overhead, AISuite enhances flexibility and accelerates application […] The post I Tried AISuite by AndrewNg, and It is GREAT

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Enhanced observability for AWS Trainium and AWS Inferentia with Datadog

AWS Machine Learning Blog

This post is co-written with Curtis Maher and Anjali Thatte from Datadog. This post walks you through Datadog’s new integration with AWS Neuron , which helps you monitor your AWS Trainium and AWS Inferentia instances by providing deep observability into resource utilization, model execution performance, latency, and real-time infrastructure health, enabling you to optimize machine learning (ML) workloads and achieve high-performance at scale.

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Deploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM

AWS Machine Learning Blog

With the rise of large language models (LLMs) like Meta Llama 3.1, there is an increasing need for scalable, reliable, and cost-effective solutions to deploy and serve these models. AWS Trainium and AWS Inferentia based instances, combined with Amazon Elastic Kubernetes Service (Amazon EKS), provide a performant and low cost framework to run LLMs efficiently in a containerized environment.

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Getting Started with Redis: Installation and Setup Guide

KDnuggets

Redis is an open-source in-memory data structure storage known for its excellent speed and scalability. This guide provides a comprehensive overview of installing and setting up Redis on various operating systems, including Linux, Windows, and macOS.

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Rad AI reduces real-time inference latency by 50% using Amazon SageMaker

AWS Machine Learning Blog

This post is co-written with Ken Kao and Hasan Ali Demirci from Rad AI. Rad AI has reshaped radiology reporting, developing solutions that streamline the most tedious and repetitive tasks, and saving radiologists’ time. Since 2018, using state-of-the-art proprietary and open source large language models (LLMs), our flagship product— Rad AI Impressions — has significantly reduced the time radiologists spend dictating reports, by generating Impression sections.

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Build an Autonomous AI Assistant with Mosaic AI Agent Framework

databricks

Large language models are revolutionizing how we interact with technology by leveraging advanced natural language processing to perform complex tasks. In recent years.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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How Crexi achieved ML models deployment on AWS at scale and boosted efficiency

AWS Machine Learning Blog

This post is co-written with Isaac Smothers and James Healy-Mirkovich from Crexi. With the current demand for AI and machine learning (AI/ML) solutions, the processes to train and deploy models and scale inference are crucial to business success. Even though AI/ML and especially generative AI progress is rapid, machine learning operations (MLOps) tooling is continuously evolving to keep pace.

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Chinese iPhone users could wait longer for Apple Intelligence

Dataconomy

Apple is grappling with regulatory hurdles as it seeks to launch Apple Intelligence in China. A Financial Times report highlights that the approval process for foreign AI technologies in the country is complex and lengthy unless companies partner with local entities. Apple aims to incorporate its AI features in devices sold in mainland China while adhering to local regulations.

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AWS AI Data Lead: Pushing Past Prototypes In Generative AI

Adrian Bridgwater for Forbes

VP for AI & data at AWS, Swami Sivasubramanian says that as generative AI now moves to production systems, adopters are reaping rewards like accelerated productivity.

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How automated workflows are revolutionizing the manufacturing industry

databricks

For today’s manufacturers, streamlined and automated workflows are crucial for overcoming challenges such as manual data management and equipment downtime. By leveraging automated.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Serving LLMs using vLLM and Amazon EC2 instances with AWS AI chips

AWS Machine Learning Blog

The use of large language models (LLMs) and generative AI has exploded over the last year. With the release of powerful publicly available foundation models, tools for training, fine tuning and hosting your own LLM have also become democratized. Using vLLM on AWS Trainium and Inferentia makes it possible to host LLMs for high performance inference and scalability.

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Educating a New Generation of Workers

O'Reilly Media

There is a crisis in technical education. The golden road to a career has always been through a college education. However, this “golden road” has developed deep cracks and is badly in need of maintenance. Postsecondary education is rapidly becoming unaffordable, even at public colleges and universities. Tuition has risen at a rate 50% greater than inflation.

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Neuralink’s brain chip brings hope to paralysis patients

Dataconomy

Neuralink has received approval to begin a feasibility study for its brain implant technology aimed at enabling individuals with quadriplegia to control external devices through thought. The study, known as PRIME, will assess the safety of Neuralink’s wireless brain-computer interface (BCI) and surgical robot. The company will also test its investigational assistive robotic arm alongside the N1 Implant.

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Using LLMs to fortify cyber defenses: Sophos’s insight on strategies for using LLMs with Amazon Bedrock and Amazon SageMaker

AWS Machine Learning Blog

This post is co-written with Adarsh Kyadige and Salma Taoufiq from Sophos. As a leader in cutting-edge cybersecurity, Sophos is dedicated to safeguarding over 500,000 organizations and millions of customers across more than 150 countries. By harnessing the power of threat intelligence, machine learning (ML), and artificial intelligence (AI), Sophos delivers a comprehensive range of advanced products and services.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Guide to Booleans in Python

Analytics Vidhya

Boolean values are the primary imperative of making decisions in Python as statements allow programs to make decisions and then pursue specific actions. In fact, no matter where you are in your code and whether you are testing for the existence of a file, confirming user input, or building your logic within applications, getting to […] The post Guide to Booleans in Python appeared first on Analytics Vidhya.

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Unleash your Salesforce data using the Amazon Q Salesforce Online connector

AWS Machine Learning Blog

Thousands of companies worldwide use Salesforce to manage their sales, marketing, customer service, and other business operations. The Salesforce cloud-based platform centralizes customer information and interactions across the organization, providing sales reps, marketers, and support agents with a unified 360-degree view of each customer. With Salesforce at the heart of their business, companies accumulate vast amounts of customer data within the platform over time.

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Kinesis Network Launches Serverless Feature to Solve Critical Computing Power Shortage for AI-Infrastructure

insideBIGDATA

Kinesis Network, a global compute optimization platform, announced a new serverless feature enabling enterprises to run workloads across a dynamic, multi-cloud environment.

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Apply Amazon SageMaker Studio lifecycle configurations using AWS CDK

AWS Machine Learning Blog

This post serves as a step-by-step guide on how to set up lifecycle configurations for your Amazon SageMaker Studio domains. With lifecycle configurations, system administrators can apply automated controls to their SageMaker Studio domains and their users. We cover core concepts of SageMaker Studio and provide code examples of how to apply lifecycle configuration to your SageMaker Studio domain to automate behaviors such as preinstallation of libraries and automated shutdown of idle kernels.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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OpenAI gets new $1.5 billion investment from SoftBank, allowing employees to sell shares in a tender offer

Flipboard

OpenAI is allowing employees to sell roughly $1.5 billion worth of shares in a new tender offer to SoftBank, CNBC has learned.

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Read graphs, diagrams, tables, and scanned pages using multimodal prompts in Amazon Bedrock

AWS Machine Learning Blog

Large language models (LLMs) have come a long way from being able to read only text to now being able to read and understand graphs, diagrams, tables, and images. In this post, we discuss how to use LLMs from Amazon Bedrock to not only extract text, but also understand information available in images. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI

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A Revolution in How Robots Learn

Hacker News

A future generation of robots will not be programmed to complete specific tasks. Instead, they will use A.I. to teach themselves.

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OpenAI’s Sora video generator appears to have leaked

Flipboard

A group appears to have leaked access to Sora, OpenAI’s video generator, in protest of what they’re calling duplicity and “art washing” on OpenAI’s part.

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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Speaker: Yohan Lobo and Dennis Street

In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.

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Scientists are learning why ultra-processed foods are bad

Hacker News

A mystery is finally being solved

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How AI is saving billions of years of human research time

Flipboard

Can AI compress the yearslong research time of a PhD into seconds?

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Teen Mathematicians Tie Knots Through a Mind-Blowing Fractal

Hacker News

Three high schoolers and their mentor revisited a century-old theorem to prove that all knots can be found in a fractal called the Menger sponge.

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Inflection CEO says it’s done trying to make next generation AI models

Flipboard

Just last year, Inflection AI was as hot as a startup could be, releasing best-in-class AI models it claimed could outperform technology from OpenAI, Meta, and Google.

AI 180
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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?