Tue.Mar 04, 2025

article thumbnail

Nexla Expands AI-Powered Integration Platform for Enterprise-Grade GenAI

insideBIGDATA

SAN MATEO, Calif., March 04, 2025 — AI-powered integration company Nexla announced a major update to the Nexla Integration Platform, expanding its no-code integration, RAG pipeline engineering, and data governance capabilities with the intent to make enterprise-grade GenAI more accessible.

article thumbnail

Towards Automatic Assessment of Self-Supervised Speech Models Using Rank

Machine Learning Research at Apple

This study explores using embedding rank as an unsupervised evaluation metric for general-purpose speech encoders trained via self-supervised learning (SSL). Traditionally, assessing the performance of these encoders is resource-intensive and requires labeled data from the downstream tasks. Inspired by the vision domain, where embedding rank has shown promise for evaluating image encoders without tuning on labeled downstream data, this work examines its applicability in the speech domain, consid

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Ultimate Guide to Building a Machine Learning Portfolio That Lands Jobs

KDnuggets

In this article, you'll learn how to create a portfolio that stands out.

article thumbnail

Accelerate AWS Well-Architected reviews with Generative AI

Flipboard

Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments.

AWS 164
article thumbnail

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.

article thumbnail

What are Distilled Models?

Analytics Vidhya

We might’ve heard about Deepseek, but have you also observed mentions of Deepseeks distilled models on Ollama? Or perhaps, if you’ve tried Groq Cloud, you might have witnessed similar models. But what exactly are these distil models? In this context, distil stands for distilled versions of the original models released by the organizations.

Analytics 165
article thumbnail

Eerily realistic AI voice demo sparks amazement and discomfort online

Flipboard

In late 2013, the Spike Jonze film Her imagined a future where people would form emotional connections with AI voice assistants. Nearly 12 years later, that fictional premise has veered closer to reality with the release of a new conversational voice model from AI startup Sesame that has left many users both fascinated and unnerved. "I tried the demo, and it was genuinely startling how human it felt," wrote one Hacker News user who tested the system.

AI 181

More Trending

article thumbnail

Dynamic metadata filtering for Amazon Bedrock Knowledge Bases with LangChain

Flipboard

Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. Its a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts. It also provides developers with greater control over the LLMs outputs, including the ability to include citations and manage sensitive information.

AWS 160
article thumbnail

Beyond Training Data: How RAG Lets LLMs Retrieve, Not Guess

Towards AI

Author(s): DarkBones Originally published on Towards AI. Source: Image by the author generated with Flux. Large Language Models (LLMs) like GPT-4 dont actually know anything, they predict words based on old training data. Retrieval-Augmented Generation (RAG) changes that by letting AI pull in fresh, real-world knowledge before answering. RAG enhances LLMs by enabling them to retrieve relevant information from external sources before generating a response.

article thumbnail

Salesforce’s AgentExchange launches with 200+ partners to automate your boring work tasks

Flipboard

Salesforce launches AgentExchange, a new AI marketplace that lets businesses deploy automated AI agents to streamline work, enhance productivity, and tap into the $6 trillion digital labor market.

AI 178
article thumbnail

Holdout data

Dataconomy

Holdout data plays a pivotal role in the world of machine learning, serving as a crucial tool for assessing how well a model can apply learned insights to unseen data. This practice is integral for ensuring that a model doesn’t just memorize training data but can generalize effectively for future predictions. Understanding holdout data is essential for anyone involved in creating and validating machine learning models.

article thumbnail

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.

article thumbnail

Getting Started with Apache Arrow

Analytics Vidhya

Data is at the core of everything, from business decisions to machine learning. But processing large-scale data across different systems is often slow. Constant format conversions add processing time and memory overhead. Traditional row-based storage formats struggle to keep up with modern analytics. This leads to slower computations, higher memory usage, and performance bottlenecks.

article thumbnail

Synthetic data

Dataconomy

Synthetic data is revolutionizing the way we approach data privacy and analysis across various industries. By creating artificial datasets that mimic real-world statistics without compromising personal information, organizations can harness the power of data while adhering to stringent privacy regulations. This innovative approach is transforming applications in machine learning, healthcare, financial services, and software testing, offering groundbreaking solutions to complex data challenges.

article thumbnail

Using GPT-4.5 Without a $200 Subscription

KDnuggets

Discover the easiest and most affordable way to use and experience the new GPT-4.5 model on the OpenAI platform.

188
188
article thumbnail

LLM Testing

Dataconomy

LLM Testing is a critical part of developing Large Language Models, ensuring they perform to expectations in real-world applications. As AI continues to evolve, understanding the nuances of testing these complex systems becomes essential. In this article, well explore what LLM Testing entails, the importance of rigorous testing methods, and the various strategies used to gauge the effectiveness of AI models.

AI 91
article thumbnail

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

article thumbnail

Judge denies Musk's attempt to block OpenAI from becoming for-profit entity

Flipboard

A Judge in California on Tuesday said Elon Musk can't move forward in his legal efforts to stop OpenAI from converting to a for-profit entity.

article thumbnail

Context window in large language models (LLMs)

Dataconomy

The context window in large language models (LLMs) plays a critical role in shaping how these models interpret and generate text. By providing a span of surrounding text, the context window allows LLMs to generate coherent responses grounded in the input’s semantics. With advancements in model architectures, the significance of context windows has grown, especially regarding performance, document summarization, and user interactions.

AI 91
article thumbnail

Federal workers ordered to return to offices without desks, Wi-Fi and lights

Hacker News

Millions of federal workers were ordered to return to offices across the country in recent weeks, marking an end to Covid-era rules allowing more flexibility to work from home. Many have come back to workplaces that werent ready for them.

181
181
article thumbnail

M3 iPad Air (2025) vs M2 iPad Air (2024) vs M1 iPad Air (2022)

Dataconomy

Apples iPad Air lineup has seen three major iterations in the past three years, with the M1 iPad Air launching in 2022, the M2 iPad Air arriving in 2024, and now the M3 iPad Air in 2025. While the design remains largely unchanged, each generation has brought significant internal upgrades. If you’re wondering how the latest M3 iPad Air stacks up against its predecessors, heres a detailed comparison.

ML 91
article thumbnail

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.

article thumbnail

Brother may be locking out 3rd party printer cartridge via forced firmware upd

Hacker News

Right to repair crusader Louis Rossmann has shared a new video encapsulating his surprise, and disappointment, that Brother has morphed into an 'anti-consumer printer company.

181
181
article thumbnail

Apple unveils 2025 iPad Air with M3 chip: Specs, price and release date

Dataconomy

Apple has officially introduced the latest iteration of the iPad Air, now powered by the M3 chip. This update comes less than a year after the M2 iPad Air was released in May 2024. While the design remains unchanged, the new model brings performance enhancements and continues to offer two size options: 11-inch and 13-inch. 2025 iPad Air: Specs At its core, the 2025 iPad Air is a chip refresh , with the M3 replacing the M2.

AI 91
article thumbnail

This Scientist Left OpenAI Last Year. His Startup Is Already Worth $30 Billion.

Flipboard

Safe Superintelligence has become one of the most valuable companies in tech thanks to the reputation of former OpenAI researcher Ilya Sutskever Silicon Valleys hottest investment isnt a new app or hardware product. Its one man.

AI 181
article thumbnail

Transformer neural networks

Dataconomy

Transformer Neural Networks have revolutionized the way we process and understand sequential data, particularly in natural language processing (NLP). Unlike traditional models, which often struggle with context and long-range dependencies, transformers utilize a unique structure that allows for a more nuanced understanding of data relationships. Their remarkable efficiency and effectiveness in handling various tasksfrom language translation to text generationhave made them a cornerstone of moder

article thumbnail

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

article thumbnail

A Student Used AI to Beat Amazon’s Brutal Technical Interview. He Got an Offer and Someone Tattled to His University

Flipboard

Roy Lee built an AI system that bypasses FAANG's brutal technical interviews and says that the work of most programmers will be obsolete in two years.

AI 181
article thumbnail

The 10 biggest cybersecurity trends to follow in 2025

Dataconomy

The cybersecurity landscape continues to evolve rapidly, driven by advancements in technology, increased cyber threats, and stricter regulations. And with 2025 around the corner, the stakes are higher than ever. One report by Cybersecurity Ventures tells the story of a cybersecurity space entering into critical times, noting that cybercrime is expected to cost the global economy $10.5 trillion annually by 2025.

article thumbnail

Judge rejects Musk’s attempt to block OpenAI’s for-profit transition

Flipboard

A federal judge in Northern California denied Elon Musks motion for an injunction that would have halted OpenAIs planned transition into a for-profit company, Bloomberg reported. Musk failed to provide enough evidence necessary for an injunction, U.S.

article thumbnail

Curiosity AI

Dataconomy

Curiosity Artificial Intelligence (Curiosity AI) is at the forefront of a transformative shift in the capabilities of machines. This innovative approach to AI replicates one of humanity’s most fundamental traitsthe desire to learn and explore. By embedding curiosity into algorithms, we can develop AI systems that not only process data but also actively seek out knowledge gaps, enhancing their learning and decision-making capabilities in unprecedented ways.

AI 91
article thumbnail

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.

article thumbnail

Apple introduces iPad Air with powerful M3 chip and new Magic Keyboard

Hacker News

Apple today introduced the new iPad Air, powered by the M3 chip and built for Apple Intelligence.

181
181
article thumbnail

Data mining

Dataconomy

Data mining is a fascinating field that blends statistical techniques, machine learning, and database systems to reveal insights hidden within vast amounts of data. Businesses across various sectors are leveraging data mining to gain a competitive edge, improve decision-making, and optimize operations. This article delves into the essential components of data mining, highlighting its processes, techniques, tools, and applications.

article thumbnail

“Wooly mice” a test run for mammoth gene editing

Hacker News

On Tuesday, the team behind the plan to bring mammoth-like animals back to the tundra announced the creation of what it is calling wooly mice, which have long fur reminiscent of the woolly mammoth. The long fur was created through the simultaneous editing of as many as seven genes, all with a known connection to hair growth, color, and/or texture. But don't think that this is a sort of mouse-mammoth hybrid.

180
180
article thumbnail

SENSEI: The AI that explores like a curious child

Dataconomy

Artificial intelligence has long struggled with a fundamental problem: how can an AI explore its environment intelligently without explicit instructions? Traditional reinforcement learning (RL) relies on trial and error , often wasting vast amounts of time interacting randomly with its surroundings. While AI models can be trained to solve specific tasks efficiently, getting them to explore new environments meaningfullywithout predefined goalshas been a major challenge.

AI 91
article thumbnail

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?