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Large language models (LLMs) have transformed the digital landscape for modern-day businesses. The benefits of LLMs have led to their increased integration into businesses. While you strive to develop a suitable position for your organization in today’s online market, LLMs can assist you in the process. LLM companies play a central role in making these large language models accessible to relevant businesses and users within the digital landscape.
Introduction Google Sheets is one of the most popular and widely used alternatives to Excel. Its collaborative environment offers features such as real-time editing, and version control, and its tight integration with Google Suite which allows you to call Google Sheets in Google Docs, helps to bring the best of the Google workspace. You can […] The post How to Automate Google Sheets?
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!
We are excited to announce the addition of three new integrations in Databricks Partner Connect—a centralized hub that allows you to integrate partner.
The Active Archive Alliance today released a special report, “How Active Archives Support Modern AI Strategies.” New artificial intelligence (AI) workflows are creating massive and persistent volumes of data that necessitate long-term retention and protection. Active archives help make AI workflow data easily accessible, searchable and retrievable on whatever storage platform or media it resides.
Vizard.ai, a new AI-powered tool, offers an easy solution to a common problem. Let’s say you’re a YouTuber and you have long, long videos. But you don’t have time to extract content to YouTube Short. That’s where Vizard.ai comes in. It extracts short snippets from your long videos, creates subtitles, creates content, and even adapts to the format of the platform you’re uploading to.
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.
Introduction Suppose you are interacting with a friend who is knowledgeable but at times lacks concrete/informed responses or when he/she does not respond fluently when faced with complicated questions. What we are doing here is similar to the prospects that currently exist with Large Language Models. They are very helpful, although their quality and relevance […] The post Enhancing LLMs with Structured Outputs and Function Calling appeared first on Analytics Vidhya.
In recent years, end-to-end automatic speech recognition (ASR) systems have proven themselves remarkably accurate and performant, but these systems still have a significant error rate for entity names which appear infrequently in their training data. In parallel to the rise of end-to-end ASR systems, large language models (LLMs) have proven to be a versatile tool for various natural language processing (NLP) tasks.
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.
There is such a high degree of inherent movement within the data universe, so an entire sub-sector of the IT industry has developed to oversee its management.
Pingora handles 35M+ requests per second, so saving a few microseconds per request can translate to thousands of dollars saved on computing costs. In this post, we share how we freed up over 500 CPU cores by optimizing one function and announce trie-hard, the open source crate that we created to do it.
For The Washington Post, Anahad O’Connor and Aaron Steckelberg show the contrast between making unrefined avocado oil, which is more natural, and refined avocado oil, which is more processed. The former is more like pressing a bunch of avocados, whereas the latter is, well, more involved and uses unnatural ingredients. Mostly, I am here for the anthropomorphized seeds, but now I also wonder where the rest of my cooking oils come from.
(with thanks to René Zandbergen, Ray Clemens, Roger Easton, Claire Bowern, Bill Endres, and the curatorial and conservation staff at the Beinecke Rare Book & Manuscript Library) I have some exciting news for all of you Voynich fans! But first, some background about multispectral imaging.
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie There were plenty of LLM developments again this week, including a new Agent coding product from Replit, an Enterprise LLM platform with a 500k Claude context window at Anthropic, a new Deepseek 2.5 model, and a $1bn seed fundraising by Ilya Sutskever for his new startup.
For those who work in the space world, you’ll know only too well about the growing demands for precision and reliability. This goes for every aspect of production. To meet such challenges, space startups are turning to specialist software to keep on top of things. These tools offer a wealth of benefits. From enhancing precision required in spacecraft production to elevating efficiency across the board.
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.
This post is co-written with Francisco Azuaje from Genomics England. Genomics England analyzes sequenced genomes for The National Health Service (NHS) in the United Kingdom, and then equips researchers to use data to advance biological research. As part of its goal to help people live longer, healthier lives, Genomics England is interested in facilitating more accurate identification of cancer subtypes and severity, using machine learning (ML).
A recent article in Computerworld argued that the output from generative AI systems, like GPT and Gemini, isn’t as good as it used to be. It isn’t the first time I’ve heard this complaint, though I don’t know how widely held that opinion is. But I wonder: is it correct? And why? I think a few things are happening in the AI world. First, developers of AI systems are trying to improve the output of their systems.
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
Understanding who is speaking when in a given audio recording is critical in extracting useful information from audio recordings and providing valuable end-user experiences. Speaker diarization is a technique used to obtain this information. It works by partitioning an audio file into homogeneous segments, or "utterances", according to speaker identity.
As the holiday season approaches, the retail landscape is poised for a significant shift. For retailers, this period is about more than just managing the influx of shoppers; it is about seizing the opportunity to meet customers’ needs and exceed their expectations. With analysis from PlaceIQ’s audiences for the 2024 holiday season, retailers can strategically position themselves to enhance customer engagement and loyalty during the most crucial shopping window of the year.
Using images captured by the European Space Agency’s Mars Express spacecraft, researchers have created a cloud atlas of Mars, to better understand the climate of the Red Planet
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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