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Introduction Computing square root is a critical concept in mathematics and within this programming language one is able to embark on this basic computation in a very simple and efficient manner. Whether you’re involved in an experiment, simulations, data analysis or using machine learning, calculating square roots in Python is crucial. In this guide, you […] The post Python Square Root appeared first on Analytics Vidhya.
Cloudflare, Inc. (NYSE: NET), a leading connectivity cloud company, announced powerful new capabilities for Workers AI, the serverless AI platform, and its suite of AI application building blocks, to help developers build faster, more powerful and more performant AI applications. Applications built on Workers AI can now benefit from faster inference, bigger models, improved performance analytics, and more.
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
Recent advancements in Large Language Models (LLMs) have sparked interest in their formal reasoning capabilities, particularly in mathematics. The GSM8K benchmark is widely used to assess the mathematical reasoning of models on grade-school-level questions. While the performance of LLMs on GSM8K has significantly improved in recent years, it remains unclear whether their mathematical reasoning capabilities have genuinely advanced, raising questions about the reliability of the reported metrics.
Pramata, a leading end-to-end contract management platform, announced a new strategic alliance with Deloitte. The organizations’ mutual clients can leverage Pramata’s simple, Generative AI-powered contract management and analytics solution with Deloitte’s corporate Risk, Regulatory, and Forensic advisory services to increase visibility into contract data and hierarchies that can span multiple systems and business units.
In the world of enterprise software application development and systems management, prudent organizations always put user and data security and safety at the forefront.
In this contributed article, Molly Lebowitz, Senior Director, Propeller, believes that for successful enterprise AI adoption, leaders must balance top-down decision-making with grassroots experimentation. A centralized engine to link the two will allow organizations to prioritize and centralize around high-value AI use cases while surfacing innovative new uses for AI.
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?
We consistently hear from our customers that one of the headwinds to transitioning Generative AI applications from pilot to production is the accuracy.
In this contributed article, Vall Herard, CEO of Saifr.ai, points out that by augmenting human expertise with machine precision, AI is dramatically boosting the efficacy, efficiency, and scale of AML and KYC solutions.
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Today, we are excited to announce the general availability of Databricks Assistant Autocomplete on all cloud platforms. Assistant Autocomplete provides personalized AI-powered code.
Machine Translation (MT) enables people to connect with others and engage with content across language barriers. Grammatical gender presents a difficult challenge for these systems, as some languages require specificity for terms that can be ambiguous or neutral in other languages. For example, when translating the English word "nurse" into Spanish, one must decide whether the feminine "enfermera" or the masculine "enfermero" is appropriate.
While the deployment of big data analytics in the legal business has matured, the encroaching spectre of artificial intelligence hasn’t gone unnoticed.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
We are announcing the General Availability of Provider Usage Analytics for Databricks Marketplace providers. This feature lets you analyze lead generation and product.
Introduction Agentic AI is an exciting concept! It’s all about creating AI that can work on its own, without us constantly telling it what to do. Think of it like having a super-smart assistant; it doesn’t just sit there waiting for orders, but predicts what you need and gets it done. This idea is getting […] The post What do Top Leaders have to Say About Agentic AI?
What started as a race to dominate language models with GPT and LLaMA is now moving into a new dimension: video. OpenAI and Meta, two of the biggest names in AI, are taking their competition beyond text and images into the realm of video generation. OpenAI’s Sora AI and Meta’s Movie Gen are leading this shift, offering the power to create entire scenes with just a few words.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
There are many free datasets online that help you practice and learn. These datasets allow you to try different machine learning techniques and improve your skills. You can find these datasets on platforms like Kaggle and UCI Machine Learning Repository. Here are five free datasets that can help you start your machine learning projects. 1.
We present a foundation model for zero-shot metric monocular depth estimation. Our model, Depth Pro, synthesizes high-resolution depth maps with unparalleled sharpness and high-frequency details. The predictions are metric, with absolute scale, without relying on the availability of metadata such as camera intrinsics. And the model is fast, producing a 2.25-megapixel depth map in 0.3 seconds on a standard GPU.
With Hugging Face become prominent than ever, learning how to use the Transformers library with popular deep-learning frameworks would improve your career.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Today at the Advancing AI event in San Francisco, AMD announced the latest AI and high-performance computing solutions, including the 5th Gen AMD EPYC and AMD Instinct MI325X accelerators and processors, alongside leading customers and partners including Microsoft, OpenAI, Meta, Oracle, Google Cloud and more.
Introduction Generative AI is experiencing an incredible boom, and it’s no longer just a tech-centric topic. It has caught the eye of top business leaders and is now a tool in the C-suite’s arsenal. As organizations deploy Generative AI in their workflows, it is crucial for them to evaluate if this technology is delivering the […] The post How to Measure the ROI of GenAI Investments?
NotebookLM makes it easy to create study guides from YouTube videos by using AI to summarize and organize key points. Just upload the video link, and the tool helps you turn the content into a structured guide.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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