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The Databricks Generative AI Startup Challenge offers $1M+ in prizes for innovative startups building Generative AI use cases on Databricks. Apply by November 1, 2024!
Medical imaging has been revolutionized by the adoption of deep learning techniques. The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning. By harnessing neural networks, deep learning algorithms are able.
Introduction Large Language Models (LLMs) contributed to the progress of Natural Language Processing (NLP), but they also raised some important questions about computational efficiency. These models have become too large, so the training and inference cost is no longer within reasonable limits. To address this, the Chinchilla Scaling Law, introduced by Hoffmann et al. in […] The post What is the Chinchilla Scaling Law?
Versioning Best Practices for Data Science Projects As I have mentioned, this article assumes you have basic versioning knowledge. You don’t necessarily need to be adept at it, but at least you already have a Git version tool in the environment. If you haven’t, please follow the instructions for installation on the Git website.
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 Have you ever wished you could simply chat with your database, asking questions in plain language and getting instant, relevant answers? Imagine the possibilities – no more complex SQL queries or digging through spreadsheets. Well, with the power of LangChain and its new SQL toolkit, that’s exactly what you can do! Diving into the […] The post Building a Conversational AI SQL Assistant with LangChain, GROQ, and Streamlit appeared first on Analytics Vidhya.
Feature engineering helps make models work better. It involves selecting and modifying data to improve predictions. This article explains feature engineering and how to use it to get better results. What is Feature Engineering? Raw data is often messy and not ready for predictions. Features are important details in your data. They help the model […] The post The Concise Guide to Feature Engineering for Better Model Performance appeared first on MachineLearningMastery.com.
At Databricks, we know that data is one of your most valuable assets. Our product and security teams work together to deliver an enterprise-grade Data Intelligence Platform that enables you to defend against security risks and meet your compliance obligations. In this blog, we'll explain how you can leverage our platform's security features to establish a robust defense-in-depth posture that protects your data and AI assets from risks.
At Databricks, we know that data is one of your most valuable assets. Our product and security teams work together to deliver an enterprise-grade Data Intelligence Platform that enables you to defend against security risks and meet your compliance obligations. In this blog, we'll explain how you can leverage our platform's security features to establish a robust defense-in-depth posture that protects your data and AI assets from risks.
Heaps and heaps of new technology are entering the market, and these new tools and software are making our lives easier. However, although our day-to-day tasks have become easier, there has been an increase in the number of cyber threats. There is a need for the right people to come in and identify and mitigate.
Introduction Hey there, Coding ninja! What coding-related tasks do you have planned for the day? Before you dive further into this blog, I want you to think about all your coding-related woes—better list those down. Done? – Let’s get started Now! Imagine being a software developer in the 2000s. The entire coding process required many […] The post 10 Generative AI Coding Extensions in VS Code You Must Explore appeared first on Analytics Vidhya.
Transformer models, the backbone of modern language AI, rely on the attention mechanism to process context when generating output. During inference, the attention.
Introduction In 2022, the launch of ChatGPT revolutionized both tech and non-tech industries, empowering individuals and organizations with generative AI. Throughout 2023, efforts concentrated on leveraging large language models (LLMs) to manage vast data and automate processes, leading to the development of Retrieval-Augmented Generation (RAG). Now, let’s say you’re managing a sophisticated AI pipeline expected […] The post How to Monitor Production-grade Agentic RAG Pipelines?
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.
Firebolt announced the next-generation Cloud Data Warehouse (CDW) that delivers low latency analytics with drastic efficiency gains. Built across five years of relentless development, it reflects continuous feedback from users and real-world use cases.
Introduction Imagine you’re scrolling through your favorite social media platform when, out of nowhere, an offensive post pops up. Before you can even hit the report button, it’s gone. That’s content moderation in action. Behind the scenes, platforms rely on sophisticated algorithms to keep harmful content at bay, and the rapid growth of artificial intelligence […] The post Building Multi-Modal Models for Content Moderation on Social Media appeared first on Analytics Vidh
Teradata (NYSE:TDC) announced new features and productivity enhancements to ClearScape Analytics, the most powerful, open, and connected AI/ML capabilities in the market today. These new features are designed to enable the world’s most innovative organizations to maximize the ROI of their AI/ML investments and boost data science productivity to achieve business outcomes faster and more efficiently.
Introduction Imagine running a busy café where every second counts. Instead of constantly checking separate inventory and order lists, you consolidate all key details onto one easy-to-read board. This is similar to denormalization in databases: by intentionally introducing redundancy and simplifying data storage, it speeds up data retrieval and makes complex queries faster and more […] The post What is Denormalization in Databases?
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
Always looking forward for a chance to return to my home away from home of Silicon Valley, I jumped at the opportunity to attend my first-ever hardware focused conference, the 2024 AI Hardware and Edge AI put on by Kisaco Research. The event took place Sept. 9-12, 2024 in beautiful San Jose, Calif., the heart of Silicon Valley.
Introduction Artificial Intelligence has entered a new era. Gone are the days when models would simply output information based on predefined rules. The cutting-edge approach in AI today revolves around RAG (Retrieval-Augmented Generation) systems, and more specifically, the use of agents to intelligently retrieve, analyze, and verify information. This is the future of intelligent data […] The post How Agentic RAG Systems with CrewAI and LangChain Transform Tech?
Sponsored Content “Completing the program has provided me with proficiency in essential data science methodologies and programming languages, including R, Python, SQL, and Tableau. Additionally, the program's flexibility allowed me to select project subjects aligned with my interests, fostering hands-on learning experiences. Through these projects, I gained practical experience applying a diverse.
Introduction The capabilities of large language models (LLMs) are advancing rapidly. They enable us to build a variety of LLM applications. These range from task automation to workflow optimization. One exciting application is using LLMs to create an intelligent news digest or newsletter agent. This agent can pull in relevant content, summarize it, and deliver […] The post How to Create Your Personalized News Digest Using AI Agents?
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.
Introduction Handling huge datasets can be pretty overwhelming in today’s data-heavy world. That’s where InsightMate comes in. It’s designed to make exploring your data a breeze. Just upload your dataset, and you’ll get instant insights, visualizations, and answers to your questions. What’s cool about InsightMate is how it mixes automation with flexibility.
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
Artificial Intelligence (AI) has earned a reputation as a silver bullet solution to a myriad of modern business challenges across industries. From improving diagnostic care to revolutionizing the customer experience, many industries and organizations have experienced the true transformational power of AI. However, that’s not the case for the masses.
In the field of technology and creative design, logo design and creation has adapted and evolved at a rapid pace. From the hieroglyphs of ancient Egypt to the sleek minimalism of today’s tech giants, the visual identities that define our favorite brands have undergone a remarkable transformation. Today, the world of creative design is once again being transformed by the emergence of generative AI.
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.
Since 5G began its rollout in 2018 or 2019 , fifth-generation wireless networks have spread across the globe to cover hundreds of millions of users. But while it offers lower latency than precursor networks, 5G also requires more base stations. To avoid installing unsightly equipment on more and more shared spaces, Japanese companies are developing transparent glass antennas that allow windows to serve as base stations that can be shared by several carriers.
Personalization has become a cornerstone of delivering tangible benefits to businesses and their customers. Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. This post presents an automated personalization solution that balances the innovative capabilities of LLMs with adherence to human directives and human-curated assets for a consistent and responsible personali
This post has been co-written with Artem Sysuev, Danny Portman, Matúš Chládek, and Saurabh Gupta from Zeta Global. Zeta Global is a leading data-driven, cloud-based marketing technology company that empowers enterprises to acquire, grow and retain customers. The company’s Zeta Marketing Platform (ZMP) is the largest omnichannel marketing platform with identity data at its core.
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?
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