Sat.Oct 14, 2023 - Fri.Oct 20, 2023

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Using Clinical Data Science to Improve Clinical Outcomes

Analytics Vidhya

Introduction In an era defined by the convergence of technology and data, the power of data science transcends traditional boundaries, ushering in a new age of innovation. Today, we embark on an enlightening journey into the realm of clinical data science, where the fusion of health, technology, and data science is poised to revolutionize the […] The post Using Clinical Data Science to Improve Clinical Outcomes appeared first on Analytics Vidhya.

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Three Next-Generation Data Architectures: How Cloud, Mesh, and Data Fabrics Impact your AI Deployments

insideBIGDATA

In this contributed article, Mohan Rajagopalan, vice president and general manager at Hewlett Packard Enterprise, discusses how the ideal solution to siloed data is implementing a single data plane across a business. This unified system allows enterprises to realize the grand vision they have been promised: One where data from all sources and apps can be used together for the benefit of the business.

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Using Generative AI for art generation: 5 best tools to leverage 

Data Science Dojo

Generative AI is rapidly transforming the creative process, and art generation is no exception. AI-powered tools can now create stunning visuals that were once unimaginable, and they are becoming increasingly accessible to artists of all levels. This blog post will share top hacks for generating art using the latest AI tools like Midjourney , DALL.E , Stable Diffusion , Adobe Firefly , etc. in 2023.

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A Brief History of the Neural Networks

KDnuggets

From the biological neuron to LLMs: How AI became smart.

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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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Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs

Analytics Vidhya

Introduction I’m pretty sure most of you have already used ChatGPT. That’s great because you’ve taken your first step on a journey we’re about to embark on in this article! You see, when it comes to mastering any new technology, the first thing you do is use it. It’s like learning to swim by jumping […] The post Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs appeared first on Analytics Vidhya.

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ChatGPT, Crime & the Impact on Law Enforcement

insideBIGDATA

Our friends over at Cognyte recently released a report about ChatGPT, crime and the impact on law enforcement authorities: "ChatGPT and Crime - What Law Enforcement Needs to Know about Large Language Models." Hundreds of millions of users around the world are using AI bots, such as ChatGPT, which are powered by Large Language Model (LLMs). This rapidly evolving technology has the potential to allow criminals and bad actors to easily scale up cyber-crime, financial crime, human trafficking, disin

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ChatGPT vs. BARD

KDnuggets

Large language models (LLMs) are transforming the way we process and produce information. But, before considering either one of these models as a one-stop-solution, one must consider their key differences.

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Build a RAG Pipeline With the LLama Index

Analytics Vidhya

Introduction One of the most popular applications of large language models (LLMs) is to answer questions about custom datasets. LLMs like ChatGPT and Bard are excellent communicators. They can answer almost anything that they have been trained on. This is also one of the biggest bottlenecks for LLMs. They can only answer the questions they […] The post Build a RAG Pipeline With the LLama Index appeared first on Analytics Vidhya.

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Unleashing the Power of AI in Digital Advertising: A Data-Driven and Strategic Revolution

insideBIGDATA

In this contributed article, Gruia Pitigoi-Aron, Senior Vice President of Product for The Trade Desk, discusses how in today's rapidly evolving digital landscape, the effectiveness of advertising hinges on the ability to deliver relevant and impactful messages to the right audience at the right time. As the world becomes increasingly data-driven, harnessing the power of AI in digital advertising technology (ad tech) has emerged as a game-changer.

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Simplifying Production MLOps with Lakehouse AI

databricks

Machine learning (ML) is more than just developing models; it's about bringing them to life in real-world, production systems. But transitioning from prototype.

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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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The Generative AI Bubble Will Burst Soon

KDnuggets

Due to unsustainable hype, unrealistic valuations, limitations of current technology, and unproven business models.

AI 376
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Integrating Generative AI and Reinforcement Learning for Self-Improvement

Analytics Vidhya

Introduction In the ever-evolving landscape of artificial intelligence, two key players have come together to break new ground: Generative AI and Reinforcement Learning. These cutting-edge technologies, Generative AI and Reinforcement Learning, have the potential to create self-improving AI systems, taking us one step closer to realizing the dream of machines that learn and adapt autonomously.

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Inside The Data Transformation Cement Mixer

Adrian Bridgwater for Forbes

As we create a new world of massive data, we may need a new approach to data pipeline maintenance if we are going to be able to keep the flow flowing.

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Reflections on AI Engineer Summit 2023

Eugene Yan

The biggest deployment challenges, backward compatibility, multi-modality, and SF work ethic.

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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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3 Ways to Make Money with ChatGPT and AI

KDnuggets

Follow these simple steps to multiply your income with generative AI.

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A Comprehensive Guide to Using Chains in Langchain

Analytics Vidhya

Introduction Step into the forefront of language processing! In a realm where language is an essential link between humanity and technology, the strides made in Natural Language Processing have unlocked some extraordinary heights. Within this progress lies the groundbreaking Large Language Model, a transformative force reshaping our interactions with text-based information.

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LLM Training on Unity Catalog data with MosaicML Streaming Dataset

databricks

Introduction Large Language Models (LLMs) have given us a way to generate text, extract information, and identify patterns in industries from healthcare to.

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5 most useful AI translation tools – Diversify your business

Data Science Dojo

Imagine you’re trying to translate a menu from French to English, but you don’t know any French. You could use a traditional machine translation system, but these systems can sometimes be inaccurate and produce translations that are difficult to understand. A better approach would be to use a large language model (LLM) for translation. LLMs are trained on massive datasets of text and code, which allows them to learn the patterns of human language and generate translations that are mo

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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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Mastering the Art of Data Cleaning in Python

KDnuggets

How to clean your data in Python and make it ready for use in a data science project.

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How Generative AI Is Reshaping Business, Healthcare, and the Arts?

Analytics Vidhya

Introduction Generative artificial intelligence, often called GenAI, is at the vanguard of the AI revolution, enabling robots’ limitless creative and problem-solving potential. GenAI represents a crucial fusion of cutting-edge technology and human creativity in a world where artificial intelligence continuously pushes the bounds of what is possible.

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Survey: Massive Retooling Around Large Language Models Underway

insideBIGDATA

A recent survey of data scientists and engineers revealed that over half (53.3%) of today’s machine learning (ML) teams are planning on deploying a large language model (LLM) application of their own into production “within the next 12 months” or “as soon as possible”. Perhaps even more startling, however, is the finding that nearly one in ten (8.3%) enterprise ML teams have already deployed an LLM application into production.

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Software Platform Engineering Will Elevate Workflows

Adrian Bridgwater for Forbes

Platform engineering alleviates the challenge of having to constantly maintain software environments, minimizing the time spent on maintenance to free-up coding.

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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?

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How To Fine-Tune ChatGPT 3.5 Turbo

KDnuggets

This article has outlined how you can fine tune your GPT 3.5 Turbo models. You can do this by preparing your data, uploading your files, and then setting up a custom OpenAI session to handle the fine tuning.

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Sample Question Paper for GATE DA 2024

Analytics Vidhya

Introduction GATE 2024 aspirants, here’s some great news for you! The Indian Institute of Science (IISc) has just released sample papers for the upcoming GATE exam. These samples are precious resources to enhance your preparation. In this blog post, we’ve compiled an extensive list of questions from the GATE DA sample papers to empower your […] The post Sample Question Paper for GATE DA 2024 appeared first on Analytics Vidhya.

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Announcing Public Preview of AI Generated Documentation In Databricks Unity Catalog

databricks

Today, we are excited to announce the public preview of AI generated documentation in Databricks Unity Catalog. This feature leverages generative AI to.

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How An IT ‘Skills Cloud’ Works

Adrian Bridgwater for Forbes

Even with borderless IT staff, we should be able to phone IT and get in touch with tech support, but if that fails, try turning it off and turning it back on again.

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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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7 Best Cloud Database Platforms

KDnuggets

Cloud databases have made it easier and cheaper to develop enterprise-level applications, offering flexibility, convenience, and standard database functionality. See what KDnuggets recommends.

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Building and Validating Simple Stock Trading Algorithms Using Python

Analytics Vidhya

Introduction Algorithmic trading is a widely adopted trading strategy that has revolutionized the way people trade stocks. More and more people are making money on the side by investing in stocks and automating their trading strategies. This tutorial will teach you how to build stock trading algorithms using primitive technical indicators like MACD, SMA, EMA, […] The post Building and Validating Simple Stock Trading Algorithms Using Python appeared first on Analytics Vidhya.

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How the Lakehouse can optimize provider networks and improve member care

databricks

Check out our Nearest Neighborhood Search Solution Accelerator to get started quickly. The Member Experience An insured member typically experiences their healthcare in.

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Heard on the Street – 10/19/2023

insideBIGDATA

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

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!