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In this contributed article, Philip Pokorny, Chief Technology Officer for Intelligent Platform Solutions/Penguin Solutions at SGH, provides insights regarding the relationship between high-performance computing (HPC) and generative AI and his expert point-of-view of the growing market. The increasing momentum behind generative AI in recent months has raised the prospective capabilities of enterprise businesses.
GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. OpenAI played a major role in increasing their accessibility with the launch of their GPT Store. What is OpenAI’s GPT Store?
French AI startup Mistral AI has unveiled its latest prototype language model, “Mistral Next,” sparking excitement and curiosity within the tech community. Positioned as a potential competitor to renowned models like GPT-4, Mistral Next promises advanced capabilities and a commitment to ethical conversation. Let’s delve into the details of this new release.
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.
Organizations face more pressure than ever to be data-driven, but as economic challenges loom they are forced to do more with less with their IT budgets, making compromises with their analytics databases that end up hindering their data-driven initiatives. In this article, Exasol’s North American Business Lead, John Knieriemen, shares some best practices for how organizations can address these analytics challenges.
Introduction Python is a popular programming language known for its simplicity and versatility. However, it has a unique feature called the Global Interpreter Lock (GIL) that sets it apart from other languages. In this article, we will delve into the details of the GIL, its purpose, and its impact on Python’s performance. What is the […] The post Understanding the Python Global Interpreter Lock (GIL) appeared first on Analytics Vidhya.
We are excited to announce the upcoming general availability of Azure Private Link support for Databricks SQL (DBSQL) Serverless, planned in April 2024.
In this contributed article, Erfane Arwani, founder and CEO of Biomemory, discusses how molecular computing (using molecules rather than traditional silicon chips for computational tasks) could be a critical component in revolutionizing data storage, despite the exponential growth of AI.
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.
Welcome to the Python Error Handling MCQ Quiz! Error handling is an essential aspect of programming, and Python provides powerful mechanisms to manage exceptions and errors that may occur during program execution. This quiz aims to test your understanding of various concepts related to error handling in Python, including try and except blocks, raising and […] The post 30+ MCQs on Python Error Handling (try-except) appeared first on Analytics Vidhya.
In today's environment, proactive cybersecurity is crucial to any public sector agency. For many organizations, log data that security professionals need for effective.
As you design your career in data, you’ve got to avoid getting stuck in your comfort zone or allowing your manager or current situation to determine your path.
In the world of real estate, numerous factors influence property prices. The economy, market demand, location, and even the year a property is sold can play significant roles. The years 2007 to 2009 marked a tumultuous time for the US housing market. This period, often referred to as the Great Recession, saw a drastic decline […] The post Leveraging ANOVA and Kruskal-Wallis Tests to Analyze the Impact of the Great Recession on Housing Prices appeared first on MachineLearningMastery.com.
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
Introduction The ongoing evolution of AI-driven video creation technology continues. Its undeniable impact is reshaping and democratizing the entire video production landscape, representing a significant leap in AI’s role in video creation. But have you ever thought one could create an HD video just by writing a prompt? With the advancements in artificial intelligence, particularly […] The post New-Gen Text-to-Video Tool: Sora by OpenAI appeared first on Analytics Vidhya.
Learn a modern approach to stream real-time data in Jupyter Notebook. This guide covers dynamic visualizations, a Python for quant finance use case, and Bollinger Bands analysis with live data.
Are you confused about where to start working on your large language model? It all starts with an understanding of a typical LLM project lifecycle. As part of the generative AI world, LLMs have led to innovation in machine-learning tasks. Let’s take a look at the steps that make up an LLM project lifecycle and their impact on the process. Roadmap to understanding an LLM project lifecycle Within the realm of generative AI, a project involving large language models can be a daunting task.
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 Are you tired of doing regular SEO and couldn’t get the result you were anticipating? If yes, then you are on the right path of learning. If you ask me what process a company should adopt for a profitable and scalable SEO, I would suggest – Planning with keywords, writing with a good content […] The post Boost Organic Traffic with Surfer SEO Tool appeared first on Analytics Vidhya.
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.
The healthcare technology sector has been rocked by a significant disruption: The Change Healthcare cyber attack 2024 has knocked critical systems offline. Change Healthcare, a major healthcare IT provider, confirmed the attack, citing a “cyber security issue.” Services have been severely impacted as the company disconnected systems to contain the threat.
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?
The introduction of Large Language Models (LLMs) has brought in a significant paradigm shift in artificial intelligence (AI) and machine learning (ML) fields. With their remarkable advancements, LLMs can now generate content on diverse topics, address complex inquiries, and substantially enhance user satisfaction. However, alongside their progression, a new challenge has surfaced: Hallucinations.
DataStax, the Gen AI data company, today announced its out-of-the-box retrieval augmented generation (RAG) solution, RAGStack, is now generally available powered by LlamaIndex as an open source framework, in addition to LangChain. DataStax RAGStack for LlamaIndex is also the first partner to support an integration (currently in public preview) with LlamaIndex’s LlamaParse, which gives developers using Astra DB a simple API to efficiently parse and transform complex PDFs into vectors in minutes.
Groq AI, a pioneering company in the AI chip industry, is setting the stage for a significant shift in how we perceive artificial intelligence processing power. What is Groq AI? This weekend, lightning-fast demonstrations from Groq AI captured the public’s attention, showcasing capabilities that make current iterations of ChatGPT , Gemini , and even Grok appear slow by comparison.
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
Are you looking for your digital doppelganger? Ever wished you could use your voice for YouTube or podcast narration, even when you’re not recording? Say hello to voice cloning, the sci-fi tech that’s become surprisingly accessible thanks to platforms like ElevenLabs. In this article, we’ll peel back the curtain on this fascinating technology, showing you […] The post Create your Own AI Voice Clone using Elevenlabs appeared first on Analytics Vidhya.
In this contributed article, Ajay Kumar, CEO at SLK Software, discusses how generative AI provides unprecedented impact and effortless integration for the banking, insurance, and manufacturing industries.
Clickbait headlines like "AI's Hottest Job" have promised a career that anyone who knows how to chat with AI could pay a six-figure salary with no computer background. But is this reality, or just another internet pipe dream? Let's ditch the sensationalism and delve into the actual job market data to find out.
Consumer sentiment analysis isn’t a flashy topic or mind-blowing concept, yet the importance of these tools in business is hot and getting hotter. Without gauging consumer sentiment, businesses can spiral with a solution, looking for a problem instead of meeting customer demands. Consumer sentiment is an economic indicator of well-being, often presented statistically.
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!
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