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As the Generative AI (GenAI) hype continues, we’re seeing an uptick of real-world, enterprise-grade solutions in industries from healthcare and finance, to retail and media. As the technology matures, we’re also learning more about its potential, shortcomings, and barriers to entry—ethical considerations, accuracy, hallucinations, and more. But beyond industry, however, there are factors that play into the success or failure of Generative AI projects.
Introduction Let’s say you’re interacting with an AI that not only answers your questions but understands the nuances of your intent. It crafts tailored, coherent responses that almost feel human. How does this happen? Most people don’t even realize the secret lies in LLM parameters. If you’ve ever wondered how AI models like ChatGPT generate […] The post 7 LLM Parameters to Enhance Model Performance (With Practical Implementation) appeared first on Analytics Vidhya.
CIOs have been moving workloads from legacy platforms to the cloud for more than a decade but the rush to AI may breathe new life into an old enterprise friend: the mainframe. At least IBM believes so. Rather than pull away from big iron in the AI era, Big Blue is leaning into it, with plans in 2025 to release its next-generation Z mainframe , with a Telum II processor and Spyre AI Accelerator Card, positioned to run large language models (LLMs) and machine learning models for fraud detection an
Introduction We all know that Large Language Models are growing in size and complexity. Finding ways to reduce their computational and energy cost is getting difficult. One popular method to reduce cost is quantization. In quantization, we reduce the precision of parameters from the standard 16-bit floating point (FP16) or 32-bit floating point (FP32) to […] The post How to Fine-tune LLMs to 1.58 bits?
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Learn the data engineering tools for data orchestration, database management, batch processing, ETL (Extract, Transform, Load), data transformation, data visualization, and data streaming.
Introduction In recent years, large language models (LLMs have attracted significant attention in the healthcare sector. As interest in this technology expands, health-tech companies are exploring innovative ways to integrate generative artificial intelligence (GenAI) into clinical applications. Medical LLMs are enhancing clinical workflows, streamlining patient interactions, and improving diagnostic accuracy.
Introduction Managing a data pipeline, such as transferring data from CSV to PostgreSQL, is like orchestrating a well-timed process where each step relies on the previous one. Apache Airflow streamlines this process by automating the workflow, making it easy to manage complex data tasks. In this article, we’ll build a robust data pipeline using Apache […] The post Automating CSV to PostgreSQL Ingestion with Airflow and Docker appeared first on Analytics Vidhya.
None of the participants will ever forget this meeting, that much is certain. The venue was the US Department of Defense, starring a new Secretary of State responsible for procurement, who was to lead her first meeting with suppliers and colleagues from her own company. When she entered the room, she was faced with 60 participants. She said, “Ok, it’s best if we just form a circle at the beginning.
Introduction When it comes to databases, the handling of enormous and different sorts of data is unavoidable. Think of what it would be like to try to add dates to dates or text to binary information – neither of these is easy and both of them have to be done right if the data is […] The post Understanding SQL Data Type Conversion appeared first on Analytics Vidhya.
Suncor is legally required to charge tax on intercompany transactions, including those with companies outside of its control. To comply with this obligation, Suncor has developed the Intercompany Tax Automation (ITC) solution using SAP Business AI & SAP Build Products. By the beginning of the decade, though, its automated solution was outmoded – a troubling predicament given Suncor’s legal and regulatory obligation to charge taxes on intercompany transactions.
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
Introduction In my previous blog post, Building Multi-Document Agentic RAG using LLamaIndex, I demonstrated how to create a retrieval-augmented generation (RAG) system that could handle and query across three documents using LLamaIndex. While that was a powerful start, real-world applications often require the ability to handle a larger corpus of documents.
Según Kari Briski, vicepresidente de Modelos, Software y Servicios de IA en Nvidia , implementar con éxito la inteligencia artificial (IA) generativa depende de la gestión eficaz de los datos y de evaluar cómo los diferentes modelos trabajan juntos para servir a un caso de uso específico. Mientras que algunas organizaciones de élite como Nvidia utilizan la IA generativa para cosas como el diseño de nuevos chips , la mayoría se ha decantado por casos de uso menos sofisticados que emplean modelos
Imagine you have some streaming data. It could be from an Internet of Things (IoT) sensor, log data ingestion, or even shopper impression data. Regardless of the source, you have been tasked with acting on the data—alerting or triggering when something occurs. Martin Fowler says : “You can build a simple rules engine yourself. All you need is to create a bunch of objects with conditions and actions, store them in a collection, and run through them to evaluate the conditions and execute the actio
La IA generativa irrumpió en escena de forma abrupta y ha ocurrido igual con el nuevo lenguaje que trae consigo. Aunque la lista completa de vocabulario relacionado con la IA sería mucho más amplia (con miles de términos), destacamos los más conocidos entre los CIO, analistas, consultores y otros ejecutivos de empresas. Agentes de IA Un agente es un modelo de IA o un programa de software capaz de tomar decisiones o realizar acciones de forma autónoma.
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
Reading Time: 3 minutes As organizations continue to pursue increasingly time-sensitive use-cases including customer 360° views, supply-chain logistics, and healthcare monitoring, they need their supporting data infrastructures to be increasingly flexible, adaptable, and scalable. Howard Dresner refers to such infrastructures as “active data architecture.
La transformación digital de cualquier negocio, independientemente de su sector de actividad, es clave para su supervivencia. Una transformación que es mucho más que la simple adopción de tecnología y que pasa por adaptar los procesos empresariales a las necesidades globales y dinámicas de los clientes. En este contexto, el sector retail lleva años adoptando un profundo cambio en todo el mundo y, de hecho, es uno de los sectores en los que más ha impactado la transformación digital.
After years of nasty back and forth accusations between WordPress hosting provider WP Engine (WPE) and WordPress.org, the open source project that provides the software, on Wednesday WPE sued WordPress.org in federal court, accusing WordPress.org, which is affiliated with a for-profit company called Automattic, of trying to extort money from it. “Over the last two weeks, [WordPress] has been carrying out a scheme to ban WPE from the WordPress community unless it agreed to pay tens of millions of
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