Fri.Feb 23, 2024

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Mistral Next: The Latest GPT-4 Competitor from Mistral AI

Analytics Vidhya

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.

Modeling 347
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3 Inspirational Stories of Leaders in AI

KDnuggets

Every leader has their origin story, and here are some that might inspire you.

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Top 7 Strategies to Mitigate Hallucinations in LLMs

Analytics Vidhya

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.

Strategy 318
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Free Mastery Course: Become a Large Language Model Expert

KDnuggets

It is a self-paced course that covers fundamental and advanced concepts of LLMs and teaches how to deploy them in production.

Modeling 147
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Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

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7 Most Common Questions Around LLMs

Analytics Vidhya

Introduction How does your phone predict your next word, or how does an online tool fine-tune your emails effortlessly? The powerhouse behind these conveniences are Large Language Models. But what exactly are these LLMs, and why are they becoming a hot topic of conversation? The global market for these advanced systems hit a whopping $4.35 […] The post 7 Most Common Questions Around LLMs appeared first on Analytics Vidhya.

Marketing 304
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Everything You Need to Know About MLOps: A KDnuggets Tech Brief

KDnuggets

KDnuggets' first Tech Brief is now available, and it outlines everything you need to know about MLOps.

IT 139

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Kyndryl bets on partnerships, consulting arm to redeem itself

CIO Business Intelligence

IBM spin-off Kyndryl is betting on its consulting arm, dubbed Kyndryl Consult, to return to growth by rapidly expanding its partnership ecosystem to deliver more diversified offerings. “We have established an ecosystem of around 30 partners since our spin from IBM well over 24 months ago. Our most recent global partnerships were announced late last year with Palo Alto Networks and Dynatrace,” said Mark Slaga, global practice leader at Kyndryl Consult.

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Building a Modern App with TikTok’s “Depth Anything” Depth Estimation Model

Analytics Vidhya

Introduction 2024 has started with more advancements in artificial intelligence. All the predictions on AI growth have started to unfold. In a groundbreaking move, TikTok has recently introduced “Depth Anything,” a state-of-the-art Monocular Depth-Estimation (MDE) model. In a nutshell, this leverages a combination of 1.5 million labeled and 62 million unlabeled images, making it a […] The post Building a Modern App with TikTok’s “Depth Anything” Depth Estimation Model app

Modeling 287
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DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps

DataKitchen

DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps Data (and Analytic) Observability & Data Journey – Ideas and Background Data Journey Manifesto and Why the Data Journey Manifesto? Five Pillars of Data Journeys Data Journey First DataOps “You Complete Me,” said Data Lineage to Data Journeys. Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability The Need For Personalized Data Journeys for Your Data Consumers Data Te

Testing 124
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American Honda IT to fuel innovation with generative AI

CIO Business Intelligence

The digital reinvention of American Honda Motor Co. may not seem as dramatic as its transformation to fully electric vehicles, but it provides the company’s 30,000-plus employees the engine necessary to help fuel the automaker’s ingenuity. The Torrance, Calif.-based subsidiary of the Japanese automaker, which debuted its first hybrid EV in 1996, is moving into production its first all-electric, zero-emissions automobiles co-developed with GM this spring — Honda Prologue and Acura’s ZDX SUV — as

IT 122
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15 Modern Use Cases for Enterprise Business Intelligence

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?

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AI Leads to Major Breakthroughs in Mobile Games in 2024

Smart Data Collective

AI technology has drastically changed the mobile gaming sector. It has significantly improved the user experience and made it easier for developers to monetize their games. Analytics Vidhya has a great post on how AI is improving game development.

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What are the main challenges CISOs are facing in the Middle East?

CIO Business Intelligence

Q. From a cybersecurity perspective, how has been 2023? Very eventful year as far as cybersecurity is concerned. The year has been marked by a general increase in state-sponsored attacks due to geopolitical conflicts. The rise of AI has also been increasing and has greatly affected the way cybersecurity could be enhanced at the same time allowing cyber criminals well-versed with AI to launch more sophisticated attacks against their victims and making themselves harder to detect and/or defend aga

IoT 118
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Conversational AI use cases for enterprises

IBM Big Data Hub

Today, people don’t just prefer instant communication; they expect it. Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges. Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage.

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Making your AI work with Data Observability: Trends in 2024 and beyond

Jen Stirrup

Artificial Intelligence is essential to help companies stay competitive in the fast-paced digital landscape. To achieve AI ambitions, organizations need data and a cyber-resilient data platform to support them, and this will mean a growing need for data observability. As organizations become increasingly data-driven toward achieving AI ambitions, they recognize the need to ensure data accuracy, reliability, and quality.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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How to implement the General Data Protection Regulation (GDPR)

IBM Big Data Hub

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Even the world’s biggest businesses are not free from GDPR woes. Irish regulators hit Meta with a EUR 1.2 billion fine in 2023.

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How Banks Can Boost Cross-Selling: The Ultimate Guide

ScienceSoft

We explore how a central CRM system, mobile banking app and analytics software can help banks to succeed in cross-selling.

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The Basics of Executing Anomaly Detection at Scale

Dataiku

Anomaly detection is all about finding patterns of interest (outliers, exceptions, peculiarities, etc.) that deviate from expected behavior within dataset(s). Given this definition, it’s worth noting that anomaly detection is, therefore, very similar to noise removal and novelty detection. Though patterns detected with anomaly detection are actually of interest, noise detection can be slightly different because the sole purpose of detection is removing those anomalies — or noise — from data.

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What is Data Mapping?

Jet Global

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and qua

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Top 10 Reasons to Acquire a Product Information Management Solution (PIM or PXM)

Jet Global

Implementing a PIM or PXM* solution will bring numerous benefits to your organization, in terms of improving efficiency, increasing sales and conversions, reducing returns, and promoting customer loyalty through more accurate, more complete, and more engaging product content. Here we explore these benefits in more detail. 1. A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model.