Tue.Apr 23, 2024

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KissanAI Unveils Dhenu Llama 3: A Revolutionary Agricultural AI Model

Analytics Vidhya

KissanAI has made waves in the agricultural sector with the introduction of Dhenu Llama 3, a cutting-edge AI model tailored specifically for farmers. This innovative creation, fine-tuned on Meta’s Llama 3 8B architecture, promises enhanced capabilities and superior performance benchmarks. Let’s delve deeper into this innovative development.

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10 Best AI Shopify Tools (April 2024)

Unite.AI

As e-commerce continues to dominate the retail landscape, leveraging the power of artificial intelligence has become essential for optimizing online stores and maximizing sales. Shopify, a leading e-commerce platform, has embraced this trend by integrating AI-powered tools that enhance various aspects of online selling, from product recommendations to customer support.

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Top 5 AI Devices to Use in 2024

Analytics Vidhya

Artificial Intelligence has significantly transformed our daily lives over the past years. It has become an indispensable cornerstone of modern society. From personalized recommendations to predictive analytics, AI has significantly influenced our interactions, decisions, and experiences. This article explores the evolving landscape of AI technology, focusing on the top five AI devices set to revolutionize […] The post Top 5 AI Devices to Use in 2024 appeared first on Analytics Vidhya.

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5 steps for implementing change management in your organization

IBM Journey to AI blog

Change is inevitable in an organization; especially in the age of digital transformation and emerging technologies, businesses and employees need to adapt. Change management (CM) is a methodology that ensures both leaders and employees are equipped and supported when implementing changes to an organization. The goal of a change management plan, or more accurately an organizational change plan, is to embed processes that have stakeholder buy-in and support the success of both the business and the

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Alibaba’s LLM-R2: Revolutionizing SQL Query Efficiency

Analytics Vidhya

Alibaba, in collaboration with Nanyang Technological University and Singapore University of Technology and Design, unveils LLM-R2, an innovative system aimed at enhancing SQL query efficiency. The system incorporates a Large Language Model (LLM) to revolutionize query rewriting, significantly reducing execution times while maintaining accuracy and reliability.

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10 Open Source Datasets for LLM Training

Analytics Vidhya

Introduction As you may know, large language models (LLMs) are taking the world by storm, powering remarkable applications like ChatGPT, Bard, Mistral, and more. But have you ever wondered what fuels these robust AI systems? The answer lies in the vast datasets used to train them. Just like humans learn from exposure to information, LLMs […] The post 10 Open Source Datasets for LLM Training appeared first on Analytics Vidhya.

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Introducing the AssemblyAI app for Make (Integromat)

AssemblyAI

Make (formerly Integromat) is a workflow automation tool that lets you integrate various services together without requiring coding knowledge. We've been working with Make to make our state-of-the-art Speech AI available to no-code and low-code builders. With the AssemblyAI app for Make , you can use our AI models to process audio data by transcribing it with speech recognition models, analyzing it with audio intelligence models, and building generative features on top of it with LLMs.

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Apple Boosts AI Capabilities with Acquisition of French Startup

Analytics Vidhya

Apple has made yet another strategic move in the field of artificial intelligence (AI). The company has recently acquired Datakalab, a French startup specializing in AI compression and computer vision technology. The deal, finalized in December, signals Apple’s commitment to enhancing its on-device AI capabilities. Let’s delve into the details of this acquisition and its […] The post Apple Boosts AI Capabilities with Acquisition of French Startup appeared first on Analytics Vid

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5 Steps to Implement AI-Powered Threat Detection in Your Business

Aiiot Talk

As you navigate the vast online world, safeguarding your business’s data against increasingly sophisticated threats is essential. Fortunately, AI is transforming threat detection. This technology learns from patterns and anomalies and enhances its ability to spot potential dangers quickly and accurately. It allows you to not just react to threats but stay one step ahead.

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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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Microsoft’s Phi-3 Mini: The New Era of Compact AI Models

Analytics Vidhya

Microsoft has unveiled its latest innovation in artificial intelligence (AI), the Phi-3 Mini. This new model challenges the notion that bigger is always better in AI models. This compact yet powerful model promises to revolutionize the field with its efficiency and accessibility. Let’s explore its features and capabilities. Also Read: Alibaba’s LLM-R2: Revolutionizing SQL Query […] The post Microsoft’s Phi-3 Mini: The New Era of Compact AI Models appeared first on Analytics Vid

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Steve Salvin, Founder & CEO of Aiimi – Interview Series

Unite.AI

Steve Salvin is the founder and CEO of Aiimi , an AI platform which has been quietly scaling since 2013. Having bootstrapped the company since launch, Steve has grown Aiimi to 8-figure revenues and their tech is used by the likes of the FCA, PwC, and the UK government. Steve has been working in tech since the 80s (even studying AI at university) and is a serial entrepreneur.

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Adobe Unveils Firefly Image 3: The Next Leap in AI Image Generation

Analytics Vidhya

Adobe introduced its latest iteration of AI image generation, the Firefly Image 3, during the MAX London Creativity Conference. This new model promises significant advancements in photorealism, control, and efficiency. It offers creators enhanced tools to bring their visions to life. Let’s delve into the features and capabilities of this cutting-edge technology.

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OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework

Machine Learning Research at Apple

The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of results, and enabling investigations into data and model biases, as well as potential risks. To this end, we release OpenELM, a state-of-the-art open language model. OpenELM uses a layer-wise scaling strategy to efficiently allocate parameters within each layer of the transformer model, leading to enhanced accuracy.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Top 9 Fine-tuning Interview Questions and Answers

Analytics Vidhya

Introduction As someone deeply immersed in the world of artificial intelligence, I’ve seen firsthand how fine-tuning revolutionizes pre-trained large language models (LLMs). Bridging the gap between general AI training and specific tasks sparked my interest in exploring fine-tuning. Fine-tuning is like specializing in a field after getting a broad education.

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Small and Mighty: NVIDIA Accelerates Microsoft’s Open Phi-3 Mini Language Models

NVIDIA

NVIDIA announced today its acceleration of Microsoft’s new Phi-3 Mini open language model with NVIDIA TensorRT-LLM , an open-source library for optimizing large language model inference when running on NVIDIA GPUs from PC to cloud. Phi-3 Mini packs the capability of 10x larger models and is licensed for both research and broad commercial usage, advancing Phi-2 from its research-only roots.

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Streamlining Data Workflow with Apache Airflow on AWS EC2

Analytics Vidhya

Introduction Apache Airflow is a powerful platform that revolutionizes the management and execution of Extracting, Transforming, and Loading (ETL) data processes. It offers a scalable and extensible solution for automating complex workflows, automating repetitive tasks, and monitoring data pipelines. This article explores the intricacies of automating ETL pipelines using Apache Airflow on AWS EC2.

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Google AI Proposes MathWriting: Transforming Handwritten Mathematical Expression Recognition with Extensive Human-Written and Synthetic Dataset Integration and Enhanced Model Training

Marktechpost

Online text recognition models have advanced significantly in recent years due to enhanced model structures and larger datasets. However, mathematical expression (ME) recognition, a more intricate task, has yet to receive comparable attention. Unlike text, MEs have a rigid two-dimensional structure where the spatial arrangement of symbols is crucial.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Gen AI Toolbox

Analytics Vidhya

Enhance your creative process with generative AI tools. Discover how these advanced tools can assist you in increasing your productivity.

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Privacy-Preserving Training-as-a-Service (PTaaS): A Novel Service Computing Paradigm that Provides Privacy-Friendly and Customized Machine Learning Model Training for End Devices

Marktechpost

On-device intelligence (ODI) is an emerging technology that combines mobile computing and AI, enabling real-time, customized services without network reliance. ODI holds promise in the Internet of Everything era for applications like medical diagnosis and AI-enhanced motion tracking. Despite ODI’s potential, challenges arise from decentralized user data and privacy concerns.

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles.

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Researchers from Google DeepMind Releases a Study on the Ethics of Advanced Artificial Intelligence Assistants

Marktechpost

In a recent study, a team of researchers from Google DeepMind explored the potential benefits of powerful Artificial Intelligence (AI) assistants as well as the threats to society and ethics. These assistants are characterized as artificial agents with natural language interfaces that are assigned the responsibility of organizing and carrying out user-specified operations across many domains.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Announcing the General Availability of Databricks Asset Bundles

databricks

We're thrilled to announce the General Availability (GA) of Databricks Asset Bundles (DABs). With DABs you can easily bundle resources like jobs.

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LexisNexis Launches ‘Second-Generation’ Upgrade Of Its AI Assistant

Artificial Lawyer

LexisNexis has launched a ‘second-generation’ upgrade for its legal generative AI Assistant Lexis+ AI. The legal tech giant said that: ‘Utilizing continuous user feedback, the.

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Apple Vision Pro: Use Cases and Special Application in the Biomedical Sector

Marktechpost

Apple Vision Pro emerges as a platform poised to reshape the biomedical landscape. It leverages the formidable capabilities of Apple devices to catalyze innovation in healthcare. This advanced solution integrates cutting-edge imaging technology with robust software, unlocking many possibilities for healthcare professionals and researchers. Image Source At its essence, Apple Vision Pro serves as a versatile toolset tailored for biomedical imaging and analysis.

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[The AI Show Episode 93]: Llama 3 Is Here, New Microsoft Model Makes Deepfakes from a Single Photo, and How AI Is Turning SaaS Into “Service-as-Software”

Marketing AI Institute

This week, we bring you an abundance of AI news in a special two episodes. Join us for Episode 93 as hosts Paul Roetzer and Mike Kaput explore Meta's powerful open-source models and AI assistant integration, Microsoft's impressively realistic VASA-1 video generator, and the intriguing concept of "Service-as-Software." Stay tuned for even more this week!

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Rising Tide Rents and Robber Baron Rents

O'Reilly Media

Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? Why is it now subject to the same kind of antitrust complaints faced by Microsoft, once the “evil empire” of the previous generation of computing? Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements

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Blink: A New Multimodal LLM Benchmark that Evaluates Core Visual Perception Abilities not Found in Existing Evaluations

Marktechpost

Earlier, with the adoption of computer vision, its studies weren’t content to only scan 2D arrays of flat “patterns.” Rather, they sought to understand images as projections of 3D scenes. Initially, researchers created several intermediate tasks to help with this pursuit. These included learning about optical properties like reflectance, three-dimensional primitives using multi-view reasoning, geometric reasoning using depth estimation, visual correspondence, recognition, keypo

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Prompt Engineering Best Practices: Building Chatbots

Towards AI

Last Updated on April 25, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Prompt Engineering for Instruction-Tuned LLMs One of the compelling aspects of utilizing a large language model lies in its capacity to effortlessly construct a personalized chatbot and leverage it to craft your very own chatbot tailored to various applications.