Wed.May 01, 2024

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Decoding the Data Landscape: Dr. Kiran R on Data Science & Innovation

Analytics Vidhya

In this episode of Leading with Data, we’re joined by Dr. Kiran R, a distinguished leader in Applied ML and Data Science, who shares insights from his extensive experience at Microsoft, VMware, and beyond. With a Ph.D. from IIM Lucknow and an MBA from IIM Kozhikode, Dr. Kiran has led high-impact teams, earning accolades such […] The post Decoding the Data Landscape: Dr.

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Coalition of news publishers sue Microsoft and OpenAI

AI News

A coalition of major news publishers has filed a lawsuit against Microsoft and OpenAI, accusing the tech giants of unlawfully using copyrighted articles to train their generative AI models without permission or payment. First reported by The Verge , the group of eight publications owned by Alden Global Capital (AGC) – including the Chicago Tribune, New York Daily News, and Orlando Sentinel – allege the companies have purloined “millions” of their articles without permission and without pay

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99% of Python Developers Don’t Know These Pandas Tricks!

Analytics Vidhya

Introduction While working with Pandas in Python, you may often notice that your code is slow, it uses too much memory, or it gets difficult to handle as your data grows larger. Any of these issues can lead to errors, long wait times for analysis, and limitations in processing bigger datasets. In this article, we […] The post 99% of Python Developers Don’t Know These Pandas Tricks!

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How generative AI will revolutionize supply chain 

IBM Journey to AI blog

Unlocking the full potential of supply chain management has long been a goal for businesses that seek efficiency, resilience and sustainability. In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization. AI tools help users address queries and resolve alerts by using supply chain data, and natural language processing helps analysts access inventory, order and shipment data for decision-ma

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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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Phi 3 – Small Yet Powerful Models from Microsoft

Analytics Vidhya

Introduction The Phi model from Microsoft has been at the forefront of many open-source Large Language Models. Phi architecture has led to all the popular small open-source models that we see today which include TPhixtral, Phi-DPO, and others. Their Phi Family has taken the LLM architecture a step forward with the introduction of Small Language […] The post Phi 3 – Small Yet Powerful Models from Microsoft appeared first on Analytics Vidhya.

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3 Ways to Use Llama 3 [Explained with Steps]

Analytics Vidhya

Introduction The launch of Meta Llama 3 has taken the world by storm. A common question arising now, is how to use or access Llama 3? In this article, we will explore you through different platforms like Hugging Face, Perplexity AI, and Replicate that offer Llama-3 access. Join us as we explore how you can […] The post 3 Ways to Use Llama 3 [Explained with Steps] appeared first on Analytics Vidhya.

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Amazon Reports Record Q1 2024 Earnings and Launches Amazon Q Assistant

Unite.AI

Amazon has once again surpassed expectations with its Q1 2024 earnings report. The company posted record-breaking revenue and net income figures, highlighting its continued dominance in the tech industry. Alongside the impressive financial results, Amazon also unveiled its latest innovation, Amazon Q, their generative AI assistant that just became generally available.

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Amazon Launches Generative AI-powered Assistant Amazon Q

Analytics Vidhya

Amazon Web Services (AWS) has created yet another wave in artificial intelligence (AI) with its new generative AI-powered assistant, Amazon Q. This new AI tool is launched in three variations – Q Developer, Q Business, and Q Apps – catering to the varied needs of businesses, developers, and app builders. Together, they aim to revolutionize […] The post Amazon Launches Generative AI-powered Assistant Amazon Q appeared first on Analytics Vidhya.

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Jaret Chiles, Chief Services Officer, DoiT – Interview Series

Unite.AI

Jaret Chiles is the chief services officer (CSO) of DoiT and is responsible for all aspects of their client services organization. With 25+ years of experience across consulting and managed services, cloud adoption, technical sales, security and compliance, he is instrumental in building out a key value driver for DoiT’s business: services, consulting, and support offerings.

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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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Beyond Sora: Exploring Vidu AI’s Capabilities in Text-to-Video Creation

Analytics Vidhya

Introduction The world of content creation is undergoing a remarkable transformation with the emergence of artificial intelligence. Text-to-video generation, a technology that allows users to create videos from simple text descriptions, is at the forefront of this revolution. Until recently, generating high-quality videos required significant time, resources, and expertise.

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This AI Paper from Princeton and Stanford Introduces CRISPR-GPT For Innovative Gene-Editing Enhancements

Marktechpost

Gene editing is a cornerstone of modern biotechnology. It enables the precise manipulation of genetic material, which has implications across various fields, from medicine to agriculture. Recent innovations have pushed the boundaries of this technology, providing tools that enhance precision and expand applicability. The primary challenge in gene editing lies in the complexity of designing and conducting precise genetic modifications.

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Veed.io: This AI Tool Will Help You Edit Videos Easily

Analytics Vidhya

Introduction We all dream of creating stunning videos for YouTube, Instagram, or other social media platforms but feel intimidated by complex video editing software. Well, no need to worry anymore! Veed.io is here to reshape your video editing experience. It’s a powerful online video editor allows you to create professional-looking videos entirely within your web […] The post Veed.io: This AI Tool Will Help You Edit Videos Easily appeared first on Analytics Vidhya.

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Understanding Neuro-Symbolic AI: Integrating Symbolic and Neural Approaches

Marktechpost

Neuro-Symbolic Artificial Intelligence (AI) represents an exciting frontier in the field. It merges the robustness of symbolic reasoning with the adaptive learning capabilities of neural networks. This integration aims to harness the strong points of symbolic and neural approaches to create more versatile and reliable AI systems. Below, Let’s explore key insights and developments from recent research on neurosymbolic AI, drawing on various scholarly sources.

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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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Is GPT2-Chatbot Actually GPT-5?

Analytics Vidhya

Since this weekend, everyone in the tech world has been buzzing about this new AI called ‘GPT2-Chatbot’ It just popped up out of nowhere, without any announcements or official documentation, naturally intriguing researchers and fans. There have even been speculations that it may be a pre-release of OpenAI’s much-awaited GPT-5. While people are trying to […] The post Is GPT2-Chatbot Actually GPT-5?

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LayerSkip: An End-to-End AI Solution to Speed-Up Inference of Large Language Models (LLMs)

Marktechpost

Many applications have used large language models (LLMs). However, when deployed to GPU servers, their high memory and computing demands result in substantial energy and financial expenditures. Some acceleration solutions can be used with laptop commodity GPUs, but their precision could be better. Although many LLM acceleration methods aim to decrease the number of non-zero weights, sparsity is the quantity of bits divided by weight.

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15 Ways to Use ChatGPT for SQL

Analytics Vidhya

Introduction Ever feel stuck when reports demand complex SQL queries? Here’s the perfect solution: combining classic SQL skills with the power of AI assistants like ChatGPT and Gemini. AI tools are here to bridge that gap and help you confidently write those queries. Let’s explore 15 examples of using ChatGPT for SQL! Overview of ChatGPT […] The post 15 Ways to Use ChatGPT for SQL appeared first on Analytics Vidhya.

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PyTorch Introduces ExecuTorch Alpha: An End-to-End Solution Focused on Deploying Large Language Models and Large Machine Learning ML Models to the Edge

Marktechpost

PyTorch recently introduced ExecuTorch alpha to address the challenge of deploying powerful machine learning models, including extensive language models (LLMs), on edge devices that are limited in resources, such as smartphones and wearables. In the past, such models required a significant amount of computational resources, which rendered their deployment on edge devices impractical.

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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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Google Launches Gecko Redefining Text Embedding Models

Analytics Vidhya

Google’s latest breakthrough in natural language processing (NLP), called Gecko, has been gaining a lot of interest since its launch. Unlike traditional text embedding models, Gecko takes a whole new approach by distilling knowledge from large language models (LLMs). Let’s learn more about how this AI model was developed and what it means for the […] The post Google Launches Gecko Redefining Text Embedding Models appeared first on Analytics Vidhya.

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Researchers at UC Berkeley Unveil a Novel Interpretation of the U-Net Architecture Through the Lens of Generative Hierarchical Models

Marktechpost

Artificial intelligence and machine learning are fields focused on creating algorithms to enable machines to understand data, make decisions, and solve problems. Researchers in this domain seek to design models that can process vast amounts of information efficiently and accurately, a crucial aspect in advancing automation and predictive analysis. This focus on the efficiency and precision of AI systems remains a central challenge, particularly as the complexity and size of datasets continue to

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Build a Winning Dream 11 Team Using Python and AI

Analytics Vidhya

Introduction The exponential rise of IPL in India has correlatively resulted in the growth of fantasy cricket in the country. In recent years, we have seen more and more people playing on platforms like Dream 11, My Circle, etc. every day. Dream11 is a fantasy sports app where you can create your fantasy team for […] The post Build a Winning Dream 11 Team Using Python and AI appeared first on Analytics Vidhya.

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Meta AI Introduces CyberSecEval 2: A Novel Machine Learning Benchmark to Quantify LLM Security Risks and Capabilities

Marktechpost

Large language models (LLMs) are expanding in usage, posing new cybersecurity risks. These risks emerge from their core traits: heightened capability in code generation, heightened deployment for real-time code generation, automated execution within code interpreters, and integration into applications handling untrusted data. This poses the need for a robust mechanism for cybersecurity evaluations.

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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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8 Gemini Free Courses by Google to master it 

Analytics Vidhya

Introduction Google Gemini is one of the most popular chatbots around. And guess what? Google offers eight free lessons to help you become a Gemini pro! Whether you’re a tech enthusiast or a complete beginner, these courses cater to a wide range of learners, equipping you with the skills to leverage Gemini’s capabilities and unlock […] The post 8 Gemini Free Courses by Google to master it appeared first on Analytics Vidhya.

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A Comparative Analysis: Humans and AI Across Different Tasks

Marktechpost

Understanding Human and Artificial Intelligence: Human intelligence is complex, encompassing various cognitive abilities such as problem-solving, creativity, emotional intelligence, and social interaction. In contrast, artificial intelligence represents a different paradigm, focusing on specific tasks performed through algorithms, data processing, and machine learning techniques.

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GPT-4 Aces Therapy Test: A Glimpse into the Future of Mental Health

Analytics Vidhya

Imagine your smartphone transforming into a supportive therapist, ready to lend an ear whenever needed. A new study investigates this exciting possibility. Researchers explored how AI, particularly LLMs like ChatGPT-4, Gemini, and Bing, compare to human psychologists in understanding emotions. They compared how these AI models and therapists responded to simulated therapy scenarios, focusing on […] The post GPT-4 Aces Therapy Test: A Glimpse into the Future of Mental Health appeared first

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Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

Numerous customers face challenges in managing diverse data sources and seek a chatbot solution capable of orchestrating these sources to offer comprehensive answers. This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stab

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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XTuner: An Efficient, Flexible, and Full-Featured AI Toolkit for Fine-Tuning Large Models

Marktechpost

Fine-tuning large language models (LLMs) efficiently and effectively is a common challenge. Imagine you have a massive LLM that needs adjustments or training for specific tasks, but the process is slow and resource-intensive. This can slow down the progress and make it difficult to deploy AI solutions quickly. Currently, some solutions are available for fine-tuning LLMs, but they may not always be efficient or flexible enough to handle large models and diverse datasets.

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Databricks Assistant Tips & Tricks for Data Engineers

databricks

The generative AI revolution is transforming the way that teams work, and Databricks Assistant leverages the best of these advancements. It allows you.

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Fine-tune and deploy language models with Amazon SageMaker Canvas and Amazon Bedrock

AWS Machine Learning Blog

Imagine harnessing the power of advanced language models to understand and respond to your customers’ inquiries. Amazon Bedrock , a fully managed service providing access to such models, makes this possible. Fine-tuning large language models (LLMs) on domain-specific data supercharges tasks like answering product questions or generating relevant content.

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