Analytics Vidhya

MAY 6, 2024

As the race for dominance in the AI landscape intensifies, Microsoft is stepping into the ring with its latest venture, MAI-1. This in-house AI model signals Microsoft’s determination to assert its presence alongside industry giants like Google and OpenAI. Boasting an impressive 500 billion parameters, this new model promises to take AI development a leap […] The post Microsoft’s MAI-1: A New Competitor to AI Language Models from Google and OpenAI appeared first on Analytics Vi

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OpenAI AI AI AI Developer 285

IBM Journey to AI blog

MAY 6, 2024

The global economy runs on transactions, and 70% of transactions by value run through an IBM Z® mainframe. Many of the world’s largest enterprises rely on IBM Z to support their core business, and by a process of continued innovation, IBM Z brings industry-first technologies to our clients with each new generation. Modern mainframe skills are critical as businesses implement AI, modernize their applications, integrate across the enterprise and continue digital transformation.

Automation 238

Automation AI AI Artificial Intelligence 238

Analytics Vidhya

MAY 6, 2024

Introduction Machine learning (ML) has become a game-changer across industries, but its complexity can be intimidating. This article explores how to use ChatGPT to build machine learning models. We’ll look into how ChatGPT can assist in various stages of model creation, from data preparation to training and evaluation, all through an intuitive conversational interface.

ML 282

ML ChatGPT Machine Learning 282

IBM Journey to AI blog

MAY 6, 2024

IBM and AWS study: Less than 25% of current generative AI projects are being secured The enterprise world has long operated on the notion that trust is the currency of good business. But as AI transforms and redefines how businesses operate and how customers interact with them, trust in technology must be built. Advances in AI can free human capital to focus on high-value deliverables.

Generative AI 165

Generative AI AI AI Software Development 165

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

Generative AI

Analytics Vidhya

MAY 6, 2024

Introduction Artificial intelligence (AI) significantly impacts various sectors today. It can potentially revolutionize areas such as healthcare, education, and cybersecurity. Recognizing AI’s extensive influence, it’s crucial to emphasize the security of these advanced systems. Ensuring robust security measures allows stakeholders to fully leverage the benefits AI provides.

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Analytics Vidhya

MAY 6, 2024

Introduction In the ever-evolving landscape of machine learning and artificial intelligence, the development of language model applications, particularly Retrieval Augmented Generation (RAG) systems, is becoming increasingly sophisticated. However, the real challenge surfaces not during the initial creation but in the ongoing maintenance and enhancement of these applications.

Artificial Intelligence 277

Artificial Intelligence Artificial Intelligence Machine Learning Large Language Models 277

IBM Journey to AI blog

MAY 6, 2024

Successful clinical studies hinge on efficiently recruiting and retaining diverse participants. Yet, clinical trial professionals across the globe grapple with notable challenges in these areas. In this chapter of the IBM series on clinical trial innovation, we spotlight key strategies for boosting recruitment speed, helping to ensure diversity, and harnessing digital advancements.

Convolutional Neural Networks 144

Convolutional Neural Networks Neural Network AI AI 144

Analytics Vidhya

MAY 6, 2024

Introduction Unlocking your coding potential requires investigating the syntax and feature set of Python. You may optimize your code for performance and elegance by learning basic concepts like list comprehensions, generating expressions, and unpacking. Explore a vast array of carefully selected 30+ Python tips and tricks that are sure to improve your programming skills and […] The post 30+ Python Tips and Tricks appeared first on Analytics Vidhya.

Python 275

Python 275

NVIDIA

MAY 6, 2024

Intrinsic, a software and AI robotics company at Alphabet, has integrated NVIDIA AI and Isaac platform technologies to advance the complex field of autonomous robotic manipulation. This week at the Automate trade show, in Chicago, Intrinsic is spotlighting leaps in robotic grasping and industrial scalability assisted by foundation models enabled by NVIDIA Isaac Manipulator, unlocking new value in industrial automation with AI.

Robotics 119

Robotics Neural Network Automation Deep Learning 119

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

Analytics Vidhya

MAY 6, 2024

Introduction Visual Language Models (VLMs) are revolutionizing the way machines comprehend and interact with both images and text. These models skillfully combine techniques from image processing with the subtleties of language comprehension. This integration enhances the capabilities of artificial intelligence (AI). Nvidia and MIT have recently launched a VLM named VILA, enhancing the capabilities of […] The post Nvidia Introduces VILA: Visual Language Intelligence and Edge AI 2.0 appeare

Artificial Intelligence 259

Artificial Intelligence Artificial Intelligence AI AI 259

Marktechpost

MAY 6, 2024

In the quickly changing field of Natural Language Processing (NLP), the possibilities of human-computer interaction are being reshaped by the introduction of advanced conversational Question-Answering (QA) models. Recently, Nvidia has published a competitive Llama3-70b QA/RAG fine-tune. The Llama3-ChatQA-1.5 model is a noteworthy accomplishment that marks a major advancement in Retrieval-Augmented Generation (RAG) and conversational quality assurance.

Large Language Models 120

Large Language Models Natural Language Processing NLP Responsible AI 120

Analytics Vidhya

MAY 6, 2024

Introduction This article explores Adaptive Question-Answering (QA) frameworks, specifically the Adaptive RAG strategy. It discusses how this framework dynamically selects the most suitable method for large language models (LLMs) based on query complexity. It highlights the learning objectives, features, and implementation of Adaptive RAG, its efficiency, and its integration with Langchain and Cohere LLM.

Large Language Models 252

Large Language Models LLM Generative AI Python 252

Marktechpost

MAY 6, 2024

Software vulnerability detection is a critical field focused on safeguarding system security and user privacy by identifying security flaws in software systems. Ensuring software systems are secure against potential attacks is crucial with increasingly sophisticated cyber threats. The application of advanced AI technologies, particularly large language models (LLMs) and deep learning, has become instrumental in enhancing the detection of software vulnerabilities.

Deep Learning 121

Deep Learning Prompt Engineer Prompt Engineering Large Language Models 121

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

Analytics Vidhya

MAY 6, 2024

Introduction Reading this article is essential for anyone looking to enhance their proficiency in Python data manipulation and analysis using Pandas. Whether you’re a beginner or an experienced data practitioner, this tutorial offers a wealth of insights and techniques to streamline your workflow and maximize your productivity. By mastering the 30 tips and tricks outlined […] The post 30 Quick Pandas Tips and Tricks for Beginners appeared first on Analytics Vidhya.

Python 249

Python 249

Marktechpost

MAY 6, 2024

Creating 3D avatar animations from text input represents a significant leap forward. Imagine simply typing a few sentences and watching a detailed, lifelike avatar spring to life on your screen, moving with realistic animations. This technology isn’t a sci-fi fantasy; it’s an exciting reality driven by cutting-edge artificial intelligence (AI).

Neural Network 120

Neural Network Natural Language Processing Computer Vision NLP 120

Analytics Vidhya

MAY 6, 2024

Introduction AI is reshaping software development, and GitHub is at the forefront. In just two years, we’ve seen a dramatic shift with the introduction of GitHub Copilot, the AI-powered code completion tool for editors, boosting productivity by up to 55%. We’re pushing the boundaries even further with GitHub Copilot Workspace: the first Copilot-native developer environment. […] The post Meet Devin’s Rival: Here’s How You Should Work on GitHub Copilot Workspace appeared fi

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Software Development AI AI AI Tools 241

Marktechpost

MAY 6, 2024

Researchers in computer vision and robotics consistently strive to improve autonomous systems’ perception capabilities. These systems are expected to comprehend their environment accurately in real-time. Developing new methods and algorithms allows for innovations that benefit various industries, including transportation, manufacturing, and healthcare.

Convolutional Neural Networks 116

Convolutional Neural Networks Neural Network Computer Vision Robotics 116

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Analytics Vidhya

MAY 6, 2024

The artificial intelligence (AI) landscape continues to evolve, demanding models capable of handling vast datasets and delivering precise insights. Fulfilling these needs, researchers at NVIDIA and MIT have recently introduced a Visual Language Model (VLM), VILA. This new AI model stands out for its exceptional ability to reason among multiple images.

Artificial Intelligence 241

Artificial Intelligence Artificial Intelligence AI AI 241

NVIDIA

MAY 6, 2024

Cybersecurity experts at the RSA Conference this week will be on the hunt for ways to secure their operations in the era of generative AI. They’ll find many of the latest tools use AI and accelerated computing. This intersection of security and AI is coming into focus with collaborations that companies like NVIDIA and its partners will describe at the event.

Generative AI 106

Generative AI AI AI Machine Learning 106

Analytics Vidhya

MAY 6, 2024

Introduction Generative AI is deeply changing the digital workplace. It offers innovative solutions that automate complex tasks, boost productivity, and simplify various operations. These AI technologies are crucial for creating more efficient workflows and creating a work environment that adapts quickly to user needs. By handling routine and complex tasks, generative AI tools like ChatGPT […] The post 5 Generative AI Trends in the Digital Workplace appeared first on Analytics Vidhya.

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Marktechpost

MAY 6, 2024

Large Language Models (LLMs) have demonstrated remarkable abilities in generating human-like text, answering questions, and coding. However, they face hurdles requiring high reliability, safety, and ethical adherence. Reinforcement Learning from Human Feedback (RLHF), or Preference-based Reinforcement Learning (PbRL), emerges as a promising solution.

Large Language Models 104

Large Language Models Machine Learning Algorithm AI 104

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Data Analysis

Towards AI

MAY 6, 2024

Last Updated on May 7, 2024 by Editorial Team Author(s): zhaozhiming Originally published on Towards AI. Many developers have likely used GitHub Copilot, a revolutionary development tool that significantly boosts productivity and gradually transforms programming habits. Since Meta released the latest open-source Large Language Model (LLM), Llama3, various development tools and frameworks have been actively integrating Llama3.

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Auto-complete Natural Language Processing Large Language Models Machine Learning 86

Marktechpost

MAY 6, 2024

Convolutional Neural Networks (CNNs) have become the benchmark for computer vision tasks. However, they have several limitations, such as not effectively capturing spatial hierarchies and requiring large amounts of data. Capsule Networks (CapsNets), first introduced by Hinton et al. in 2017 , provide a novel neural network architecture that aims to overcome these limitations by introducing the concept of capsules, which encode spatial relationships more effectively than CNNs.

Convolutional Neural Networks 101

Convolutional Neural Networks Neural Network Computer Vision Algorithm 101

Artificial Lawyer

MAY 6, 2024

Danielle Benecke is the Founder and global head of Baker McKenzie’s Machine Learning Practice. Ahead of the Legal Innovators California conference on June 4 +.

Machine Learning 85

Machine Learning 85

Marktechpost

MAY 6, 2024

Researchers from Purdue University have introduced GTX to address the challenge of handling large-scale graphs with high throughput read-write transactions while maintaining competitive graph analytics. Managing dynamic graphs efficiently is crucial for various applications like fraud detection, recommendation systems, and graph neural network training.

Neural Network 96

Neural Network ML AI AI 96

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

databricks

MAY 6, 2024

Discover the vital role of data governance in the communications, media, and entertainment industry. Learn how robust data governance enables personalized experiences, ensures AI transparency, and mitigates compliance risks. Explore how leading companies like Barilla and Anker are accelerating innovation through effective data governance strategies powered by Databricks' Unity Catalog.

AI 77

AI AI 77

Marktechpost

MAY 6, 2024

When imagination and technology come together, limitless opportunities arise for designers in the dynamic fashion industry. The most recent technological breakthrough is artificial intelligence (AI), which is changing how we design, manufacture, and personalize clothing. The possibilities are limitless when people are willing to go beyond the box and use AI.

AI Tools 91

AI Tools Artificial Intelligence Artificial Intelligence AI 91

databricks

MAY 6, 2024

Introduction Organizations aiming to become AI and data-driven often need to provide their internal teams with high-quality and trusted data products. Building.

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AI AI 81