May, 2024

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The Growing Threat of Data Leakage in Generative AI Apps

Unite.AI

The age of Generative AI (GenAI) is transforming how we work and create. From marketing copy to generating product designs, these powerful tools hold great potential. However, this rapid innovation comes with a hidden threat: data leakage. Unlike traditional software, GenAI applications interact with and learn from the data we feed them. The LayerX study revealed that 6% of workers have copied and pasted sensitive information into GenAI tools, and 4% do so weekly.

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How to Move Generative AI Applications to Production?

Analytics Vidhya

Introduction Deploying generative AI applications, such as large language models (LLMs) like GPT-4, Claude, and Gemini, represents a monumental shift in technology, offering transformative capabilities in text and code creation. The sophisticated functions of these powerful models have the potential to revolutionise various industries, but achieving their full potential in production situations presents a challenging […] The post How to Move Generative AI Applications to Production?

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The Rise of Agentic Retrieval-Augmented Generation (RAG) in Artificial Intelligence AI

Marktechpost

In the rapidly developing fields of data science and Artificial Intelligence (AI), the search for increasingly effective systems is also increasing significantly. The development of Agentic Retrieval-Augmented Generation (RAG) is among the most revolutionary developments of recent times. This strategy is set to completely transform the way information is used and managed, offering a substantial improvement over current RAG systems.

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How AI Can Reshape Legal Education + Lawyer Training

Artificial Lawyer

AI will change not just legal work, but legal education and lawyer training – here are five examples of how. AI’s application to the law also raises key questions about evaluating legal work.

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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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Large Action Models (LAMs): The Next Frontier in AI-Powered Interaction

Unite.AI

Almost a year ago, Mustafa Suleyman, co-founder of DeepMind, predicted that the era of generative AI would soon give way to something more interactive: systems capable of performing tasks by interacting with software applications and human resources. Today, we're beginning to see this vision take shape with the development of Rabbit AI ‘s new AI-powered operating system, R1.

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Microsoft unveils new Copilot+ PCs featuring advanced AI capabilities

AI News

Microsoft has launched a new type of personal computer designed with AI capabilities, underscoring the company’s commitment to integrating cutting-edge technology across its product lineup. This new category not only boosts Microsoft’s ventures but also positions it to compete directly with AI-led advancements from tech giants such as Alphabet and Apple.

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Building Reliable Agent using Advanced Rag Techniques, LangGraph, and Cohere LLM

Analytics Vidhya

Introduction LLM Agents play an increasingly important role in the generative landscape as reasoning engines. But most of the agents have the shortcomings of failing or going into hallucinations. However, agents face formidable challenges within Large Language Models (LLMs), including context understanding, coherence maintenance, and dynamic adaptability.

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Effective Prompting with A Handful of Fundamentals

Eugene Yan

Description of post here (150 chars)

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NVIDIA Expands Collaboration With Microsoft to Help Developers Build, Deploy AI Applications Faster

NVIDIA

If optimized AI workflows are like a perfectly tuned orchestra — where each component, from hardware infrastructure to software libraries, hits exactly the right note — then the long-standing harmony between NVIDIA and Microsoft is music to developers’ ears. The latest AI models developed by Microsoft, including the Phi-3 family of small language models, are being optimized to run on NVIDIA GPUs and made available as NVIDIA NIM inference microservices.

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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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Illuminating AI: The Transformative Potential of Neuromorphic Optical Neural Networks

Unite.AI

Artificial intelligence (AI) has become a fundamental component of modern society, reshaping everything from daily tasks to complex sectors such as healthcare and global communications. As AI technology progresses, the intricacy of neural networks increases, creating a substantial need for more computational power and energy. This escalation not only heightens carbon emissions and generates more electronic waste but also adds to economic pressures through increased operational costs.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Journey to AI blog

Business leaders worldwide are asking their teams the same question: “Are we using the cloud effectively?” This quandary often comes with an accompanying worry: “Are we spending too much money on cloud computing?” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern.

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Researchers at NVIDIA AI Introduce ‘VILA’: A Vision Language Model that can Reason Among Multiple Images, Learn in Context, and Even Understand Videos

Marktechpost

The rapid evolution in AI demands models that can handle large-scale data and deliver accurate, actionable insights. Researchers in this field aim to create systems capable of continuous learning and adaptation, ensuring they remain relevant in dynamic environments. A significant challenge in developing AI models lies in overcoming the issue of catastrophic forgetting, where models fail to retain previously acquired knowledge when learning new tasks.

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15+ Github Machine Learning Repositories for Data Scientists

Analytics Vidhya

Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning – it would be GitHub. The sheer scale of GitHub, combined with the power of super data scientists from all over the globe, make it a must-use platform for anyone interested […] The post 15+ Github Machine Learning Repositories for Data Scientists appeared first on Analytics Vidhya.

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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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Watermarking AI-generated text and video with SynthID

DeepMind

Announcing our novel watermarking method for AI-generated text and video, and how we’re bringing SynthID to key Google products

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‘Get On the Train,’ NVIDIA CEO Says at ServiceNow’s Knowledge 2024

NVIDIA

Now’s the time to hop aboard AI, NVIDIA founder and CEO Jensen Huang declared Wednesday as ServiceNow unveiled a demo of futuristic AI avatars together with NVIDIA during a keynote at the Knowledge 24 conference in Las Vegas. “If something is moving a million times faster every 10 years, what should you do?” Huang asked, citing rapid advancements in AI capabilities. “The first thing you should do is instead of looking at the train, from the side is … get on the train, because on the

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AI Headphones Allow You To Listen to One Person in a Crowd

Unite.AI

In a crowded, noisy environment, have you ever wished you could tune out all the background chatter and focus solely on the person you're trying to listen to? While noise-canceling headphones have made great strides in creating an auditory blank slate, they still struggle to allow specific sounds from the wearer's surroundings to filter through. But what if your headphones could be trained to pick up on and amplify the voice of a single person, even as you move around a room filled with other co

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How will quantum impact the biotech industry?

IBM Journey to AI blog

The physics of atoms and the technology behind treating disease might sound like disparate fields. However, in the past few decades, advances in artificial intelligence, sensing, simulation and more have driven enormous impacts within the biotech industry. Quantum computing provides an opportunity to extend these advancements with computational speedups and/or accuracy in each of those areas.

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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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Microsoft Research Introduces Gigapath: A Novel Vision Transformer For Digital Pathology

Marktechpost

Digital pathology converts traditional glass slides into digital images for viewing, analysis, and storage. Advances in imaging technology and software drive this transformation, which has significant implications for medical diagnostics, research, and education. There is a chance to speed up advancements in precision health by a factor of ten because of the present generative AI revolution and the parallel digital change in biomedicine.

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Simplifying Document Parsing: Extracting Embedded Objects with LlamaParse

Analytics Vidhya

Introduction LlamaParse is a document parsing library developed by Llama Index to efficiently and effectively parse documents such as PDFs, PPTs, etc. Creating RAG applications on top of PDF documents presents a significant challenge many of us face, specifically with the complex task of parsing embedded objects such as tables, figures, etc. The nature of […] The post Simplifying Document Parsing: Extracting Embedded Objects with LlamaParse appeared first on Analytics Vidhya.

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Introducing Salesforce BYOM for Databricks

databricks

Salesforce and Databricks are excited to announce an expanded strategic partnership that delivers a powerful new integration - Salesforce Bring Your Own Model.

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Dynamic video content moderation and policy evaluation using AWS generative AI services

AWS Machine Learning Blog

Organizations across media and entertainment, advertising, social media, education, and other sectors require efficient solutions to extract information from videos and apply flexible evaluations based on their policies. Generative artificial intelligence (AI) has unlocked fresh opportunities for these use cases. In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS AI and generative AI services to provide a framework to streamline video extraction and eval

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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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Alexandr Yarats, Head of Search at Perplexity – Interview Series

Unite.AI

Alexandr Yarats is the Head of Search at Perplexity AI. He began his career at Yandex in 2017, concurrently studying at the Yandex School of Data Analysis. The initial years were intense yet rewarding, propelling his growth to become an Engineering Team Lead. Driven by his aspiration to work with a tech giant, he joined Google in 2022 as a Senior Software Engineer, focusing on the Google Assistant team (later Google Bard).

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Responsible AI can revolutionize tax agencies to improve citizen services

IBM Journey to AI blog

The new era of generative AI has spurred the exploration of AI use cases to enhance productivity, improve customer service, increase efficiency and scale IT modernization. Recent research commissioned by IBM® indicates that as many as 42% of surveyed enterprise-scale businesses have actively deployed AI, while an additional 40% are actively exploring the use of AI technology.

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NVIDIA AI Releases the TensorRT Model Optimizer: A Library to Quantize and Compress Deep Learning Models for Optimized Inference on GPUs

Marktechpost

Generative AI, despite its impressive capabilities, needs to improve with slow inference speed in its real-world applications. The inference speed is how long it takes for the model to produce an output after giving a prompt or input. Generative AI models, unlike their analytical counterparts, require complex calculations to generate creative text, images, or other outputs.

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How to Learn Python? [Step-by Step Guide]

Analytics Vidhya

Introduction Acquiring knowledge Python provides a variety of options for programmers, regardless of skill level. It is rewarding and pleasant with its simple syntax and large library ecosystem. You can make a lot of different kinds of applications with Python, from simple python code to difficult software packages. This guide provides resources, pointers, and guidance […] The post How to Learn Python?

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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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Fire It Up: Mozilla Firefox Adds Support for AI-Powered NVIDIA RTX Video

NVIDIA

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. Mozilla Firefox, the popular open-source browser, is the latest partner to incorporate NVIDIA RTX Video, a technology that uses AI to improve video quality on Windows PCs and workstations.

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Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support

AWS Machine Learning Blog

This post is co-written with Tom Famularo, Abhay Shah and Nicolette Kontor from Verisk. Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Through advanced analytics, software, research, and industry expertise across over 20 countries, Verisk helps build resilience for individuals, communities, and businesses.

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Announcing General Availability of Liquid Clustering

databricks

We’re excited to announce the General Availability of Delta Lake Liquid Clustering in the Databricks Data Intelligence Platform. Liquid Clustering is an innovative.

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