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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Generative AI Deep Dive: Advancing from Proof of Concept to Production

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, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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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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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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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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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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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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Leading the Development of Profitable and Sustainable Products

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.

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What Went Wrong With the Humane AI Pin?

Unite.AI

Humane, a startup founded by former Apple employees Imran Chaudhri and Bethany Bongiorno, recently launched its highly anticipated wearable AI assistant, the Humane AI Pin. Now, the company is already looking for a buyer. The device promised to revolutionize the way people interact with technology, offering a hands-free, always-on experience that would reduce dependence on smartphones.

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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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‘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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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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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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How do Language Agents Perform in Translating Long-Text Novels? Meet TransAgents: A Multi-Agent Framework Using LLMs to Tackle the Complexities of Literary Translation

Marktechpost

Machine translation (MT) has made impressive progress in recent years, driven by breakthroughs in deep learning and neural networks. However, the challenge of literary translations for MT systems is difficult to solve. Literary texts, known for their complex language, figurative expressions, cultural variations, and unique feature styles, create problems that are hard for machines to overcome Due to this complexity, literary translation becomes one of the most challenging areas within machine t

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5 Essential Free Tools for Getting Started with LLMs

Machine Learning Mastery

Image created by Author using Midjourney Large language models (LLMs) have become extremely prominent and useful for all sorts of tasks, but new users may find the large number of LLM tools and utilities intimidating. This article focuses on 5 of the available and widely-useful such tools, all of which are no-cost and created to […] The post 5 Essential Free Tools for Getting Started with LLMs appeared first on MachineLearningMastery.com.

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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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Boeing Will Launch Starliner With Helium Leak

Extreme Tech

NASA and Boeing have judged the leak to be within safety tolerances and will proceed with the June 1 launch.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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NVIDIA Blackwell Platform Pushes the Boundaries of Scientific Computing

NVIDIA

Quantum computing. Drug discovery. Fusion energy. Scientific computing and physics-based simulations are poised to make giant steps across domains that benefit humanity as advances in accelerated computing and AI drive the world’s next big breakthroughs. NVIDIA unveiled at GTC in March the NVIDIA Blackwell platform , which promises generative AI on trillion-parameter large language models (LLMs) at up to 25x less cost and energy consumption than the NVIDIA Hopper architecture.

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Here’s How You Can Fine-tune Llama 2 with Unsloth  

Analytics Vidhya

Introduction Training and fine-tuning language models can be complex, especially when aiming for efficiency and effectiveness. One effective approach involves using parameter-efficient fine-tuning techniques like low-rank adaptation (LoRA) combined with instruction fine-tuning. This article outlines the key steps and considerations to fine-tune LlaMa 2 large language model using this methodology.

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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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Tips for Deploying Machine Learning Models Efficiently

Machine Learning Mastery

Introduction The process of deploying machine learning models is an important part of deploying AI technologies and systems to the real world. Unfortunately, the road to model deployment can be a tough one. The process of deployment is often characterized by challenges associated with taking a trained model — the culmination of a lengthy data-preparation […] The post Tips for Deploying Machine Learning Models Efficiently appeared first on MachineLearningMastery.com.

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Brick & Mortar Retail Relevance: How to Stay Ahead of the Curve

Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

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Making Sense of the Mess: LLMs Role in Unstructured Data Extraction

Unite.AI

Recent advancements in hardware such as Nvidia H100 GPU, have significantly enhanced computational capabilities. With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction.

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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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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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10 Innovative Uses of Meta AI for Everyday Tasks

Analytics Vidhya

Introduction Meta AI provides a wide array of functions designed to enhance communication, efficiency, and creativity across various fields. These functions range from answering queries and generating text to translating languages and creating images. This article highlights 10 uses of Meta AI, showcasing its potential to transform the way we use AI chatbots for everyday […] The post 10 Innovative Uses of Meta AI for Everyday Tasks appeared first on Analytics Vidhya.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Researchers from Cerebras & Neural Magic Introduce Sparse Llama: The First Production LLM based on Llama at 70% Sparsity

Marktechpost

Natural Language Processing (NLP) is a cutting-edge field that enables machines to understand, interpret, & generate human language. It has applications in various domains, such as language translation, text summarization, sentiment analysis, and the development of conversational agents. Large language models (LLMs) have significantly advanced these applications by leveraging vast data to perform tasks with high accuracy, almost matching human performance.

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Lawyers With AI Skills Can Get ‘Up to 49% Higher Pay’ – PwC

Artificial Lawyer

The new AI Jobs Barometer report by Big Four firm PwC has found that lawyers in roles where ‘AI skills’ are a key factor are able to get a pay premium of 49% in the US and 27% in the UK.

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Star Skips Supernova Stage, Collapses Directly Into a Black Hole

Extreme Tech

The binary star system VFTS 243 could help scientists understand why some stars vanish more suddenly than others.

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