Tue.May 28, 2024

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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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Gil Pekelman, Atera: How businesses can harness the power of AI

AI News

TechForge recently caught up with Gil Pekelman, CEO of all-in-one IT management platform, Atera, to discuss how AI is becoming the IT professionals’ number one companion. Can you tell us a little bit about Atera and what it does? We launched the Atera all-in-one platform for IT management in 2016, so quite a few years ago. And it’s very broad.

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Building a Product Discovery API with Gemini Vision Pro, LlamaIndex & FastAPI

Analytics Vidhya

Introduction The rapid expansion of the Generative AI model capabilities enables us to develop many businesses around GenAI. Today’s model not only generates text data but also, with the powerful multi-modal model like GPT-4, Gemini can leverage image data to generate information. This capability has huge potential in the business world such as you can […] The post Building a Product Discovery API with Gemini Vision Pro, LlamaIndex & FastAPI appeared first on Analytics Vidhya.

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Data protection strategy: Key components and best practices

IBM Journey to AI blog

Virtually every organization recognizes the power of data to enhance customer and employee experiences and drive better business decisions. Yet, as data becomes more valuable, it’s also becoming harder to protect. Companies continue to create more attack surfaces with hybrid models, scattering critical data across cloud, third-party and on-premises locations, while threat actors constantly devise new and creative ways to exploit vulnerabilities.

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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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30 Exciting New Features by Canva

Analytics Vidhya

Introduction Canva, a leader in digital content creation, recently held its annual Canva Create 2024 event in Los Angeles. At the event, the company unveiled a suite of innovative features and tools designed to enhance productivity and collaboration across various teams. These updates are set to revolutionize how organizations create and manage visual content.

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Tech Titan Aamod Sathe on AI, Startups, and the Future of Data

Analytics Vidhya

In our recent Leading with Data session, we were thrilled to welcome Aamod Sathe, a data science and analytics leader with nearly two decades of experience. Aamod currently leads the analytics team for MetaWorks under Reality Labs at Meta, where he is helping to build the metaverse and the future of work. With a strong […] The post Tech Titan Aamod Sathe on AI, Startups, and the Future of Data appeared first on Analytics Vidhya.

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Filter profanity from audio files using Node.js

AssemblyAI

With the explosion of audio and video content available online, it is hard to ensure this content does not include swear words and other profanity. With profanity detection AI models, developers can automatically filter out offensive language at scale. In this tutorial, you’ll learn how to use Node.js to filter profanity from audio files. By the end of this guide, you'll be equipped to implement this functionality in just a few lines of code, enhancing both user experience and conten

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Harnessing Silicon: How In-House Chips Are Shaping the Future of AI

Unite.AI

Artificial intelligence, like any software, relies on two fundamental components: the AI programs, often referred to as models, and the computational hardware, or chips, that drive these programs. So far, the focus in AI development has been on refining the models, while the hardware was typically seen as a standard component provided by third-party suppliers.

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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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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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Artificial Lawyer Launches Legal Tech Directory With Theorem Partnership

Artificial Lawyer

Here’s a big announcement folks! Artificial Lawyer is launching a new legal tech directory in partnership with Theorem. The directory, which is hosted and managed.

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Aaren: Rethinking Attention as Recurrent Neural Network RNN for Efficient Sequence Modeling on Low-Resource Devices

Marktechpost

Sequence modeling is a critical domain in machine learning, encompassing applications such as reinforcement learning, time series forecasting, and event prediction. These models are designed to handle data where the order of inputs is significant, making them essential for tasks like robotics, financial forecasting, and medical diagnoses. Traditionally, Recurrent Neural Networks (RNNs) have been used for their ability to process sequential data efficiently despite their limitations in parallel p

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Juralio Partners With Ex-EY Eric Eck For European Growth

Artificial Lawyer

Juralio, the legal matter mapping and budgeting platform, has formed a partnership with Guirbaden, an advisory outfit created by Eric Eck, who was previously with.

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Researchers at Arizona State University Evaluates ReAct Prompting: The Role of Example Similarity in Enhancing Large Language Model Reasoning

Marktechpost

Large Language Models (LLMs) have advanced rapidly, especially in Natural Language Processing (NLP) and Natural Language Understanding (NLU). These models excel in text generation, summarization, translation, and question answering. With these capabilities, researchers are keen to explore their potential in tasks that require reasoning and planning.

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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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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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This AI Paper from Cornell Unravels Causal Complexities in Interventional Probability Estimation

Marktechpost

Causal models are crucial for explaining the causal relationships among variables. These models help to understand how various factors interact and influence each other in complex systems. However, it is challenging to find the probabilities related to interventions and conditioning at the same time. Moreover, AI research has focused on two types of models: functional causal models and causal Bayesian networks (CBN).

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The Primary Purpose of Legal Tech Is….?

Artificial Lawyer

What is legal tech actually for? Why do so many talented people work so hard in this sector? Why is so much time and money invested in this endeavour?

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Overcoming Gradient Inversion Challenges in Federated Learning: The DAGER Algorithm for Exact Text Reconstruction

Marktechpost

Federated learning enables collaborative model training by aggregating gradients from multiple clients, thus preserving their private data. However, gradient inversion attacks can compromise this privacy by reconstructing the original data from the shared gradients. While effective on image data, these attacks need help with text due to their discrete nature, leading to only approximate recovery of small batches and short sequences.

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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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[The AI Show Episode 99]: Microsoft Build’s AI Announcement, OpenAI Scarlett Johansson Controversy, and Google’s Awful AI Overviews

Marketing AI Institute

In our first episode of the week, join Mike Kaput and Paul Roetzer as they explore Microsoft's new AI-infused PCs, Copilot AI agents, and Team Copilot. Our two hosts also look into the controversy surrounding GPT-4o's Sky voice and its alleged similarity to Scarlett Johansson, and discuss Sundar Pichai's thoughts on AI's influence on search traffic and the accuracy of Google's AI Overviews.

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Inductive Biases in Deep Learning: Understanding Feature Representation

Marktechpost

Machine learning research aims to learn representations that enable effective downstream task performance. A growing subfield seeks to interpret these representations’ roles in model behaviors or modify them to enhance alignment, interpretability, or generalization. Similarly, neuroscience examines neural representations and their behavioral correlations.

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YouTube's Ad Blocker Offensive Now Mutes Videos, Skips to the End

Extreme Tech

Both errors appear to disappear after users uninstall or disengage their ad blockers.

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NV-Embed: NVIDIA’s Groundbreaking Embedding Model Dominates MTEB Benchmarks

Marktechpost

NVIDIA has recently introduced NV-Embed on Hugging Face , a revolutionary embedding model poised to redefine the landscape of NLP. This model, characterized by its impressive versatility and performance, has taken the top spot across multiple tasks in the Massive Text Embedding Benchmark (MTEB). Licensed under cc-by-nc-4.0 and built on a large language model (LLM) architecture, NV-Embed showcases various architectural designs and training procedures that significantly enhance its performance as

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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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iManage Forms Data Protection Partnership With HYCU

Artificial Lawyer

iManage has today announced a partnership with HYCU, a leader in ‘data protection as a service’, to give iManage Cloud customers a new capability for.

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The Evolution of the GPT Series: A Deep Dive into Technical Insights and Performance Metrics From GPT-1 to GPT-4o

Marktechpost

The Generative Pre-trained Transformer (GPT) series, developed by OpenAI, has revolutionized the field of NLP with its groundbreaking advancements in language generation and understanding. From GPT-1 to GPT-4o and its subsequent iterations, each model has significantly improved architecture, training data, and performance. Let’s do a comprehensive technical overview of the GPT series, backed by key metrics and insights highlighting their transformative impact on AI.

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The EV Slowdown Isn't As Dramatic As It Looks: Report

Extreme Tech

A new analysis suggests that despite recent events, the electric vehicle market is 'on the verge of its next growth spurt.

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DALL-E, CLIP, VQ-VAE-2, and ImageGPT: A Revolution in AI-Driven Image Generation

Marktechpost

AI has seen groundbreaking advancements in recent years, particularly in image generation. Four key models, DALL-E, CLIP, VQ-VAE-2, and ImageGPT, stand out as transformative technologies that have redefined what AI can accomplish in generating and understanding visual content. Each model has unique attributes and capabilities, pushing the boundaries of creativity and utility in AI-driven image generation.

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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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This New Gigabyte Motherboard for AMD Zen 5 Supports a 128-Pound GPU

Extreme Tech

The company has outfitted the PCIe slot with thick 'armor' to hold an impossibly huge graphics card.

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Deep Learning in Healthcare: Challenges, Applications, and Future Directions

Marktechpost

Biomedical data is increasingly complex, high-dimensional, and heterogeneous, encompassing sources such as electronic health records (EHRs), imaging, -omics data, sensors, and text. Traditional data mining and statistical methods must improve with this complexity, often requiring extensive feature engineering and domain expertise to extract meaningful insights.

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OpenAI's Scarlett Johansson Controversy

Marketing AI Institute

OpenAI is facing serious backlash after allegations it used actress Scarlett Johansson's voice without permission for one of the updated voices in its new GPT-4o model.

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