Tue.Oct 01, 2024

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The Damage From Fine-Tuning an AI Model Can Easily Be Recovered, Research Finds

Unite.AI

New research from the US indicates that fine-tuning an AI foundation model on your own data does not need to reduce or impair the functionality of the original model – and that a relatively simple fix can not only restore the capabilities of the original model, but actually improve the quality of the output that you're trying to get the (already trained) model to produce.

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Regulations to help or hinder: Cloudflare’s take

AI News

As AI reshapes the digital landscape, tech companies find themselves in a high-stakes game of regulatory chess, with each move potentially changing the possibilities stemming from innovation. The game board is especially intricate for global infrastructure providers like Cloudflare, involving as it does cybersecurity, data privacy, and content moderation in a complex policy framework.

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Top 8 Applications of RAGs in Workplaces

Analytics Vidhya

Introduction Retrieval-Augmented Generation (RAG) is one of the most exciting recent innovations in artificial intelligence (AI). RAGs combine the power of generative models, like GPT, with a retrieval system that searches for relevant information in real-time. This makes them highly effective tools for various job roles across various industries. Whether you’re a data scientist, a […] The post Top 8 Applications of RAGs in Workplaces appeared first on Analytics Vidhya.

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X-Force report reveals top cloud threats: AITM phishing, business email compromise, credential harvesting and theft

IBM Journey to AI blog

As we step into October and mark the start of Cybersecurity Awareness Month, organizations’ focus on protecting digital assets has never been more important. As innovative new cloud and generative AI solutions help advance today’s businesses, it’s also important to understand how these solutions have added to the complexity of today’s cyber threats, and how organizations can address them.

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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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3 Ways to Run Llama 3.2 on Your Device

Analytics Vidhya

Introduction Meta recently launched Llama 3.2, its latest multimodal model. This version offers improved language understanding, provides more accurate answers and generates high-quality text. It can now analyze and interpret images, making it even more versatile in understanding and responding to various input types! Llama 3.2 is a powerful tool that can help you with […] The post 3 Ways to Run Llama 3.2 on Your Device appeared first on Analytics Vidhya.

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Understanding SQL WHERE Clause

Analytics Vidhya

Introduction The WHERE clause is an essential component that is used in SQL statements. This option is used for filtering records in order to give out specific data from the database files. Suppose you have a huge list of customers storing their information in your database; you need to search for customers from a specific […] The post Understanding SQL WHERE Clause appeared first on Analytics Vidhya.

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How Google Outranks Medium.com Plagiarized Content Ahead of Original Content

Unite.AI

For years, Google has emphasized to the webmaster community that original, high-quality content is key to ranking well in search results. Google’s systems aim to reward content that demonstrates E-E-A-T (expertise, experience, authoritativeness, and trustworthiness), regardless of how the content is produced. This focus on quality has been central to delivering reliable search results.

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Google’s SigLIP: A Significant Momentum in CLIP’s Framework

Analytics Vidhya

Introduction Image classification has found a huge application in real life by introducing better computer vision models and technology with more accurate output. There are many use cases for these models, but zero-shot classification and image pairs are some of the most popular applications of these models. Google’s SigLIP image classification model is a big […] The post Google’s SigLIP: A Significant Momentum in CLIP’s Framework appeared first on Analytics Vidhya.

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LanguaTalk Review: Is This the Best Language Learning Hack?

Unite.AI

Learning a new language is a big commitment. With LanguaTalk , the journey feels much more manageable. I've tried other popular language learning platforms , like Duolingo , Babbel , and Pronounce. While these platforms are great for structured lessons and basic practice, LanguaTalk stands out for its personalized, one-on-one sessions with native speakers and AI characters.

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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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NVIDIA AI Summit DC: Industry Leaders Gather to Showcase AI’s Real-World Impact

NVIDIA

Washington, D.C., is where possibility has always met policy, and AI presents unparalleled opportunities for tackling global challenges. NVIDIA’s AI Summit in Washington, set for October 7-9, will gather industry leaders to explore how AI addresses some of society’s most significant challenges. Held at the Ronald Reagan Building and JW Marriott in the heart of the nation’s capital, the event will focus on the potential of AI to drive breakthroughs in healthcare, cybersecurity, manufacturing and

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DeepL Boosts Global Presence with New US Tech Hub and Leadership Appointments

Unite.AI

DeepL , a leading innovator in Language AI, has continued its expansion with the launch of its first US-based technology hub in New York City, a move that reinforces the company's growing footprint in the United States. This tech hub is set to drive product research, innovation, and development as the demand for DeepL’s enterprise-ready AI translation and writing tools surges among businesses in the US.

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Google Releases FRAMES: A Comprehensive Evaluation Dataset Designed to Test Retrieval-Augmented Generation (RAG) Applications on Factuality, Retrieval Accuracy, and Reasoning

Marktechpost

Retrieval-augmented generation (RAG) has been a transformative approach in natural language processing, combining retrieval mechanisms with generative models to enhance factual accuracy and reasoning capabilities. RAG systems excel in generating complex responses by leveraging external sources and synthesizing the retrieved information into coherent narratives.

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Dr. Mehdi Asghari, President & CEO of SiLC Technologies – Interview Series

Unite.AI

Mehdi Asghari is currently the President & Chief Executive Officer at SiLC Technologies, Inc. Prior to this, he worked as the CTO & SVP-Research & Development at Kotura, Inc. from 2006 to 2013. He also held positions as Vice President-Silicon Photonics at Mellanox Technologies Ltd. and Vice President-Research & Development at Bookham, Inc.

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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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‘bge-en-icl’: A Novel AI Model that Employs Few-Shot Examples to Produce High-Quality Text Embeddings

Marktechpost

Generating versatile and high-quality text embeddings across various tasks is a significant challenge in natural language processing (NLP). Current embedding models, despite advancements, often struggle to handle unseen tasks and complex retrieval operations effectively. These limitations hinder their ability to adapt dynamically to diverse contexts, a critical requirement for real-world applications.

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Build Compound AI Systems Faster with Databricks Mosaic AI

databricks

Many of our customers are shifting from monolithic prompts with general-purpose models to specialized compound AI systems to achieve the quality needed for.

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This AI Paper from Google Unveils How Bayesian Neural Fields Revolutionize Spatiotemporal Forecasting for Large Datasets

Marktechpost

One of the central challenges in spatiotemporal prediction is efficiently handling the vast and complex datasets produced in diverse domains such as environmental monitoring, epidemiology, and cloud computing. Spatiotemporal datasets consist of time-evolving data observed at different spatial locations, making their analysis critical for tasks like forecasting air quality, tracking disease spread, or predicting resource demands in cloud infrastructure.

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What Sam Altman Knows About AI’s Future That You Don’t

Marketing AI Institute

The news out of OpenAI this week isn’t all chaotic… CEO Sam Altman also published a prophetic post titled The Intelligence Age that offers a bold vision of AI’s near-future impact on society.

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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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This AI Paper from KAIST AI Introduces a Novel Approach to Improving LLM Inference Efficiency in Multilingual Settings

Marktechpost

Natural language processing (NLP) has experienced a surge in progress with the emergence of large language models (LLMs), which are utilized in various applications such as text generation, translation, and conversational agents. These models can process and understand human languages at an unprecedented level, enabling seamless communication between machines and users.

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[The AI Show Episode 117]: OpenAI’s Wild Week, Sam Altman’s Prophetic Post, Meta’s AR Breakthrough & California’s AI Bill Veto

Marketing AI Institute

It’s been a wild and busy week full of drama and updates at OpenAI. Mike and Paul break down OpenAI's rollercoaster week, from the rollout of Advanced Voice mode to the shocking executive departures and reports of internal chaos. We also dissect Sam Altman's prophetic new article, "The Intelligence Age," Meta Connect 2024, updates to SB-1047, the FTC’s AI crackdown, Anthropic’s valuation, and more.

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Self-Training on Image Comprehension (STIC): A Novel Self-Training Approach Designed to Enhance the Image Comprehension Capabilities of Large Vision Language Models (LVLMs)

Marktechpost

Large language models (LLMs) have gained significant attention due to their advanced capabilities in processing and generating text. However, the increasing demand for multimodal input processing has led to the development of vision language models. These models combine the strengths of LLMs with image encoders to create large vision language models (LVLMs).

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OpenAI's Insane Week: Resignations, Controversies, and Delays

Marketing AI Institute

It’s been a whirlwind week for OpenAI, which found itself at the center of a storm of executive departures, controversial reports, and rampant speculation about the company’s future.

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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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Model Collapse in the Synthetic Data Era: Analytical Insights and Mitigation Strategies

Marktechpost

Large language models (LLMs) and image generators face a critical challenge known as model collapse. This phenomenon occurs when the performance of these AI systems deteriorates due to the increasing presence of AI-generated data in their training datasets. As generative AI evolves, evidence suggests that retraining models on their outputs can lead to various anomalies in subsequent generations.

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Robin AI’s James Clough: ‘Don’t Skate To Where The Puck Is’

Artificial Lawyer

‘Don’t skate to where the puck is, but to where it will be,’ says James Clough, CTO and co-founder of Robin AI, as he explains the doc review specialist’s strategy to Artificial Lawyer.

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Microsoft Halts Windows 11 Update Rollout Due to Critical Issues

Extreme Tech

Some of the errors are Blue/Green Screen of Death errors, boot loops and system unresponsiveness, USB port failures, and more.

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Unlocking Financial Insights with a Custom Text-to-SQL Application

databricks

Introduction Retrieval-augmented generation (RAG) has revolutionized how enterprises harness their unstructured knowledge base using Large Language Models (LLMs), and its potential has far-reaching.

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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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TSMC Could be 10 Years Ahead of China in Chip Development

Extreme Tech

The company's 2nm process could theoretically put it almost a decade ahead of China, according to Taiwan's tech minister.

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AVEVA World Conference: Redefining Industrial AI with AVEVA & Databricks

databricks

The upcoming AVEVA World Conference in Paris (Oct 14-17) promises to be a landmark event for the future of industrial AI, with Databricks playing a pivotal role in shaping this new paradigm. Building on our strategic collaboration, Databricks and AVEVA are set to showcase how our combined technologies are driving unprecedented outcomes for industrial organizations worldwide.

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Maintain access and consider alternatives for Amazon Monitron

AWS Machine Learning Blog

Amazon Monitron , the Amazon Web Services (AWS) machine learning (ML) service for industrial equipment condition monitoring, will no longer be available to new customers effective October 31, 2024. Existing customers of Amazon Monitron will be able to purchase devices and use the service as normal. We will continue to sell devices until July 2025 and will honor the 5-year device warranty, including service support.