Fri.Nov 29, 2024

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Prescriptive AI: The Smart Decision-Maker for Healthcare, Logistics, and Beyond

Unite.AI

Artificial Intelligence (AI) has made significant progress in recent years, transforming how organizations manage complex data and make decisions. With the vast amount of data available, many industries face the critical challenge of acting on real-time insights. This is where prescriptive AI steps in. Unlike traditional predictive models, which simply forecast outcomes based on past data, prescriptive AI recommends specific actions to achieve optimal results.

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2024 for OpenAI: Highs, Lows, and Everything in Between

Analytics Vidhya

The year 2024 was nothing short of a rollercoaster for OpenAI, a company that has become synonymous with the cutting edge of artificial intelligence. From groundbreaking product launches to leadership shake-ups and even legal disputes, OpenAI navigated a whirlwind of events. These happenings showcased both the promise and the challenges of building advanced AI systems […] The post 2024 for OpenAI: Highs, Lows, and Everything in Between appeared first on Analytics Vidhya.

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Navigating the 2025 Challenges of Adopting Enterprise AI

Unite.AI

The business world has witnessed a phenomenal surge in the adoption of artificial intelligence (AI) — and specifically generative AI (Gen AI). According to Deloitte estimates , enterprise spending on Gen AI in 2024 is poised to increase by 30 percent from the 2023 figure of USD 16 billion. In just a year, this technology has exploded on the scene to reshape strategic roadmaps of organizations.

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Performance Evaluation of Small Language Models: Insights and Comparisons

Analytics Vidhya

As a developer, you’re likely familiar with the power of large language models (LLMs) but also the challenges they bring—extensive computational requirements and high latency. Enter Small Language Models (SLMs)—compact, efficient versions of LLMs with fewer than 10 billion parameters. Designed for speed and resource efficiency, SLMs are tailor-made for scenarios like edge computing and […] The post Performance Evaluation of Small Language Models: Insights and Comparisons appeared first on

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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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Canadian news companies sue OpenAI

Flipboard

A group of Canadian news and media companies filed a lawsuit Friday against OpenAI, alleging that the ChatGPT maker has infringed their copyrights and unjustly enriched itself at their expense.

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Artificial intelligence changes across the US

Flipboard

An increasing number of companies are using artificial intelligence (AI) for everyday tasks. Much of the technology is helping with productivity and keeping the public safer. However, some industries are pushing back against certain aspects of AI.

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5 ChatGPT Prompts To Help Achieve New Year Resolutions in 2025

Analytics Vidhya

The start of a new year is always a great opportunity to reflect on what we want to achieve. It’s the perfect time to set goals, plan positive changes, and make our dreams a reality. But let’s be real—keeping those resolutions isn’t always easy. What if you had a personal assistant who could help you […] The post 5 ChatGPT Prompts To Help Achieve New Year Resolutions in 2025 appeared first on Analytics Vidhya.

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Study of ChatGPT citations makes dismal reading for publishers

Flipboard

As more publishers cut content licensing deals with ChatGPT-maker OpenAI, a study put out this week by the Tow Center for Digital Journalism — looking at how the AI chatbot produces citations (i.e. sources) for publishers’ content — makes for interesting, or, well, concerning, reading.

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Patrick Leung, CTO of Faro Health – Interview Series

Unite.AI

Patrick Leung , CTO of Faro Health, drives the company’s AI-enabled platform, which simplifies and speeds up clinical trial protocol design. Faro Health’s tools enhance efficiency, standardization, and accuracy in trial planning, integrating data-driven insights and streamlined processes to reduce trial risks, costs, and patient burden. Faro Health empowers clinical research teams to develop optimized, standardized trial protocols faster, advancing innovation in clinical research.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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AI Outperforms Experts in Predicting Study Outcomes

Flipboard

A new study demonstrates that large language models (LLMs) can predict the outcomes of neuroscience studies more accurately than human experts, achieving 81% accuracy compared to 63% for neuroscientists.

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Andrew Ng’s Team Releases ‘aisuite’: A New Open Source Python Library for Generative AI

Marktechpost

Generative AI (Gen AI) is transforming the landscape of artificial intelligence, opening up new opportunities for creativity, problem-solving, and automation. Despite its potential, several challenges arise for developers and businesses when implementing Gen AI solutions. One of the most prominent issues is the lack of interoperability between different large language models (LLMs) from multiple providers.

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How Indigenous engineers are using AI to preserve their culture

Flipboard

Indigenous languages are rapidly disappearing, and AI could help preserve them, according to Indigenous technologists. Indigenous researchers are up against a ticking clock: Of the 4,000 Indigenous languages worldwide, one dies every two weeks with its last speaker.

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Improve the performance of your Generative AI applications with Prompt Optimization on Amazon Bedrock

AWS Machine Learning Blog

Prompt engineering refers to the practice of writing instructions to get the desired responses from foundation models (FMs). You might have to spend months experimenting and iterating on your prompts, following the best practices for each model, to achieve your desired output. Furthermore, these prompts are specific to a model and task, and performance isn’t guaranteed when they are used with a different FM.

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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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Anthropic's Claude: The AI Junior Employee Transforming Business

Flipboard

Large Language Models (LLMs) like ChatGPT and Claude have yet to match the versatility of human workers. This is partly because AI relies on uploaded data for context. Thus, AI tools have primarily served as co-pilots, helping users complete specific tasks, but unable to assist autonomously.

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PRIME Intellect Releases INTELLECT-1 (Instruct + Base): The First 10B Parameter Language Model Collaboratively Trained Across the Globe

Marktechpost

In recent years, the evolution of artificial intelligence has brought forth increasingly sophisticated large language models (LLMs). However, training these models remains a complex challenge due to their immense computational requirements. Traditionally, training such models has been possible only in centralized environments with high-bandwidth interconnects, typically within large data centers controlled by a few tech giants.

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Exploring the benefits of artificial intelligence while maintaining digital sovereignty

Flipboard

Around the world, organizations are evaluating and embracing artificial intelligence (AI) and machine learning (ML) to drive innovation and efficiency. From accelerating research and enhancing customer experiences to optimizing business processes, improving patient outcomes, and enriching public services, the transformative potential of AI is being realized across sectors.

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Enhancing Deep Learning-Based Neuroimaging Classification with 3D-to-2D Knowledge Distillation

Marktechpost

Deep learning techniques are increasingly applied to neuroimaging analysis, with 3D CNNs offering superior performance for volumetric imaging. However, their reliance on large datasets is challenging due to the high cost and effort required for medical data collection and annotation. As an alternative, 2D CNNs utilize 2D projections of 3D images, which often limits volumetric context, affecting diagnostic accuracy.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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AI Deepfakes On The Rise Causing Billions In Fraud Losses

Flipboard

Artificial intelligence has so much to offer to society, but AI deepfakes are creating a multi-billion dollar criminal industry.

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Black Friday Deal: Apple MacBook Air With M3 Chip Now 23% Off, Just $844

Extreme Tech

Save $255 on this svelte 13-inch laptop with 16GB RAM and a 256GB SSD.

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Tips for Handling Large Datasets in Python

Flipboard

Working with large datasets is common but challenging. Here are some tips to make working with such large datasets in Python simpler.

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Deep Dive: Parameter-Efficient Model Adaptation with LoRA and Spectrum

Julien Simon

In this deep dive video, we zoom in on two popular techniques for parameter-efficient training, LoRA/QLoRA and Spectrum. We discuss their mathematical foundations in detail, including Singular Value Decomposition (SVD). Then, we look at some benchmarks on popular Small Language Models, Mistral-7b and Llama-3.1–8b. We conclude that Spectrum is the better choice, both in terms of training speed and model quality, and is even competitive with the accuracy of full fine-tuning.

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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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Why Anthropic’s Model Context Protocol Is A Big Step In The Evolution Of AI Agents

Flipboard

AI agents and agentic workflows are the current buzzwords among developers and technical decision makers.

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Last Day: 50% Discount (Forever)

Artificial Corner

Hi! You have a few hours left to get an annual subscription to Artificial Corner at half the usual price ($45 instead of $95). Although this is a special offer for Black Friday, this 50% discount will remain forever for those who take advantage of it now!

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10 Essential Conda Commands for Data Science

Flipboard

This is a collection of the 10 most frequently used Conda commands that every data scientist, machine learning engineer, or Python developer should have at their fingertips.

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SmallCon: Free virtual conference for GenAI builders ft. Meta, DoorDash, Mistral

TheSequence

Join AI leaders from Meta , Mistral , Salesforce , DoorDash , Harvey AI , Nubank , Hugging Face, and more at SmallCon on Dec 11th for deep-dive tech talks, panel discussions, and live demos on the latest tech and trends in GenAI. You'll learn what it takes to build the GenAI stack of the future and put your SLMs into production! Sneak peek at the agenda: The Future is Small: Why Apple is Betting Big on Small Models Unlocking Enterprise Transformation with GenAI Trends in GenAI: What's New in SLM

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Ten Companies to Watch in AI Drug Discovery

Flipboard

In AI-based drug discovery—a field benefiting from a cumulative investment of $60 billion—the leaders are making real progress toward approved therapies.

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Streamlining Process Configuration in Machine Learning with Hydra

Pickl AI

Summary: Hydra simplifies process configuration in Machine Learning by dynamically managing parameters, organising configurations hierarchically, and enabling runtime overrides. It enhances scalability, experimentation, and reproducibility, allowing ML teams to focus on innovation. With Hydra, managing complex workflows becomes efficient, ensuring consistency and flexibility across development, testing, and production environments Introduction Managing process configuration in Machine Learning i

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This AI app will turn your reading list into a podcast with digital hosts

Flipboard

Podcasts can be a great way to learn complex subjects, but not everything you're reading has been discussed in an episode.

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