Sun.Nov 17, 2024

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Rethinking Scaling Laws in AI Development

Unite.AI

As developers and researchers push the boundaries of LLM performance, questions about efficiency loom large. Until recently, the focus has been on increasing the size of models and the volume of training data, with little attention given to numerical precision—the number of bits used to represent numbers during computations. A recent study from researchers at Harvard, Stanford, and other institutions has upended this traditional perspective.

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A.I. Chatbots Defeated Doctors at Diagnosing Illness

Flipboard

Dr. Adam Rodman, an expert in internal medicine at Beth Israel Deaconess Medical Center in Boston, confidently expected that chatbots built to use artificial intelligence would help doctors diagnose illnesses. He was wrong. Instead, in a study Dr.

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professionals

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Building Multi-Agent AI Systems From Scratch: OpenAI vs. Ollama

Towards AI

Last Updated on November 17, 2024 by Editorial Team Author(s): Isuru Lakshan Ekanayaka Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: [link] In the dynamic realm of artificial intelligence, multi-agent systems have emerged as a transformative approach for addressing complex tasks through collaboration and specialization.

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Norwegian startup Factiverse wants to fight disinformation with AI

Flipboard

In the wake of the U.S. 2024 presidential election, one fact became clear: Disinformation proliferated online at a startling rate, shaping Americans’ views about each candidate as well as a diverse set of topics, including public health, climate change, and immigration.

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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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How To Learn Any Language Efficiently With AI?

Towards AI

Last Updated on November 18, 2024 by Editorial Team Author(s): Nicolas MARTIN Originally published on Towards AI. Learning a language is often difficult and requires dozens of classes until reaching a reasonable level. Unfortunately, a lot of people in the world cannot afford to have quality classes. In addition, we can learn a language from books, but we don’t have feedback about our pronunciation or actual level.

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How To Learn Any Language Efficiently With AI?

Towards AI

Last Updated on November 18, 2024 by Editorial Team Author(s): Nicolas MARTIN Originally published on Towards AI. Learning a language is often difficult and requires dozens of classes until reaching a reasonable level. Unfortunately, a lot of people in the world cannot afford to have quality classes. In addition, we can learn a language from books, but we don’t have feedback about our pronunciation or actual level.

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AI is supposed to make applying to jobs easier — but it might be creating another problem

Flipboard

Companies have touted new AI technology that allows users to apply to thousands of jobs per day, flooding job openings with resumes. Artificial Intelligence is reshaping the job application process, simplifying some aspects — and creating new potential frictions in others.

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BEAL: A Bayesian Deep Active Learning Method for Efficient Deep Multi-Label Text Classification

Marktechpost

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled data, which is costly and time-consuming. Active learning helps optimize this process by selecting the most informative unlabeled samples for annotation, reducing the labeling effort.

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Meta Opens Its AI Models for the (U.S.) Military

Flipboard

Meta's Llama AI model is being used by national defense agencies. Despite Meta's stance against military use, it now supports U.S. defense applications. This shift raises questions about AI regulation and the global AI arms race.

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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security risks before they become problems.

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ChatGPT: Trading-Up for a More Secure Version

Robot Writers AI

While many businesses understandably have data privacy and security concerns when it comes to using ChatGPT, the good news is they can opt for more sophisticated versions of the tech to assuage those qualms. In a phrase, ChatGPT’s maker OpenAI has been quietly beefing-up privacy and security options for customers willing to pay a bit more for peace-of-mind.

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AI and automation "could cause IT service desks to go extinct"

Flipboard

The traditional IT help desk, often the backbone of enterprise tech support, is facing a seismic shift as digital landscapes grow more complex and …

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Meet Memoripy: A Python Library that Brings Real Memory Capabilities to AI Applications

Marktechpost

Artificial intelligence systems often struggle with retaining meaningful context over extended interactions. This limitation poses challenges for applications such as chatbots and virtual assistants, where maintaining a coherent conversation thread is essential. Most traditional AI models operate in a stateless manner, focusing solely on immediate inputs without considering the continuity of prior exchanges.

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A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities

Flipboard

Biomedical image analysis is fundamental for biomedical discovery. Holistic image analysis comprises interdependent subtasks such as segmentation, detection and recognition, which are tackled separately by traditional approaches. Here, we propose BiomedParse, a biomedical foundation model that can jointly conduct segmentation, detection and recognition across nine imaging modalities.

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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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Evaluating and Monitoring LLM Agents: Tools, Metrics, and Best Practices

Towards AI

Author(s): Chinmay Bhalerao Originally published on Towards AI. This blog includes the tools that you can use to monitor and assess the performance of the Agentic approach This member-only story is on us. Upgrade to access all of Medium. Image created by author, Background image by Hollywood reporter Imagine a team of virtual assistants collaborating to handle customer support queries seamlessly.

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As AI and megaplatforms take over, the hyperlinks that built the web may face extinction

Flipboard

Links have been essential tools for navigating the web and sourcing information – but they are on the decline as tech companies try to keep audiences from clicking away.

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Support Vector Machine (SVM) Algorithm

Marktechpost

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are particularly effective when dealing with complex datasets. The core principle behind SVM is to identify the optimal hyperplane that effectively separates data points into different classes while maximizing the margin between them.

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Musk's concerns over Google DeepMind 'AI Dictatorship' revealed in emails from 2016 — communications released during the recent OpenAI court case

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Elon Musk's lawsuit against OpenAI has revealed a lot of juicy emails detailing the thoughts of the nonprofit's leadership.

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Trial Prep: What Attorneys Really Want (And How to Deliver It)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

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If Legal Work ‘Tops Out’ In The GenAI Era, What Then?

Artificial Lawyer

We often assume that even as genAI steadily takes on more ‘process level’ legal tasks, that the ceiling of complexity will keep rising to accommodate.

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The Simple ChatGPT Trick That Will Transform Your Business AI Interactions

Flipboard

I believe ChatGPT and other generative AI tools can help pretty much any business. With a low-cost subscription or even simply using free tools, advanced AI assistance that would have seemed the stuff of science fiction just a few short years ago is within reach of anyone.

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Kinetix: An Open-Ended Universe of Physics-based Tasks for Reinforcement Learning

Marktechpost

Self-supervised learning on offline datasets has permitted large models to reach remarkable capabilities both in text and image domains. Still, analogous generalizations for agents acting sequentially in decision-making problems are difficult to attain. The environments of classical Reinforcement Learning (RL) are mostly narrow and homogeneous and, consequently, hard to generalize.

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The Biggest Prime Number Ever Found Is a New Milestone in Science

Flipboard

Imagine a number made up of a vast string of ones: 1111111…111. Specifically, 136,279,841 ones in a row.

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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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Meet Beepo-22B: The Unrestricted AI Finetuned Model based on Mistral Small Instruct 22B

Marktechpost

Modern language models have transformed our daily interactions with technology, offering tools that help draft emails, write articles, code software, and much more. However, these powerful models often come with significant limitations. Many language models today are hamstrung by overly cautious guardrails that restrict certain types of information or enforce a predetermined moral stance.

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AI sets Bitcoin’s next low target in a worst-case scenario after record-high

Flipboard

An artificial intelligence (AI) tool has offered a possible bearish outlook for Bitcoin (BTC) in a worst-case scenario after the asset hit an …

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NeuralDEM: Pioneering High-Performance Simulation of Large-Scale Particulate Systems with Multi-Branch Neural Operator Architectures

Marktechpost

Developments in simulating particulate flows have significantly impacted industries ranging from mining to pharmaceuticals. Particulate systems consist of granular materials interacting with each other and surrounding fluids, and their accurate modeling is critical for optimizing processes. However, traditional numerical methods like the Discrete Element Method (DEM) face substantial computational limitations.

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3 New AI Smart Home Features Arrive With Gemini and Google Nest

Flipboard

Gemini AI is coming to Google Home and Nest -- here's what it can do for your home security. Google has previously signaled its intention to bring its Gemini AI features to the Google Home app and its Nest smart home devices. Now we're seeing what that looks like.

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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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H-DPO: Advancing Language Model Alignment through Entropy Control

Marktechpost

Large Language Models (LLMs) have demonstrated exceptional capabilities across diverse applications, but their widespread adoption faces significant challenges. The primary concern stems from training datasets that contain varied, unfocused, and potentially harmful content, including malicious code and cyberattack-related information. This creates a critical need to align LLM outputs with specific user requirements while preventing misuse.

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5 Forces Educational Innovators Should Know About

Flipboard

As you read this, new kinds of schools are being designed, launched and expanded. Many are utilizing the power of Artificial Intelligence. Take for example, Synthesis School and their AI-powered math tutor or Alpha School in Miami that uses AI to teach their children.

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✨ prodigy v1.17.0

Explosion

A downloadable annotation tool for LLMs, NLP and computer vision tasks such as named entity recognition, text classification, object detection, image segmentation, evaluation and more.