Sun.Oct 27, 2024

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Building a Virtual Try-On Chatbot on WhatsApp with Flask, Twilio, and Gradio API

Analytics Vidhya

In today’s age of rapid technological advancements, virtual try-on chatbot are revolutionizing how users experience shopping by allowing them to “try on” garments before making a purchase. This article will walk you through a virtual try-on prototype built using Flask, Twilio’s WhatsApp API, and Hugging Face’s Gradio API, which enables users to send photos via WhatsApp and […] The post Building a Virtual Try-On Chatbot on WhatsApp with Flask, Twilio, and Gradio API appeared first on Analyt

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10 Best JavaScript Frameworks for Building AI Systems (October 2024)

Unite.AI

As artificial intelligence continues to reshape the tech landscape, JavaScript acts as a powerful platform for AI development, offering developers the unique ability to build and deploy AI systems directly in web browsers and Node.js environments. The ecosystem has rapidly evolved to support everything from large language models (LLMs) to neural networks, making it easier than ever for developers to integrate AI capabilities into their applications.

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Scientists use artificial intelligence to make incredible breakthrough with fusion reactors: 'Enhances the accuracy and speed'

Flipboard

Scientists in China achieved a major breakthrough that could help unlock nearly unlimited clean energy via fusion.

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Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of Large Language Model (LLM) Generated Ideas

Marktechpost

Innovation in science is essential to human progress because it drives developments in a wide range of industries, including technology, healthcare, and environmental sustainability. Large Language Models (LLMs) have lately demonstrated potential in expediting scientific discovery by generating research ideas due to their extensive text-processing capabilities.

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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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Announcing General Availability: Publish to Microsoft Power BI Service from Unity Catalog

databricks

We're excited to announce the General Availability of Publish to Microsoft Power BI Service from Unity Catalog, an integration that makes it easy.

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Incoming Ryzen 7 9800X3D Outpaces Its Predecessor in Blender Benchmark

Extreme Tech

AMD might have actually 'reimagined' its X3D CPUs to be good for more than just gaming.

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OpenAI Stabilizing Continuous-Time Generative Models: How TrigFlow’s Innovative Framework Narrowed the Gap with Leading Diffusion Models Using Just Two Sampling Steps

Marktechpost

Generative artificial intelligence (AI) models are designed to create realistic, high-quality data, such as images, audio, and video, based on patterns in large datasets. These models can imitate complex data distributions, producing synthetic content resembling samples. One widely recognized class of generative models is the diffusion model. It has succeeded in image and video generation by reversing a sequence of added noise to a sample until a high-fidelity output is achieved.

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Apple Intelligence’s New AI Writer

Robot Writers AI

Bare Minimum With a Side of Bland? Apparently, editors and writers looking to be dazzled by the new AI writing and editing tools promised for the iPhone this week will probably end-up non-plussed. Observes Joanna Stern, a writer for the Wall Street Journal: “If you’re expecting AI fireworks, prepare for AI — sparklers. “Apple’s Writing Tools are the convenient drive-through right on the highway. “OpenAI’s ChatGPT is the better restaurant a few miles off your route.”

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M-RewardBench: A Multilingual Approach to Reward Model Evaluation, Analyzing Accuracy Across High and Low-Resource Languages with Practical Results

Marktechpost

Large language models (LLMs) have transformed fields ranging from customer service to medical assistance by aligning machine output with human values. Reward models (RMs) play an important role in this alignment, essentially serving as a feedback loop where models are guided to provide human-preferred responses. While many advancements have optimized these models for English, a broader challenge exists in adapting RMs to multilingual contexts.

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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 and ethics risks before they become problems.

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DataMesh: How Uber laid the foundations for the data lake cloud migration

Uber ML

Learn how Uber is streamlining the Cloud migration of its massive Data Lake by incorporating key Data Mesh principles.

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MiniCTX: Advancing Context-Dependent Theorem Proving in Large Language Models

Marktechpost

Formal theorem proving has emerged as a critical benchmark for assessing the reasoning capabilities of large language models (LLMs), with significant implications for mathematical automation. While these models show promise in assisting mathematicians through proof completion and formalization tools, a substantial challenge persists in bridging the gap between current evaluation methods and real-world theorem proving complexity.

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Anthropic, WOW

TheSequence

Created Using Ideogram Next Week in The Sequence: Edge 443: We close our series about state space models and announce a new and exciting series. The Sequence Chat: Will provide a perspective of transformer models as a computer. Edge 444: We dive into Meta AI’s amazing Movie Gen model. You can subscribe to The Sequence below: TheSequence is a reader-supported publication.

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Sparkle: Standardizing Modular ETL at Uber

Uber ML

Discover how Uber’s in-house ETL framework helps standardize modular ETL development, improving developer productivity and ensuring reliable data pipelines.

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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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SAM2Long: A Training-Free Enhancement to SAM 2 for Long-Term Video Segmentation

Marktechpost

Long Video Segmentation involves breaking down a video into certain parts to analyze complex processes like motion, occlusions, and varying light conditions. It has various applications in autonomous driving, surveillance, and video editing. It is challenging yet critical to accurately segment objects in long video sequences. The difficulty lies in handling extensive memory requirements and computational costs.

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Genie: Uber’s Gen AI On-Call Copilot

Uber ML

Explore how Uber is leveraging Genie, its Generative AI-powered On-Call CoPilot, to transform on-call operations and empower engineering teams.

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Promoting Cross-Modal Representations to Improve Multimodal Foundation Models for Physiological Signals

Machine Learning Research at Apple

Many healthcare applications are inherently multimodal, involving several physiological signals. As sensors for these signals become more common, improving machine learning methods for multimodal healthcare data is crucial. Pretraining foundation models is a promising avenue for success. However, methods for developing foundation models in healthcare are still in early exploration and it is unclear which pretraining strategies are most effective given the diversity of physiological signals.

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Preon: Presto Query Analysis for Intelligent and Efficient Analytics

Uber ML

Discover how to enable intelligent and efficient data analytics at Uber scale with Preon, a Presto Query Analysis service that unlocks insights for deduplicating queries, creating efficient table layouts, and more.

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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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Meta AI Silently Releases NotebookLlama: An Open Version of Google’s NotebookLM

Marktechpost

Meta has recently released NotebookLlama, an open version of Google’s NotebookLM that empowers researchers and developers with accessible, scalable solutions for interactive data analysis and documentation. NotebookLlama integrates large language models directly into an open-source notebook interface, similar to Jupyter or Google Colab, allowing users to interact with a trained LLM as they would with any other cell in a notebook environment.

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Enabling Security for Hadoop Data Lake on Google Cloud Storage

Uber ML

Ready to boost your Hadoop Data Lake security on GCP? Our latest blog dives into enabling security for Uber’s modernized batch data lake on Google Cloud Storage!

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Meet mcdse-2b-v1: A New Performant, Scalable and Efficient Multilingual Document Retrieval Model

Marktechpost

The rise of the information era has brought an overwhelming amount of data in varied formats. Documents, presentations, and images are generated at an astonishing rate across multiple languages and domains. However, retrieving useful information from these diverse sources presents a significant challenge. Conventional retrieval models, while effective for text-based queries, struggle with complex multimodal content, such as screenshots or slide presentations.

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How to Choose the Best Data Science Program

Pickl AI

Summary: Choosing the right Data Science program is essential for career success. This guide covers key factors such as curriculum evaluation, learning formats, networking, mentorship opportunities, and cost considerations to help you make an informed choice. Introduction Choosing the right Data Science program is a crucial step for anyone looking to enter or advance in this rapidly evolving field.

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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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Top 25 Programming Languages and Their Uses

Marktechpost

The world of technology is constantly evolving, and programming languages are at the heart. With countless options available, it can be overwhelming to choose the correct programming language for your project or career. Even though most programming languages can do almost anything, they usually have tools and libraries built for specific jobs. We present an overview of the top 25 programming languages and their primary use cases. 1.