Thu.Oct 03, 2024

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Image Editing with Gaussian Splatting

Unite.AI

A new collaboration between researchers in Poland and the UK proposes the prospect of using Gaussian Splatting to edit images, by temporarily interpreting a selected part of the image into 3D space, allowing the user to modify and manipulate the 3D representation of the image, and then applying the transformation. To change the orientation of the cat's head, the relevant section is moved into 3D space via Gaussian Splatting, and then manipulated by the user.

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AI-powered meeting company Supernormal launches customizable Voice Agents

AssemblyAI

Supernormal  is an AI-powered meeting platform that helps users automate meeting notes, build agendas, extract insights, and scale tasks. The team recently launched Voice Agents, a new tool for creating customizable conversational agents. Here, the Supernormal team discusses the inspiration behind the latest product, some initial post-launch metrics, and what’s next for its AI products.

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TransAgents: A New Approach to Machine Translation for Literary Works

Unite.AI

Translating literary classics like War and Peace into other languages often results in losing the author's unique style and cultural nuances. Addressing this longstanding challenge in literary translation is essential to preserving the essence of works while making them accessible globally. TransAgents introduces a pioneering approach to machine translation.

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7 LLM Parameters to Enhance Model Performance (With Practical Implementation)

Analytics Vidhya

Introduction Let’s say you’re interacting with an AI that not only answers your questions but understands the nuances of your intent. It crafts tailored, coherent responses that almost feel human. How does this happen? Most people don’t even realize the secret lies in LLM parameters. If you’ve ever wondered how AI models like ChatGPT generate […] The post 7 LLM Parameters to Enhance Model Performance (With Practical Implementation) appeared first on Analytics Vidhya.

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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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Could AI Become Your Boss?

Unite.AI

As artificial intelligence (AI) has grown, it’s stirred up a lot of questions about job losses. What if it didn’t take over your role but your boss’s? As strange as it may seem, some businesses are already experimenting with AI managers. How Do AI Bosses Work? In many ways, an AI boss functions the same way a human leader does. A machine learning model analyzes company performance, sets goals, checks in on employees, and suggests potential strategies or process improvements.

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LLMs For Healthcare: Exploring the Current Scenario

Analytics Vidhya

Introduction In recent years, large language models (LLMs have attracted significant attention in the healthcare sector. As interest in this technology expands, health-tech companies are exploring innovative ways to integrate generative artificial intelligence (GenAI) into clinical applications. Medical LLMs are enhancing clinical workflows, streamlining patient interactions, and improving diagnostic accuracy.

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What is ChatGPT Canvas? The Alternative to Claude Artifacts

Unite.AI

OpenAI has recently introduced an impressive feature called ChatGPT Canvas. Unlike the normal chat window we've grown accustomed to, ChatGPT Canvas offers a more robust and collaborative environment for tackling sophisticated projects. While other AI platforms like Claude have introduced similar concepts such as Claude Artifacts, ChatGPT Canvas stands out with its unique approach to enhancing user productivity.

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Automating CSV to PostgreSQL Ingestion with Airflow and Docker

Analytics Vidhya

Introduction Managing a data pipeline, such as transferring data from CSV to PostgreSQL, is like orchestrating a well-timed process where each step relies on the previous one. Apache Airflow streamlines this process by automating the workflow, making it easy to manage complex data tasks. In this article, we’ll build a robust data pipeline using Apache […] The post Automating CSV to PostgreSQL Ingestion with Airflow and Docker appeared first on Analytics Vidhya.

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Sonar Unveils AI Code Assurance and AI CodeFix: Elevating Security and Productivity for AI-Generated Code

Unite.AI

In the exponentially evolving world of AI-assisted software development, ensuring the quality and security of AI-generated code is more critical than ever. Sonar , a global leader in Clean Code solutions, has unveiled two new tools—AI Code Assurance and AI CodeFix—designed to help organizations safely harness the power of AI coding assistants. These solutions aim to enhance the developer experience by providing automated tools for detecting, fixing, and improving code quality within familiar wor

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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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Scaling Multi-Document Agentic RAG to Handle 10+ Documents with LLamaIndex

Analytics Vidhya

Introduction In my previous blog post, Building Multi-Document Agentic RAG using LLamaIndex, I demonstrated how to create a retrieval-augmented generation (RAG) system that could handle and query across three documents using LLamaIndex. While that was a powerful start, real-world applications often require the ability to handle a larger corpus of documents.

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Intel’s Masked Humanoid Controller: A Novel Approach to Physically Realistic and Directable Human Motion Generation

Unite.AI

Researchers from Intel Labs , in collaboration with academic and industry experts, have introduced a groundbreaking technique for generating realistic and directable human motion from sparse, multi-modal inputs. Their work, highlighted at the European Conference on Computer Vision (ECCV 2024), focuses on overcoming the challenges of generating natural, physically-based human behaviors in high-dimensional humanoid characters.

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Understanding SQL Data Type Conversion

Analytics Vidhya

Introduction When it comes to databases, the handling of enormous and different sorts of data is unavoidable. Think of what it would be like to try to add dates to dates or text to binary information – neither of these is easy and both of them have to be done right if the data is […] The post Understanding SQL Data Type Conversion appeared first on Analytics Vidhya.

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The Human-AI Partnership in EDR: Augmenting Cybersecurity Teams with Artificial Intelligence

Unite.AI

As cyberattacks grow more frequent and complex, companies struggle to keep up. Highly skilled security teams work night and day to spot and stop digital intruders, but it often feels like a losing battle. Hackers always seem to have the advantage. However, there is a light at the end of the tunnel. A new wave of artificial intelligence technology could shift the odds back in defenders' favor.

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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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How to Fine-tune LLMs to 1.58 bits?

Analytics Vidhya

Introduction We all know that Large Language Models are growing in size and complexity. Finding ways to reduce their computational and energy cost is getting difficult. One popular method to reduce cost is quantization. In quantization, we reduce the precision of parameters from the standard 16-bit floating point (FP16) or 32-bit floating point (FP32) to […] The post How to Fine-tune LLMs to 1.58 bits?

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Iccha Sethi, Vice President of Engineering at Vanta – Interview Series

Unite.AI

Iccha Sethi is Vice President of Engineering at Vanta , the leading Trust Management Platform, where she leads initiatives focused on enhancing security and compliance automation. Previously, she was an engineering leader at GitHub where she oversaw a multi-product portfolio including Actions, Hosted Runners, Codespaces, Packages, Pages, and npm. Iccha has also held principal engineering roles across a range of companies, large and small, including InVision, Atlassian and Rackspace.

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IBM Research data loader enhances AI model training for open-source community

IBM Journey to AI blog

How do you overcome bottlenecks when you’re training AI models on massive quantities of data? At this year’s PyTorch conference, IBM Research showcased a groundbreaking data loader for large-scale LLM training. The tool, now available to PyTorch users , aims to simplify large-scale training for as broad an audience as possible. The origins of the research The idea for the high-throughput data loader stemmed from practical issues research scientists observed during model training, as

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YOLO11 Released by Ultralytics: Unveiling Next-Gen Features for Real-time Image Analysis and Autonomous Systems

Marktechpost

Ultralytics has once again set a new standard in computer vision with the introduction of YOLO11 , the latest addition to its groundbreaking YOLO series. Renowned for its real-time object detection expertise, YOLO11 elevates the capabilities of its predecessors by combining speed, precision, and versatility. Featuring a restructured architecture and enhanced data processing techniques, it delivers unmatched performance in identifying complex visual patterns across various applications.

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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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The Critical Nuances of Today’s AI — and the Frontiers That Will Define Its Future

Towards AI

Last Updated on October 5, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. The current generation of artificial intelligence has undeniably transformed industries across the globe, from healthcare and finance to transportation and entertainment. Yet, despite these advancements, AI still faces significant limitations — particularly in adaptability, energy consumption, and the ability to learn from new situations without forgetting old information.

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Meta Will Train Its AI-Enabled Eyeglasses On Stuff You Ask It to Analyze

Extreme Tech

Although photos and videos you capture via Ray-Ban Meta are private by default, asking a question about that media allows Meta to train its AI on what you're viewing.

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Towards Artificial General Intelligence (AGI) — and what is in store for us? (a hype story)

Towards AI

Last Updated on October 5, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. Recently, there has been much debate about AI outside the tech industry, particularly concerning AI regulations in the US, UK, EU, and the two publicly signed AI safety letters last year: the Future of Life Institute 2023 (Pause AI Open Letter) and the Center for AI Safety 2023.

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Top 20 Code Review Tools for Software Developers

Marktechpost

In the fast-paced world of software development, maintaining high code quality is paramount. Code reviews are essential for identifying bugs, enhancing code maintainability, and fostering team collaboration. To facilitate efficient code reviews, numerous tools have emerged, each offering unique features to streamline the process. Below is a curated list of the top 20 code review tools that can elevate your development workflow. 1.

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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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A Data Scientist’s Guide to Ensemble Learning: Techniques, Benefits, and Code

Towards AI

Last Updated on October 5, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re trying to guess how many jelly beans are in a jar. You ask five people individually, and their answers vary wildly. But when you average those guesses, suddenly, you’re close to the real number.

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Block Transformer: Enhancing Inference Efficiency in Large Language Models Through Hierarchical Global-to-Local Modeling

Marktechpost

Large language models (LLMs) have gained widespread popularity, but their token generation process is computationally expensive due to the self-attention mechanism. This mechanism requires attending to all previous tokens, leading to substantial computational costs. Although caching key-value (KV) states across layers during autoregressive decoding is now a common approach, it still involves loading the KV states of all prior tokens to calculate self-attention scores.

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Decision Trees Unveiled: From ID3 to CART to Random Forests to XGBoost

Towards AI

Last Updated on October 5, 2024 by Editorial Team Author(s): Joseph Robinson, Ph.D. Originally published on Towards AI. A Comprehensive AI Guide All Machine Learning Engineers and Data Scientists Should Read! This member-only story is on us. Upgrade to access all of Medium. Visual geneated by sample code provided in this blog tutorial. · Introduction· Understanding Basic Decision Trees: ID3 Algorithm· CART Algorithm: Classification and Regression Trees· Advanced Decision Trees: From Bagging to B

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Microsoft Released VoiceRAG: An Advanced Voice Interface Using GPT-4 and Azure AI Search for Real-Time Conversational Applications

Marktechpost

Microsoft unveiled VoiceRAG , a voice-based retrieval-augmented generation (RAG) system that utilizes the new Azure OpenAI gpt-4o-realtime-preview model to combine audio input and output with powerful data retrieval capabilities. This innovative system represents a significant leap in natural language processing by enabling seamless interaction with applications using voice commands.

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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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Decision Trees Explained: How They Work and When to Use Them

Towards AI

Last Updated on October 5, 2024 by Editorial Team Author(s): Harsh Chourasia Originally published on Towards AI. The Ultimate Guide to Making Smarter Data Decisions This member-only story is on us. Upgrade to access all of Medium. Photo by Nicole Wolf on Unsplash Today we will talk about Decision Trees, a powerful tool in machine learning and data science.

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MIO: A New Multimodal Token-Based Foundation Model for End-to-End Autoregressive Understanding and Generation of Speech, Text, Images, and Videos

Marktechpost

Multimodal models aim to create systems that can seamlessly integrate and utilize multiple modalities to provide a comprehensive understanding of the given data. Such systems aim to replicate human-like perception and cognition by processing complex multimodal interactions. By leveraging these capabilities, multimodal models are paving the way for more sophisticated AI systems that can perform diverse tasks, such as visual question answering, speech generation, and interactive storytelling.

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Microsoft Ends WordPad’s Run as a Built-In Windows App Since 1995

Extreme Tech

Microsoft recommends users switch to Microsoft Word, although only the cloud-based version is free.

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