Mon.Sep 02, 2024

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How European Residents Can Access Google VEO, the New AI Video Generator

Unite.AI

Google has recently introduced a cutting-edge AI tool known as Veo , which allows users to generate videos from text. This innovative tool is currently in a limited-release phase, available only to users in the United States. However, for European residents eager to get early access to Veo, there is a way around this geographical restriction using a Virtual Private Network (VPN).

AI 246
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Amazon partners with Anthropic to enhance Alexa

AI News

Amazon is gearing up to roll out a revamped version of its Alexa voice assistant , which is expected to be available this October, right before the US shopping rush. Internally referred to as “Remarkable,” the new technology will be powered by Anthropic’s Claude AI models. Sources close to the matter have indicated that this shift occurred due to the underperformance of Amazon’s in-house software.

Big Data 237
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Asynchronous LLM API Calls in Python: A Comprehensive Guide

Unite.AI

As developers and dta scientists, we often find ourselves needing to interact with these powerful models through APIs. However, as our applications grow in complexity and scale, the need for efficient and performant API interactions becomes crucial. This is where asynchronous programming shines, allowing us to maximize throughput and minimize latency when working with LLM APIs.

LLM 225
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Introducing the AssemblyAI C#.NET SDK

AssemblyAI

We are thrilled to release the AssemblyAI.NET SDK , making it easier to use the latest Speech AI models from AssemblyAI with.NET languages like C#, VB.NET, and F#. Use the SDK to transcribe audio, analyze audio using our audio intelligence models, and apply LLMs to your audio data using LeMUR. We set out to build the SDK with the following goals: Make it as intuitive as possible to use all the models and features that AssemblyAI offers using idiomatic C#.

LLM 176
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Bringing the Cybersecurity Imperative Into Focus

Tech leaders today are facing shrinking budgets and investment concerns. This whitepaper provides insights from over 1,000 tech leaders on how to stay secure and attract top cybersecurity talent, all while doing more with less. Download today to learn more!

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Inclusive Governance: How Generative AI is Making Public Services Accessible to All

Unite.AI

While the public sector continues to evolve with advancing technology, its core objective remains unchanged: ensuring that all citizens, regardless of socio-economic status, physical abilities, or geographic location, have equal access to public services. This objective, commonly known as inclusive governance, has led the sector to continually embrace advanced technologies to improve citizen engagement, streamline operations, and make informed decisions.

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Qiskit SDK v1.2 Released by IBM: Enhancing Quantum Circuit Optimization and Expanding Quantum Computing Capabilities

Marktechpost

IBM releases a new version of Qiskit SDK to address the challenge of optimizing the performance and functionality of the existing version. Qiskit SDK is a leading quantum computing software development kit. As quantum computing evolves, the need for more efficient tools to handle complex quantum workloads becomes increasingly critical. The latest version, Qiskit SDK v1.2, aims to enhance the performance of quantum circuit construction, synthesis, and transpilation, making it easier and faster fo

Python 119
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Driving into the future of electric transportation

databricks

Rivian chose to modernize its data infrastructure on the Databricks Data Intelligence Platform, giving it the ability to unify all of its data into a common view for downstream analytics and machine learning.

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ReMamba: Enhancing Long-Sequence Modeling with a 3.2-Point Boost on LongBench and 1.6-Point Improvement on L-Eval Benchmarks

Marktechpost

In natural language processing (NLP), handling long text sequences effectively is a critical challenge. Traditional transformer models, widely used in large language models (LLMs), excel in many tasks but must be improved when processing lengthy inputs. These limitations primarily stem from the quadratic computational complexity and linear memory costs associated with the attention mechanism used in transformers.

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Encoding Categorical Data: A Step-by-Step Guide

Towards AI

Last Updated on September 3, 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 baking a cake, but instead of sugar, flour, and eggs, you have words like “vanilla,” “chocolate,” and “strawberry” on your countertop. As much as you’d like to start, there’s a problem — your recipe can only follow numeric measurements, not words.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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SynDL: A Synthetic Test Collection Utilizing Large Language Models to Revolutionize Large-Scale Information Retrieval Evaluation and Relevance Assessment

Marktechpost

Information retrieval (IR) is a fundamental aspect of computer science, focusing on efficiently locating relevant information within large datasets. As data grows exponentially, the need for advanced retrieval systems becomes increasingly critical. These systems use sophisticated algorithms to match user queries with relevant documents or passages. Recent developments in machine learning, particularly in natural language processing (NLP), have significantly enhanced the capabilities of IR system

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Thomas uses GenAI to improve workplace collaboration

databricks

For over 40 years, Thomas’ central ethos has been that companies can elevate job satisfaction and productivity by better understanding how people interact.

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CSGO: A Breakthrough in Image Style Transfer Using the IMAGStyle Dataset for Enhanced Content Preservation and Precise Style Application Across Diverse Scenarios

Marktechpost

Text-to-image generation has evolved rapidly, with significant contributions from diffusion models, which have revolutionized the field. These models are designed to produce realistic and detailed images based on textual descriptions, which are vital for applications ranging from personalized content creation to artistic endeavors. The ability to precisely control the style of these generated images is paramount, especially in domains where the visual presentation must align closely with specifi

ML 64
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Power BI – Finding Total Number of Rows in a Table

Pickl AI

Summary: Counting rows is a fundamental task in Power BI that requires careful consideration. This blog explores how to get total number of rows in power query. Additionally, readers will know about the best practices such as optimizing performance, handling context issues, leveraging DAX measures, and troubleshooting common problems like formula errors and data source quality.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Computer Vision Jobs that are Not Computer Vision Engineer

Viso.ai

As many areas of artificial intelligence (AI) have experienced exponential growth, computer vision is no exception. According to the data from the recruiting platforms – job listings that look for artificial intelligence or computer vision specialists doubled from 2021 to 2023. It’s definitely an exciting time to be in AI. While it is true that there is a need for computer vision specialists, engineers are not the only profiles driving growth in this sector.

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Generative AI vs Predictive AI

Pickl AI

Summary: Generative AI and predictive AI represent two distinct approaches within artificial intelligence. Generative AI focuses on creating new content by learning from existing data, while predictive AI analyses historical data to forecast future outcomes. Understanding their differences helps organisations leverage these technologies effectively for innovation and decision-making across various sectors.

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AnyGraph: An Effective and Efficient Graph Foundation Model Designed to Address the Multifaceted Challenges of Structure and Feature Heterogeneity Across Diverse Graph Datasets

Marktechpost

Graph learning focuses on developing advanced models capable of analyzing and processing relational data structured as graphs. This field is essential in various domains, including social networks, academic collaborations, transportation systems, and biological networks. As real-world applications of graph-structured data expand, there is an increasing demand for models that can effectively generalize across different graph domains and handle the inherent diversity and complexity of graph struct

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Python and Cython Extensions

Pickl AI

Summary: Cython and Python extensions provide powerful tools for optimising performance and creating high-performance applications. By combining the flexibility of Python with the speed of C, developers can write efficient code that runs faster and more efficiently. Discover how to leverage these tools to enhance your projects and achieve better results.

Python 52
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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

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Google DeepMind Researchers Propose GenRM: Training Verifiers with Next-Token Prediction to Leverage the Text Generation Capabilities of LLMs

Marktechpost

Generative AI, an area of artificial intelligence, focuses on creating systems capable of producing human-like text and solving complex reasoning tasks. These models are essential in various applications, including natural language processing. Their primary function is to predict subsequent words in a sequence, generate coherent text, and even solve logical and mathematical problems.

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Data Visualisation using Matplotlib in Python: A Comprehensive Guide

Pickl AI

Summary: This article covers essential data visualisation using matplotlib techniques, including scatter plots, bar charts, histograms, pie charts, box plots, and heatmaps. Each method explained in terms of its purpose and application, helping you choose the right visualisation for your data analysis needs. Introduction Data visualisation is a powerful tool that helps us understand, interpret, and communicate data effectively.

Python 52
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Google AI Introduces CardBench: A Comprehensive Benchmark Featuring Over 20 Real-World Databases and Thousands of Queries to Revolutionize Learned Cardinality Estimation

Marktechpost

Cardinality estimation (CE) is crucial in optimizing query performance in relational databases. It involves predicting the number of intermediate results a database query will return, directly influencing the choice of execution plans by query optimizers. Accurate cardinality estimates are essential for selecting efficient join orders, determining whether to use an index and choosing the best join method.

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Behind AI #4: What is NLP And Why is Important in AI

Artificial Corner

Via Pixabay Natural language processing (NLP) is a subfield of AI that uses machine learning to enable computers to understand and communicate with human language. NLP is used in various AI applications like chabots. Today, we’ll learn some common NLP techniques. We’ll focus on the concepts. That said, I added some lines of Python code to better understand the techniques with examples (you don’t need to know coding to understand the examples though).

NLP 74
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IT Leadership Agrees AI is Here, but Now What?

IT leaders are experiencing rapid evolution in AI amid sustained investment uncertainty. As AI evolves, enhanced cybersecurity and hiring challenges grow. This whitepaper offers real strategies to manage risks and position your organization for success.

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Magic AI Proposes HashHop: A New Alternative to Needle in a Haystack to Evaluate LLMs Ultra-Long Context Ability in a Much More Robust Way

Marktechpost

LLMs have advanced significantly in recent years, demonstrating impressive capabilities in various tasks. However, LLMs’ performance often deteriorates when dealing with long input sequences. This limitation can hinder their applicability in domains requiring extensive information processing, such as document summarization, question answering, and machine translation.

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Re-LAION 5B Dataset Released: Improving Safety and Transparency in Web-Scale Datasets for Foundation Model Research Through Rigorous Content Filtering

Marktechpost

LAION, a prominent non-profit organization dedicated to advancing machine learning research by developing open and transparent datasets, has recently released Re-LAION 5B. This updated version of the LAION-5B dataset marks a milestone in the organization’s ongoing efforts to ensure the safety and legal compliance of web-scale datasets used in foundational model research.

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Enhancing Machine Learning ML Education Through No-Code AI: Integrating Lightweight AI Tools in Non-Technical Higher Education Programs

Marktechpost

Integrating No-Code AI in Non-Technical Higher Education: Recent developments in ML underscore its ability to drive value across diverse sectors. Nevertheless, incorporating ML into non-technical academic programs, such as those in social sciences, presents challenges due to its usual ties with technical fields like computer science. To overcome this barrier, a case-based approach utilizing no-code AI platforms was introduced in a university course, catering to students from varied educational b