Fri.Aug 16, 2024

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Primate Labs launches Geekbench AI benchmarking tool

AI News

Primate Labs has officially launched Geekbench AI , a benchmarking tool designed specifically for machine learning and AI-centric workloads. The release of Geekbench AI 1.0 marks the culmination of years of development and collaboration with customers, partners, and the AI engineering community. The benchmark, previously known as Geekbench ML during its preview phase, has been rebranded to align with industry terminology and ensure clarity about its purpose.

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Transforming Financial Reporting with AI and NLG

Analytics Vidhya

Introduction In business, financial analysis and reporting are critical for strategic decision-making and operational oversight. These processes provide senior management and stakeholders with key insights into a company’s performance, financial health, and future prospects. Traditionally, financial reporting and analysis have been time-consuming, requiring expertise to interpret complex data and generate actionable business intelligence.

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How AI is shaping how we game

AI News

AI is everywhere, the chances are if you’re on our site then you’ve noticed! One of the places that we maybe don’t think so much about AI and its implications is when we’re gaming. After all, for many of us this is a time to switch off from reality and properly relax. The world of gaming is one of the industries where AI is having some of its most pronounced effects.

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How to Remove Duplicates in Excel?

Analytics Vidhya

Introduction Accurate and clean data is the backbone of effective decision-making. Whether you’re managing a sales record, contact list, or any other dataset, duplicate entries can quickly turn into a source of confusion and errors. Imagine making a critical business decision based on faulty data—it’s a risk you can’t afford. That’s why mastering the skill […] The post How to Remove Duplicates in Excel?

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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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The 3 Pillars of AI in Cybersecurity

Unite.AI

Artificial intelligence (AI) has taken the cybersecurity industry by storm, with vendors of all kinds working to integrate AI into their solutions. But the relationship between AI and security is about more than implementing AI capabilities—it’s about how both attackers and defenders are leveraging the technology to change the face of the modern threat landscape.

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Build with AssemblyAI's Speaker Diarization Model + Latest Tutorials

AssemblyAI

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord Feature Spotlight: Speaker Diarization In June 2024, we updated our  Speaker Diarization  model to be 13% more accurate and added support for five additional languages. These  improvements  help you to  accurately identify who is speaking in audio recordings, making it easier to analyze conversations in more languages.

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Parsera: Lightweight Python Library for Scraping with LLMs

Marktechpost

Web scraping is the process of using bots to extract content and data from websites. Unlike screen scraping, which simply captures the pixels displayed on a screen, web scraping captures the underlying HTML code along with the data stored in the corresponding database. This approach is among the most efficient and effective methods for data extraction from websites.

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Building a robust data stewardship tool in life sciences

databricks

This blog was written in collaboration with Gordon Strodel, Director, Data Strategy & Analytics Capability, in addition to Abhinav Batra, Associate Principal, Enterprise.

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Agent Q: A New AI Framework for Autonomous Improvement of Web-Agents with Limited Human Supervision- with a 340% Improvement over LLama 3’s Baseline Zero-Shot Performance

Marktechpost

Large Language Models (LLMs) have achieved remarkable progress in the ever-expanding realm of artificial intelligence, revolutionizing natural language processing and interaction. Yet, even the most sophisticated LLMs, like LLaMa 3, face substantial challenges in tasks requiring multi-step reasoning and decision-making in dynamic, interactive environments.

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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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Beyond the Leaderboard: Unpacking Function Calling Evaluation

databricks

1. Introduction The research and engineering community at large have been continuously iterating upon Large Language Models (LLMs) in order to make them.

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Nvidia AI Released Llama-Minitron 3.1 4B: A New Language Model Built by Pruning and Distilling Llama 3.1 8B

Marktechpost

Nvidia has just announced a new release in language models, but this time, a small language model: the Llama-3.1-Minitron 4B model. This means it is one of the major steps in the continuous evolution of language models, combining the efficiency of large-scale models with smaller models through cutting-edge techniques such as pruning and knowledge distillation.

NLP 115
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MIT Scientists 'Detangle' the Brain With New Open-Source AI

Extreme Tech

When it comes to organizing the massive amount of data needed for bioinformatics, AI might be just what the doctor ordered.

AI 132
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Neural Magic Releases LLM Compressor: A Novel Library to Compress LLMs for Faster Inference with vLLM

Marktechpost

Neural Magic has released the LLM Compressor , a state-of-the-art tool for large language model optimization that enables far quicker inference through much more advanced model compression. Hence, the tool is an important building block in Neural Magic’s pursuit of making high-performance open-source solutions available to the deep learning community, especially inside the vLLM framework.

LLM 111
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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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First Intel Arrow Lake Benchmarks: Mild Single-Core Gains, Multi-Core Regression

Extreme Tech

It's early hardware and a single benchmark, we know, but these results are starting to make people sweat a bit.

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Salesforce AI Research Proposes DEI: AI Software Engineering Agents Org, Achieving a 34.3% Resolve Rate on SWE-Bench Lite, Crushing Closed-Source Systems

Marktechpost

Software engineering has undergone this large transformation to automate tasks, particularly through large language models. This may concern generating code or tests checking for bugs, an activity traditionally done by human engineers. Now, AI-driven agents based on LLMs would understand and produce human-like text, carrying out complex operations in software development.

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MSI Shows Off CAMM2 Memory Modules for Future Desktop PCs

Extreme Tech

The company describes it as a potential 'game changer' for desktop memory.

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Behind AI #19: How to Create Beautiful Visualizations in Python

Artificial Corner

In the previous article in our series , we did an overview of Python for data analysis. Now we’ll focus on one of my favorite tasks: data visualization! Picture this: You’re in the middle of a project and suddenly you need to make a plot to analyze the data or present the insights found. You don’t have too much time, but you definitely don’t want to create a plot that looks like this.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Scientists Trace the Origin of Dinosaur-Killing Asteroid

Extreme Tech

The asteroid that ended the Cretaceous era was probably a visitor from the outer solar system.

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Meet the Faculty: Sidharth Sah

NYU Center for Data Science

This entry is a part of our Meet the Faculty blog series, which introduces and highlights faculty who have recently joined CDS. Meet CDS Clinical Faculty Sidharth Sah , who will join CDS this fall as Clinical Assistant Professor. Sah recently completed his PhD in Economics at the University of Chicago, where his research focused on the economics of education.

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New SuperSonic Charge Tech Can Completely Fill a Phone Battery in Under 5 Minutes

Extreme Tech

It has a maximum speed of 320 watts, leaving all other smartphones in the dust.

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Answer.AI Releases answerai-colbert-small: A Proof of Concept for Smaller, Faster, Modern ColBERT Models

Marktechpost

AnswerAI has unveiled a robust model called answerai-colbert-small-v1, showcasing the potential of multi-vector models when combined with advanced training techniques. This proof-of-concept model, developed using the innovative JaColBERTv2.5 training recipe and additional optimizations, demonstrates remarkable performance despite its compact size of just 33 million parameters.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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DDR5 Prices Expected to Skyrocket as SK Hynix Plans DRAM Price Hike

Extreme Tech

You can blame the AI boom for it, too.

AI 122
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Portkey AI Open-Sourced AI Guardrails Framework to Enhance Real-Time LLM Validation, Ensuring Secure, Compliant, and Reliable AI Operations

Marktechpost

On Portkey AI, the Gateway Framework is replaced by a significant component, Guardrails, installed to make interacting with the large language model more reliable and safe. Specifically, Guardrails can ensure that requests and responses are formatted according to predefined standards, reducing the risks associated with variable or harmful LLM outputs.

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Scientists Use James Webb Space Telescope to Measure Universe Expansion Rate

Extreme Tech

This work could solve a vexing cosmology problem called the 'Hubble tension.

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What‘s the Difference Between Similarity Search and Re-Ranking?

Marktechpost

The accuracy and efficiency of retrieval systems are critical in the significantly advancing field of data science. Sifting through data effectively becomes more dependent on advanced algorithms as it grows larger and more complicated. Two such algorithms that greatly influence search results are re-ranking and similarity search. Although they both yield sorted lists of pertinent objects, their functions and methods are different.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Podcast: On Learning-Aware Mechanism Design with Michael I. Jordan

ODSC - Open Data Science

Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. Each week, we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of the AI industry through their work or research. This episode is a previously recorded interview from early 2023 with one of computer science’s most influential pioneers, Michael I.

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Understanding the Basics of the Central Limit Theorem

Pickl AI

Summary: The Central Limit Theorem (CLT) asserts that sample means to approach a normal distribution as sample sizes increase, regardless of the original population’s distribution. This principle is vital for accurate hypothesis testing and confidence interval estimation. Introduction Probability and statistics are fundamental in analysing data and making informed decisions.

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Announcing the ODSC Europe 2024 Keynote Speakers

ODSC - Open Data Science

ODSC Europe is just weeks away, coming up on September 5th & 6th, and we are hard at work on our lineup of leading experts and world-class AI instructors. And we couldn’t be more excited to announce the first of our distinguished Keynote and Track Keynote Speakers. Check them out below. Keynote Speakers Laura Weidinger Senior Research Scientist | Google Deepmind Laura Weidinger is a Staff Research Scientist at Google DeepMind.