Thu.Jul 04, 2024

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Complete Guide on Gemma 2: Google’s New Open Large Language Model

Unite.AI

Gemma 2 builds upon its predecessor, offering enhanced performance and efficiency, along with a suite of innovative features that make it particularly appealing for both research and practical applications. What sets Gemma 2 apart is its ability to deliver performance comparable to much larger proprietary models, but in a package that's designed for broader accessibility and use on more modest hardware setups.

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Language Processing Units (LPUs): Paving the way for advanced voice AI in contact centres

AI News

Have you heard about Language Processing Units (LPUs) yet? If you haven’t, prepare to be wowed! LPUs are specialised processors engineered specifically for language-related tasks. They differ from other processors that handle multiple tasks simultaneously. The LPU combines the best of the Central Processing Unit (CPU) – great at sequential tasks, and the Graphic Processing Unit (GPU) – great at concurrent tasks.

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Understanding Grant and Revoke in SQL: Managing Database User Permissions

Analytics Vidhya

Introduction In relational databases, retaining information security and integrity is paramount. SQL’s Data Control Language (DCL) empowers you with the essential tools to control user privileges, ensuring only specific people can access and control database items. Two crucial DCL commands, GRANT and REVOKE, form the bedrock of this permission management system.

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Nvidia: World’s most valuable company under French antitrust fire

AI News

Nvidia recently overtook Microsoft as the world’s most valuable company and is now in the crosshairs of French antitrust regulators. The French authority is preparing to charge Nvidia with anti-competitive practices as part of the EU’s commitment to maintaining checks and balances within the industry. This development underscores the EU’s resolve to ensure fair competition and prevent market dominance from stifling innovation and consumer choice.

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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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What is FORMAT() Function in SQL?

Analytics Vidhya

Introduction If you are a data scientist or analyst, data formatting in SQL is a crucial skill to know. It helps you present your data in a more readable and user-friendly manner, making it easy for stakeholders to understand. The FORMAT() function in the SQL server helps you customize the appearance of dates, times, numbers, […] The post What is FORMAT() Function in SQL?

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What are SQL Indexes?

Analytics Vidhya

Introduction An index is a unique lookup table in SQL databases that the database search engine can use to expedite data retrieval. When an index is built on a table’s columns, the database can locate rows considerably more quickly than in the absence of an index. See an index as a book’s reference guide; it […] The post What are SQL Indexes?

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AI News Weekly - Issue #392: Top Artificial Intelligence AI Books to Read in 2024 - Jul 4th 2024

AI Weekly

Powered by cloudfront.net In the News Top Artificial Intelligence AI Books to Read in 2024 AI has been making significant strides over the past few years, with the emergence of LLMs marking a major milestone in its growth. marktechpost.com Sponsor Discover what the most trusted industry experts are reading Use the Power of AI to access a forward-thinking audience of professional decision makers !

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Top 40 DBMS Interview Questions and Answers

Analytics Vidhya

Introduction This article contains a comprehensive set of DBMS interview questions to help with interview preparation for any position related to DBMS. It covers fundamental concepts like DBMS and RDBMS, normalization, and ACID features in addition to more advanced topics like indexing, transactions, joins, and SQL queries. The article also discusses database managers’ duties and […] The post Top 40 DBMS Interview Questions and Answers appeared first on Analytics Vidhya.

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Camera System Mimics Human Eye for Enhanced Robotic Vision

Unite.AI

University of Maryland computer scientists have developed an innovative camera system that could revolutionize how robots perceive and interact with their environment. This technology, inspired by the human eye's involuntary movements, aims to improve the clarity and stability of robotic vision. The research team, led by PhD student Botao He, detailed their findings in a paper published in the journal Science Robotics.

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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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The Next Wave of GenAI: Perspectives with Dr. Kirk Borne

Analytics Vidhya

In this Leading with Data Episode, we have with us Dr. Kirk Borne, a top global influencer, data scientist, astrophysicist, and TEDx speaker. He is a thought leader in big data, AI, machine learning, and more, and is an elected Fellow of the American Astronomical Society. We’ll explore his views on AI evolution, technology hype […] The post The Next Wave of GenAI: Perspectives with Dr.

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Dropout: A Revolutionary Approach to Reducing Overfitting in Neural Networks

Marktechpost

Introduction to Overfitting and Dropout: Overfitting is a common challenge when training large neural networks on limited data. It occurs when a model performs exceptionally well on training data but fails to generalize to unseen test data. This problem arises because the network’s feature detectors become too specialized for the training data, developing complex dependencies that do not translate to the broader dataset.

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Meet CompetitionAI, Created By Clifford Chance Lawyer Daniel Schwarz

Artificial Lawyer

CompetitionAI is a legal tech startup that was launched in November 2023 as ‘ChatGPT for competition lawyers’. It’s the brainchild of Daniel Schwarz, a competition.

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Google Researchers Reveal Practical Insights into Knowledge Distillation for Model Compression

Marktechpost

At the moment, many subfields of computer vision are dominated by large-scale vision models. Newly developed state-of-the-art models for tasks such as semantic segmentation, object detection, and image classification exceed today’s hardware capabilities. These models have stunning performance, but the hefty computational costs mean they are rarely employed in real-world applications.

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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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Top Important LLMs Papers for the Week from 24/06 to 30/06

Towards AI

Last Updated on July 4, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the Fourth Week of June 2024.

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Rethinking QA Dataset Design: How Popular Knowledge Enhances LLM Accuracy?

Marktechpost

Large language models (LLMs) have gained significant attention for their ability to store vast amounts of factual knowledge within their weights during pretraining. This capability has led to promising results in knowledge-intensive tasks, particularly factual question-answering. However, a critical challenge persists: LLMs often generate plausible but incorrect responses to queries, undermining their reliability.

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Latham’s Scrudato Creates OpenContracts – Open-Source Doc AI Tool

Artificial Lawyer

John Scrudato, the recently hired Director of Artificial Intelligence and Innovation at Latham & Watkins, has been busy in his spare time and created OpenContracts,

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5 macOS Apps I Never Close as a Programmer

Artificial Corner

As a Mac user, I like to download apps that are not only for entertainment, productivity, or video editing but also apps that make my life easier when writing code. There are some apps I have that I never close, no matter how many windows are already opened, because I know I’ll need them sooner or later. In this article, I’ll share 5 apps that I use on a daily basis when writing code.

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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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Meta’s Chameleon, RAG with Autoencoder-Transformed Embeddings, and more #30

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week we are diving into some interesting discussions on transformers, BERT, and RAG, along with some interesting collaboration opportunities for building a bot, a productivity app, and more. What’s AI Weekly This week in What’s AI, I dive into how multimodal models actually work.

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What The Euros Can Teach Us About Building Winning Legal Teams

Artificial Lawyer

By William Dougherty. Warning: this article contains a series of extended football (soccer) analogies. You can’t avoid it. From the moment managers announced their 26-man.

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Building LLM Applications With Vector Databases

The MLOps Blog

TL;DR Vector databases play a key role in Retrieval-Augmented Generation (RAG) systems. They enable efficient context retrieval or dynamic few-shot prompting to improve the factual accuracy of LLM-generated responses. When implementing a RAG system, start with a simple Naive RAG and iteratively improve the system: Refine the contextual information available to the LLM using multi-modal models to extract information from documents, optimize the chunk size, and pre-process chunks to filter out irr

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Menos de la mitad de las aseguradoras en MX y LATAM han implementado IA

SAS Software

Menos de la mitad de las aseguradoras en MX y LATAM han implementado IA 47% de las aseguradoras no han podido integrarse a la IA debido a la calidad de los datos que recaban En México y LATAM el 40% de las aseguradoras han iniciado la integración de herramientas [.] The post Menos de la mitad de las aseguradoras en MX y LATAM han implementado IA appeared first on SAS Blogs.

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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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Edge 410: Learn About Virtual Token Counter: A Novel Method that Address One of the Major Challenges LLM Serving

TheSequence

Created Using Ideogram Imagine the following scenarios in an LLM application: Client A sends requests averaging 4k tokens each. Client B sends requests averaging 200 tokens each. Should the requests from both clients follow be served by the same LLM resources. The answer seems obviously no as the second client requires much less resources than the first client.

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Menos de la mitad de las aseguradoras en MX y LATAM han implementado IA

SAS Software

Menos de la mitad de las aseguradoras en MX y LATAM han implementado IA 47% de las aseguradoras no han podido integrarse a la IA debido a la calidad de los datos que recaban En México y LATAM el 40% de las aseguradoras han iniciado la integración de herramientas [.] The post Menos de la mitad de las aseguradoras en MX y LATAM han implementado IA appeared first on SAS Blogs.

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FRVR AI makes game creation available to anyone

AI News

Over the years, the video games industry has become one of the biggest and most influential mediums in the entertainment segment. Despite the myriad of games available on the market, from expensive AAA titles to casual games, millions of gamers are brimming with innovative ideas and dream of creating their own unique gaming experiences that studios often overlook.

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How to build an infrastructure from scratch to train a 70B Model?

Bugra Akyildiz

Articles Ada LoveLace Institute wrote a blog post on Generative AI(GenAI) Applications and their deployment/monitoring in a very long post. It talks about various options and needs to deployment and monitoring themes for GenAI applications. Some of the solutions and vendors that they have recommended also can be used for non-GenAI applications as well.

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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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CMU Researchers Propose XEUS: A Cross-lingual Encoder for Universal Speech trained in 4000+ Languages

Marktechpost

Self-supervised learning (SSL) has expanded the reach of speech technologies to many languages by minimizing the need for labeled data. However, current models only support 100-150 of the world’s 7,000+ languages. This limitation is largely due to the scarcity of transcribed speech, as only about half of these languages have formal writing systems, and even fewer have the resources to generate the extensive annotated data needed for training.

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