Mon.Jul 08, 2024

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Gemma 2: Successor to Google Gemma Family of Large Language Models

Analytics Vidhya

Introduction Google’s Gemma family of language models, renowned for their efficiency and performance, has recently welcomed Gemma 2. This latest iteration introduces two models: a 27 billion parameter version that matches the performance of larger models like Llama 3 70B with significantly lower processing requirements, and a 9 billion parameter version that surpasses the Llama […] The post Gemma 2: Successor to Google Gemma Family of Large Language Models appeared first on Analytics

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Meta’s LLM Compiler: Innovating Code Optimization with AI-Powered Compiler Design

Unite.AI

The quest for efficiency and speed remains vital in software development. Every saved byte and optimized millisecond can significantly enhance user experience and operational efficiency. As artificial intelligence continues to advance, its ability to generate highly optimized code not only promises greater efficiency but also challenges traditional software development methods.

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What is Temperature in Prompt Engineering?

Analytics Vidhya

Introduction Prompt engineering is key to dealing with large language models (LLMs) such as GPT-4. “Temperature,” one of the most important prompt engineering parameters, greatly impacts the model’s behavior and output. This article examines the idea of temperature in prompt engineering, defines it, outlines its operation, and provides practical advice on utilizing it to modify […] The post What is Temperature in Prompt Engineering?

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How the electrification of industrial processes can combat climate change

IBM Journey to AI blog

In the late 19th century, manufacturing facilities began adopting electrification as a way to generate cost savings. Now, more than two centuries later, there’s a renaissance in the electrification of industry: from shipping terminals in New Jersey to steel production in New Zealand, industrial operations are turning to electrification more than ever before.

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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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Rajini++: Programming Language Inspired by Rajinikanth

Analytics Vidhya

Introduction Innovation and creativity frequently cross paths in programming languages in surprising ways. One such instance is the computer language Rajini++, which drew inspiration from the well-known lines of South Indian movie star Rajinikanth. Aadhithya Sankar’s playful and distinctive esoteric programming language Rajini++ (or Rajinipp) is a tribute to the iconic actor.

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Introduction to McCulloch-Pitts Neuron

Analytics Vidhya

Introduction Biological neurons are pivotal in artificial neural network research, mirroring the intricate structures responsible for brain functions. Soma, axons, dendrites, and synapses are part of neurons that help process information. McCulloch-Pitts Neuron is an early computational model that simulates the basic operations of these biological units.

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Create Multi-Lingual Subtitles with AssemblyAI and DeepL

AssemblyAI

Subtitles are vital for enhancing the accessibility of an application. Users who have difficulty understanding the language of a video rely on subtitles to help them understand and grasp the contents of the video. Typically, creating subtitles for videos requires tedious manual work to carefully transcribe each and every word while also keeping track of the timeline.

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Difference Between SQL Commit and SQL Rollback

Analytics Vidhya

Introduction Managing data transactions is an important skill to have while working with databases. Tools like Structured Query Language (SQL) help you do this efficiently. It offers an array of built-in commands that can handle transactions, ensuring data integrity and consistency. Two most commonly used commands in this context are COMMIT and ROLLBACK.

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Brandon Anderson, Chief Product Officer at Zingtree – Interview Series

Unite.AI

Brandon Anderson is the Chief Product Officer at Zingtree responsible for product vision and strategy, user experience, and delivering superior solutions and value to our customers. Brandon has 20 years experience in Product across a number of companies. Prior to Zingtree, Brandon led Product, User Experience and Analytics at SportsEngine, a B2B and B2B2C SaaS company which was acquired by NBC Sports in 2016.

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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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What is Python IDLE?

Analytics Vidhya

Introduction Python IDLE is a very helpful tool which helps to develop, debug and run Python code easily. It is useful for programmers of all experience levels due to an interactive shell, syntax highlighting, auto-completion, and an integrated debugger. This article includes the general description of functionality, setup, and real-life implementation of the described concept. […] The post What is Python IDLE?

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Map your journey to IBM Sterling Order Management modernization in 3 stages

IBM Journey to AI blog

As your business evolves to meet future goals, it becomes essential to use a flexible, composable order management system (OMS) that enables you to modernize your application stack and grow at your own pace. An IBM IBV study shows 85% of executives agree that modernizing applications and data is key to their business strategy. However, only 27% say that their organization has modernized many necessary workflows, including applications, data and systems.

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Graph RAG: Enhancing Retrieval-Augmented Generation with Graph Structures

Analytics Vidhya

Introduction Have you ever wondered how some AI systems seem to pull up just the right information and weave it into their answers as if they were chatting with an expert? That’s the magic of the Retrieval-Augmented Generation (RAG). RAG represents a powerful advancement in natural language processing, effectively merging the strengths of generative and […] The post Graph RAG: Enhancing Retrieval-Augmented Generation with Graph Structures appeared first on Analytics Vidhya.

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Why an SBOM should be at the center of your application management strategy

IBM Journey to AI blog

The concept of a Software Bill of Materials (SBOM) was originally focused on supply chain security or supply chain risk management. The idea was that if you know how all the different tools and components of your application are connected, you can minimize the risk associated with any component if it becomes compromised. SBOMs have become a staple of most security teams because they offer a quick way to trace the “blast radius” of a compromised piece of an application.

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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 Install Power BI Desktop

Analytics Vidhya

Introduction Power BI is a freely available tool from Microsoft for business analytics. It helps you visualize data and seamlessly share the insights from it with stakeholders. Whether you’re a data scientist, an analyst, or a business user, Power BI is a must-know tool that can make your work a lot easier. It allows you […] The post How to Install Power BI Desktop appeared first on Analytics Vidhya.

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This AI Paper from Cohere for AI Presents a Comprehensive Study on Multilingual Preference Optimization

Marktechpost

Multilingual natural language processing (NLP) is a rapidly advancing field that aims to develop language models capable of understanding & generating text in multiple languages. These models facilitate effective communication and information access across diverse linguistic backgrounds. This field’s importance lies in its potential to bridge the gap between different language speakers, making technological advancements in AI accessible globally.

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Segment Anything Model(SAM): Meta’s Groundbreaking Segment Anything Model

Analytics Vidhya

Introduction Meta AI (formerly Facebook AI) has introduced a revolutionary AI model called SAM (Segment Anything Model), representing a significant leap forward in computer vision and image segmentation technology. This article explores SAM’s features, capabilities, potential applications, and implications for various industries. Overview What is SAM?

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Welcoming Prodvana to Databricks: Investing in Next-Gen Infrastructure

databricks

The Prodvana team joins Databricks to support new innovations in the Data Intelligence Platform infrastructure. Learn more about the vision and what's ahead.

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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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This AI Research from Tenyx Explore the Reasoning Abilities of Large Language Models (LLMs) Through Their Geometrical Understanding

Marktechpost

Large language models (LLMs) have demonstrated remarkable performance across various tasks, with reasoning capabilities being a crucial aspect of their development. However, the key elements driving these improvements remain unclear. Currently, the primary approaches to enhance reasoning involve increasing model size and expanding context length through techniques like chain of thought, retrieval augmented generation, and example-based prompting.

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Eviden scales AWS DeepRacer Global League using AWS DeepRacer Event Manager

AWS Machine Learning Blog

Eviden is a next-gen technology leader in data-driven, trusted, and sustainable digital transformation. With a strong portfolio of patented technologies and worldwide leading positions in advanced computing, security, AI, cloud, and digital platforms, Eviden provides deep expertise for a multitude of industries in more than 47 countries. Eviden is an AWS Premier partner , bringing together 47,000 world-class talents and expanding the possibilities of data and technology across the digital contin

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Innodata’s Comprehensive Benchmarking of Llama2, Mistral, Gemma, and GPT for Factuality, Toxicity, Bias, and Hallucination Propensity

Marktechpost

In a recent study by Innodata , various large language models (LLMs) such as Llama2, Mistral, Gemma, and GPT were benchmarked for their performance in factuality, toxicity, bias, and propensity for hallucinations. The research introduced fourteen novel datasets designed to evaluate the safety of these models, focusing on their ability to produce factual, unbiased, and appropriate content.

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Databricks Named a Leader in Stream Processing and Cloud Data Pipelines

databricks

We are proud to announce two new analyst reports recognizing Databricks in the data engineering and data streaming space: IDC MarketScape: Worldwide Analytic.

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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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This AI Research from Ohio State University and CMU Discusses Implicit Reasoning in Transformers And Achieving Generalization Through Grokking

Marktechpost

Large Language Models (LLMs) with parametric memory of rules and knowledge have shown limitations in implicit reasoning. Research has shown that these models, even more complex ones like GPT-4, have trouble applying and integrating internalized facts reliably. For instance, even when they are aware of the entities in question, they frequently make inaccurate comparisons of their properties.

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Generate unique images by fine-tuning Stable Diffusion XL with Amazon SageMaker

AWS Machine Learning Blog

Stable Diffusion XL by Stability AI is a high-quality text-to-image deep learning model that allows you to generate professional-looking images in various styles. Managed versions of Stable Diffusion XL are already available to you on Amazon SageMaker JumpStart (see Use Stable Diffusion XL with Amazon SageMaker JumpStart in Amazon SageMaker Studio ) and Amazon Bedrock (see Stable Diffusion XL in Amazon Bedrock ), allowing you to produce creative content in minutes.

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DRLQ: A Novel Deep Reinforcement Learning (DRL)-based Technique for Task Placement in Quantum Cloud Computing Environments

Marktechpost

The ever-evolving nature of quantum computing renders managing tasks with the traditional heuristic approach very tricky. These models often struggle with adapting to the changes and complexities of quantum computing while maintaining the system efficiency. Scheduling tasks is crucial for such systems to reduce time wastage and resource management. Existing models are liable to place tasks on unsuitable quantum computers, requiring frequent rescheduling due to mismatched resources.

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Paxton AI Launches ‘Citator’, Publishes Accuracy Scores

Artificial Lawyer

Legal tech startup Paxton AI, which focuses on contract drafting, review and research, has launched ‘Citator’, a now patent-pending feature that checks the standing and.

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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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Researchers at the University of Manchester Proposes ESBMC-Python: The First BMC-based Python-code Verifier for Formal Verification of Python Programs

Marktechpost

Formal verification is crucial in software engineering to ensure program correctness through mathematical proof. One widely used technique for this purpose is bounded model checking (BMC), which involves verifying the correctness of a program within specified bounds. Python, a programming language favored for its simplicity and extensive libraries, particularly in fields like web development, image processing, and artificial intelligence, presents unique challenges for formal verification.

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Cinco tendencias en el uso de la IA en pagos digitales

SAS Software

En el dinámico mundo de los pagos, donde la comodidad y la rapidez son la norma, el fraude ha evolucionado a la par. Los delincuentes utilizan tecnologías avanzadas para preparar estafas, poniendo en riesgo la seguridad financiera de millones de usuarios. Para enfrentar este desafío, la industria financiera está recurriendo [.] The post Cinco tendencias en el uso de la IA en pagos digitales appeared first on SAS Blogs.

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Salesforce Research Introduces INDICT: A Groundbreaking Framework Enhancing the Safety and Helpfulness of AI-Generated Code Across Diverse Programming Languages

Marktechpost

The ability to automate and assist in coding has the potential to transform software development, making it faster and more efficient. However, ensuring these models produce helpful and secure code is the challenge. The intricate balance between functionality and safety is critical, especially when the generated code could be exploited maliciously. In practical applications, LLMs often encounter difficulties when dealing with ambiguous or malicious instructions.