Mon.May 27, 2024

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How to Move Generative AI Applications to Production?

Analytics Vidhya

Introduction Deploying generative AI applications, such as large language models (LLMs) like GPT-4, Claude, and Gemini, represents a monumental shift in technology, offering transformative capabilities in text and code creation. The sophisticated functions of these powerful models have the potential to revolutionise various industries, but achieving their full potential in production situations presents a challenging […] The post How to Move Generative AI Applications to Production?

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Banking on AI: Fraud Detection, Credit Risk Analysis, and the Future of Financial Services

Unite.AI

In 2020, the financial world was rocked by a scandal involving Wirecard, a German payments processing company. Wirecard had inflated its revenue and profits for years through an elaborate accounting fraud scheme. It resulted in billions of dollars in losses for investors and exposed vulnerabilities in traditional financial oversight methods. Another notable instance of financial fraud occurred in February 2016, when hackers targeted the central bank of Bangladesh and exploited vulnerabilities i

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Python String Matching With Pregex

Analytics Vidhya

Introduction String matching in Python can be challenging, but Pregex makes it easy with its simple and efficient pattern-matching capabilities. In this article, we will explore how Pregex can help you find patterns in text effortlessly. We will cover the benefits of using Pregex, a step-by-step guide to getting started, practical examples, tips for efficient […] The post Python String Matching With Pregex appeared first on Analytics Vidhya.

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Latest Modern Advances in Prompt Engineering: A Comprehensive Guide

Unite.AI

Prompt engineering , the art and science of crafting prompts that elicit desired responses from LLMs, has become a crucial area of research and development. From enhancing reasoning capabilities to enabling seamless integration with external tools and programs, the latest advances in prompt engineering are unlocking new frontiers in artificial intelligence.

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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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How to Build an Effective Text Summarization Model Using Google’s T5-Base?

Analytics Vidhya

Introduction Text summarization is an essential part of natural language processing (NLP) that tries to shorten enormous amounts of text and make more readable summaries while retaining crucial information. Given the expansion of internet material, good summarizing techniques are essential for various applications, such as academic research, content generation, and news summaries.

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8 Incredible Announcements at Microsoft Build 2024

Analytics Vidhya

After OpenAI and Google updates, Microsoft is now here with AI uprises!! Have you followed the Microsoft Build 2024? As expected, Microsoft Build 2024 has been a memorable event, and I am sure the announcements there will change tech as we know it today. Microsoft said the updates will redefine how we engage with tech, […] The post 8 Incredible Announcements at Microsoft Build 2024 appeared first on Analytics Vidhya.

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Combining the Best of Both Worlds: Retrieval-Augmented Generation for Knowledge-Intensive Natural Language Processing

Marktechpost

Knowledge-intensive Natural Language Processing (NLP) involves tasks requiring deep understanding and manipulation of extensive factual information. These tasks challenge models to effectively access, retrieve, and utilize external knowledge sources, producing accurate and relevant outputs. NLP models have evolved significantly, yet their ability to handle knowledge-intensive tasks still needs to be improved due to their static nature and inability to incorporate external knowledge dynamically.

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NVIDIA Scoops Up Wins at COMPUTEX Best Choice Awards

NVIDIA

Building on more than a dozen years of stacking wins at the COMPUTEX trade show’s annual Best Choice Awards , NVIDIA was today honored with BCAs for its latest technologies. The NVIDIA GH200 Grace Hopper Superchip won the Computer and System Category Award; the NVIDIA Spectrum-X AI Ethernet networking platform won the Networking and Communication Category Award; and the NVIDIA AI Enterprise software platform won a Golden Award.

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This AI Study from MIT Proposes a Significant Refinement to the simple one-dimensional linear representation hypothesis

Marktechpost

In a recent study, a team of researchers from MIT introduced the linear representation hypothesis, which suggests that language models perform calculations by adjusting one-dimensional representations of features in their activation space. According to this theory, these linear characteristics can be used to understand the inner workings of language models.

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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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Estudio: 8 de cada 10 defraudadores prevén utilizar IA generativa en 2025

SAS Software

Una encuesta mundial de profesionales antifraude realizada por la ACFE y SAS revela un increíble entusiasmo por la IA generativa, pero estudios de referencia anteriores sugieren una realidad más difícil. La IA generativa ha cautivado la imaginación del público, y su poder y promesa parecen estar a punto de afectar [.] The post Estudio: 8 de cada 10 defraudadores prevén utilizar IA generativa en 2025 appeared first on SAS Blogs.

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Cognita: An Open Source Framework for Building Modular RAG Applications

Marktechpost

Managing and deploying Retrieval-Augmented Generation (RAG) systems has recently become a significant challenge, especially when moving from experimental setups to production environments. While tools like Langchain and LlamaIndex offer convenient abstractions for initial development and prototyping, they often need to catch up regarding modularity, scalability, and extensibility required for production.

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Efficient Diffusion Models without Attention

Machine Learning Research at Apple

Transformers have demonstrated impressive performance on class-conditional ImageNet benchmarks, achieving state-of-the-art FID scores. However, their computational complexity increases with transformer depth/width or the number of input tokens and requires patchy approximation to operate on even latent input sequences.

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Symflower Launches DevQualityEval: A New Benchmark for Enhancing Code Quality in Large Language Models

Marktechpost

Symflower has recently introduced DevQualityEval , an innovative evaluation benchmark and framework designed to elevate the code quality generated by large language models (LLMs). This release will allow developers to assess and improve LLMs’ capabilities in real-world software development scenarios. DevQualityEval offers a standardized benchmark and framework that allows developers to measure & compare the performance of various LLMs in generating high-quality code.

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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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Handle Long Pause Between Bot Responses Using Dialogflow

Chatbots Life

Why does audio need to be included in interactions between users and bots? In a conversational AI-enabled voice bot, in case of obtaining data from a database or requesting information from LLM models like ChatGPT, Claude, Gemini, or LLaMA, there’s inevitably a delay while waiting for updates or responses, often leading to an awkward pause in the interaction.

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Llama 2 to Llama 3: Meta’s Leap in Open-Source Language Models

Marktechpost

Recently, Meta has been at the forefront of Open Source LLMs with its Llama series. Following the success of Llama 2, Meta has introduced Llama 3, which promises substantial improvements and new capabilities. Let’s delve into the advancements from Llama 2 to Llama 3, highlighting the key differences and what they mean for the AI community. Llama 2 Llama 2 significantly advanced Meta’s foray into open-source language models.

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Google Search AI Is Giving Users Catastrophic Instructions

Extreme Tech

Thankfully, most of us know better than to eat rocks or smoke cigarettes during pregnancy.

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Behind AI #15: Automate The Most Tedious Task on The Internet With Python

Artificial Corner

Hi! I’ve just emailed the 20 lucky winners of the giveaway 34k subs. Check out if you got an email from articial corner today (besides this one). Thanks all for participanting! Nowadays everyone wants to get some data from you, so to create a new account, participate in a giveaway, or get a free e-book you need to fill in your information in a form.

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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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Automate the Web Testing with Playwright and Python

Pragnakalp

Automating Web Tasks with Playwright in Python In the dynamic landscape of web development, automating repetitive tasks is not just a luxury—it’s a necessity. One of the most powerful tools for web automation is Playwright, a Node library extended to support Python. It allows for robust end-to-end testing, automating interactions with web pages in a way that simulates real user behaviors.

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TransOrg’s CX-LLM: Redefining Airline Customer Service with Cutting-Edge AI

TransOrg Analytics

TransOrg’s CX-LLM In the rapidly evolving AI world, chatbots are helping diverse business sectors enhance service delivery and customer interaction. Nowadays, LLMs empower chatbots that engage with users naturally. They provide personalized responses and assistance and improve user interactions. This article explores the transformative impact of LLM chatbots compared to traditional chatbots and explains how TranOrg provided an LLM chatbot for an Airline company.

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Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications

Machine Learning Research at Apple

We consider the task of animating 3D facial geometry from speech signal. Existing works are primarily deterministic, focusing on learning a one-to-one mapping from speech signal to 3D face meshes on small datasets with limited speakers. While these models can achieve high-quality lip articulation for speakers in the training set, they are unable to capture the full and diverse distribution of 3D facial motions that accompany speech in the real world.

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AI Resilience: Upskilling in an AI Dominant Environment

ODSC - Open Data Science

At this year’s ODSC East , Leondra Gonzalez gave a compelling talk on navigating a career in data science given recent technological advances in AI. Since ChatGPT became widely available to the public in 2022, AI technology has become even more buzzworthy. Advances in large language models and other techniques’ ability to process huge amounts of unstructured data have changed the game in a variety of domains; data science is no different.

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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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ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models

Machine Learning Research at Apple

Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and the controllability for complex scenes containing multi-class objects and dense objects with occlusions remain limited. This paper presents ODGEN, a novel method to generate high-quality images conditioned on bounding boxes, thereby facilitating data synthesis for object detection.

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Dockerizing Playwright for Seamless Web Scraping

Pragnakalp

Introduction In this blog, get ready for an exciting exploration into the dynamic intersection of Playwright and Docker, an innovative fusion. Running Playwright scripts using Docker has become a popular choice among developers for its simplicity and consistency. Docker allows you to bundle your Python Playwright scripts and all their necessary components into a single container, ensuring a smooth execution across different environments.

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KPConvX: Modernizing Kernel Point Convolution with Kernel Attention

Machine Learning Research at Apple

In the field of deep point cloud understanding, KPConv is a unique architecture that uses kernel points to locate convolutional weights in space, instead of relying on Multi-Layer Perceptron (MLP) encodings. While it initially achieved success, it has since been surpassed by recent MLP networks that employ updated designs and training strategies.

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Content moderation on audio files with Python

AssemblyAI

With a growing percentage of human communication happening online, ensuring that this communication is content-appropriate for a given platform is critical to maintaining the integrity and safety of online spaces. Content moderation is essential in these efforts, helping to detect and manage inappropriate or sensitive material in media files. In this tutorial, we'll learn how you can use Python and state-of-the-art AI models to automatically perform content moderation on audio files at scal

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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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Building Production-Ready AI Solutions: The Essential Role of Guardrails

Marktechpost

LLMs have emerged as powerful tools for a wide range of applications. However, their open-ended nature poses unique challenges when it comes to security, safety, reliability, and ethical use….topics essential when building for a production level AI solutions. Example of Risks : Rogue chatbot: The Air Canada chatbot promised a discount, and now the airline has to honor such a discount.

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A Comprehensive Review of Survey on Efficient Multimodal Large Language Models

Marktechpost

Multimodal large language models (MLLMs) are cutting-edge innovations in artificial intelligence that combine the capabilities of language and vision models to handle complex tasks such as visual question answering & image captioning. These models utilize large-scale pretraining, integrating multiple data modalities to enhance their performance significantly across various applications.