Wed.Jun 12, 2024

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How to Build NLP Applications with Hugging Face?

Analytics Vidhya

Introduction Hugging Face (HF) is a pioneering AI platform enabling ML community collaboration on models, datasets, and applications. This article will delve into Hugging Face’s capabilities for building NLP applications, covering key services such as models, datasets, and open-source libraries. Whether you are a beginner or an experienced developer, Hugging Face offers versatile tools to […] The post How to Build NLP Applications with Hugging Face?

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Apple Intelligence: Transforming Your iPhone into a True Assistant

Unite.AI

On June 10, at the WWDC , Apple unveiled a groundbreaking revelation: the integration of artificial intelligence across all its products, headlined by the eagerly awaited iOS 18, which is usually available in September. This innovation, forged through a strategic alliance with OpenAI, promises to revolutionize Siri, transforming it into a highly sophisticated, intelligent assistant that seamlessly integrates with iPhone applications, handling complex tasks with ease.

OpenAI 289
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Musk ends OpenAI lawsuit while slamming Apple’s ChatGPT plans

AI News

Elon Musk has dropped his lawsuit against OpenAI , the company he co-founded in 2015. Court filings from the Superior Court of California reveal that Musk called off the legal action on June 11th, just a day before an informal conference was scheduled to discuss the discovery process. Musk had initially sued OpenAI in March 2024, alleging breach of contracts, unfair business practices, and failure in fiduciary duty.

OpenAI 287
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Qwen2: Alibaba Cloud’s Open-Source LLM

Analytics Vidhya

Introduction Many new companies are popping up and releasing new open source Large Language Models in the coming years. As time progresses, these models are becoming closer and closer to the paid closed-source models. These companies are releasing these models in various sizes and making sure to keep their licenses so that anyone can use […] The post Qwen2: Alibaba Cloud’s Open-Source LLM appeared first on Analytics Vidhya.

LLM 291
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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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BetterPic Review: Can AI Generate Headshots in 25 Minutes?

Unite.AI

With the increasing prevalence of digital networking, having a professional corporate headshot makes all the difference. For example, the quality of your LinkedIn profile picture can be make-or-break for an employer that comes across your profile looking for candidates. However, not everyone wants to spend the time and money on a traditional photo shoot.

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ChatGPT Prompt Generator: Unleashing the power of AI conversations

AI News

In the ever-evolving digital landscape, where AI is rapidly transforming the way we interact and communicate, WebUtility’s ChatGPT Prompt Generator emerges as a game-changer. This innovative tool empowers users to harness the full potential of ChatGPT, one of the most advanced language models developed by OpenAI. At its core, the ChatGPT Prompt Generator is designed to simplify the process of crafting tailored prompts for ChatGPT.

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Line Plot with Seaborn

Analytics Vidhya

Introduction For creating eye-catching and educational statistics visuals, Seaborn provides a high-level interface. Seaborn makes it simple to build and modify line plots, which are helpful for displaying data trends over time. This tutorial goes over how to set up your environment, make both simple and personalized line plots, and customize your plots with different […] The post Line Plot with Seaborn appeared first on Analytics Vidhya.

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BlinqIO Secures $5M to Transform Software Testing with AI-Powered Automation

Unite.AI

BlinqIO , an innovative AI-driven software testing platform, has secured $5 million in funding , led by Boston-based Flint Capital along with key Silicon Valley executives and top-tier investors, including Inovia Capital and TAL Ventures. This investment is set to drive BlinqIO's expansion across the United States, addressing the critical shortage of test programmers by deploying autonomous AI test engineers.

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Redact Personal Identifiable Information (PII) from audio with Node.js

AssemblyAI

Personally Identifiable Information, or PII, is personal information about an individual that can be used to identify an individual. How and by whom PII is handled and accessed is regulated by laws such as HIPAA, GDPR, and CCPA. Redacting PII from video and audio files is a common requirement for applications—for example, a phone conversation between a doctor and a patient.

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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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It’s Time for Law firms To Go All In on AI

Unite.AI

Amid the excitement over how AI will revolutionize healthcare , advertising , logistics and everything else, one industry has flown under the radar: the legal profession. In fact, the business of law is a strong contender for achieving the highest return on investment (ROI) from using AI. Law firms are seen as traditional, not as eager adopters of new technology, but most have used machine learning (ML) for years.

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Large Generative Graph Models (LGGMs): A New Class of Graph Generative Model Trained on a Large Corpus of Graphs

Marktechpost

Large Generative Models (LGMs) like GPT, Stable Diffusion, Sora, and Suno have recently made remarkable strides in creating creative and meaningful content, greatly boosting the efficiency of real-world applications. Unlike earlier models like Bert/Bart in Natural Language Processing (NLP) and Unet in Image Segmentation, which were trained on small datasets from specific areas and for narrow tasks, the success of these LGMs comes from their extensive training on well-curated data from a wide ran

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SolarWinds IT Trends Report 2024: Embracing AI – A Boon or a Risk?

Unite.AI

The 2024 SolarWinds IT Trends Report, titled “ AI: Friend or Foe? “, provides a comprehensive examination of the current landscape of artificial intelligence (AI) within IT operations. Conducted in partnership with UserEvidence , the report surveyed nearly 700 IT professionals to understand their views on AI, focusing on the benefits, challenges, and future implications of AI and AIOps (AI for IT operations).

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Every Company’s Data is Their ‘Gold Mine,’ NVIDIA CEO Says at Databricks Data + AI Summit

NVIDIA

Accelerated computing is transforming data processing and analytics for enterprises, declared NVIDIA founder and CEO Jensen Huang Wednesday during an on-stage chat with Databricks cofounder and CEO Ali Ghodsi at the Databricks Data + AI Summit 2024. “Every company’s business data is their gold mine,” Huang said, explaining that every company has enormous amounts of data, but extracting insights and distilling intelligence from it has been challenging.

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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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How FactSet Implemented an Enterprise Generative AI Platform with Databricks and MLflow

databricks

“FactSet’s mission is to empower clients to make data-driven decisions and supercharge their workflows and productivity. To deliver AI-driven solutions across our entire.

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Scaling to New Heights: NVIDIA MLPerf Training Results Showcase Unprecedented Performance and Elasticity

NVIDIA

The full-stack NVIDIA accelerated computing platform has once again demonstrated exceptional performance in the latest MLPerf Training v4.0 benchmarks. NVIDIA more than tripled the performance on the large language model (LLM) benchmark, based on GPT-3 175B, compared to the record-setting NVIDIA submission made last year. Using an AI supercomputer featuring 11,616 NVIDIA H100 Tensor Core GPUs connected with NVIDIA Quantum-2 InfiniBand networking, NVIDIA achieved this remarkable feat through lar

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Mosaic AI: Build and deploy production-quality Compound AI Systems

databricks

Over the last year, we have seen a surge of commercial and open-source foundation models showing strong reasoning abilities on general knowledge tasks.

AI 144
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Are You a Startup Struggling with UI/UX For Production? Meet CodeParrot: An AI-Powered Tool that Transforms Figma Files to Production Ready Code

Marktechpost

Developers spend much of their time and effort trying to make attractive products and websites. Users’ expectations have never been greater with all the available products and websites. Meet CodeParrot AI, an AI-powered startup with super cool AI tools designers and developers can use to make coding easier. The main purpose of this application is to streamline the process of building web parts by translating Figma Design into components for React, Vue, and Angular.

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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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Build a custom UI for Amazon Q Business

AWS Machine Learning Blog

Amazon Q is a new generative artificial intelligence (AI)-powered assistant designed for work that can be tailored to your business. Amazon Q can help you get fast, relevant answers to pressing questions, solve problems, generate content, and take actions using the data and expertise found in your company’s information repositories and enterprise systems.

IDP 129
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Inspectus: An Open-Sourced Large Language Model LLM Attention Visualization Library

Marktechpost

In large language models, understanding how they work and what they pay attention to is crucial for improving their performance. However, analyzing the attention patterns of these models, especially in large-scale scenarios, can be daunting. Researchers and developers often need to gain insights into how tokens interact with each other during processing.

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AL Interview With Jeff Pfeifer: Lexis+ AI, Henchman + That Stanford Study

Artificial Lawyer

Ahead of the launch of LexisNexis’ major release of Lexis+ AI in the UK, Artificial Lawyer spoke in-depth to Jeff Pfeifer, CPO for North America and the UK, about the recent Henchman acquisition, w…

AI 129
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This AI Paper from Snowflake Evaluates GPT-4 Models Integrated with OCR and Vision for Enhanced Text and Image Analysis: Advancing Document Understanding

Marktechpost

Document understanding is a critical field that focuses on converting documents into meaningful information. This involves reading and interpreting text and understanding the layout, non-textual elements, and text style. The ability to comprehend spatial arrangement, visual clues, and textual semantics is essential for accurately extracting and interpreting information from documents.

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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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Scalable intelligent document processing using Amazon Bedrock

AWS Machine Learning Blog

In today’s data-driven business landscape, the ability to efficiently extract and process information from a wide range of documents is crucial for informed decision-making and maintaining a competitive edge. However, traditional document processing workflows often involve complex and time-consuming manual tasks, hindering productivity and scalability.

IDP 127
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Instruct-MusicGen: A Novel Artificial Intelligence AI Approach to Text-to-Music Editing that Fosters Joint Musical and Textual Controls

Marktechpost

Researchers from C4DM, Queen Mary University of London, Sony AI, and Music X Lab, MBZUAI, have introduced Instruct-MusicGen to address the challenge of text-to-music editing, where textual queries are used to modify music, such as changing its style or adjusting instrumental components. Current methods are required to train specific models from scratch, are resource-intensive, and need some approaches to reconstruct edited audio, leading to subpar results precisely.

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Use weather data to improve forecasts with Amazon SageMaker Canvas

AWS Machine Learning Blog

Photo by Zbynek Burival on Unsplash Time series forecasting is a specific machine learning (ML) discipline that enables organizations to make informed planning decisions. The main idea is to supply historic data to an ML algorithm that can identify patterns from the past and then use those patterns to estimate likely values about unseen periods in the future.

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What’s New with Databricks Unity Catalog at Data + AI Summit 2024

databricks

In an era marked by rapid advancements in artificial intelligence and an explosion of data and Gen AI tools, enterprises face fragmented data.

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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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This AI Paper from Georgia Institute of Technology Introduces LARS-VSA (Learning with Abstract RuleS): A Vector Symbolic Architecture For Learning with Abstract Rules

Marktechpost

Analogical reasoning, fundamental to human abstraction and creative thinking, enables understanding relationships between objects. This capability is distinct from semantic and procedural knowledge acquisition, which contemporary connectionist approaches like deep neural networks (DNNs) typically handle. However, these techniques often need help to extract relational abstract rules from limited samples.

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Mixing up mocktails

SAS Software

Mocktails are drinks that have all the flavor of traditional cocktails minus the alcohol. Whether you’re the designated driver, a non-drinker, looking to improve your health or simply seeking a refreshing sip, mocktails offer an elevated alternative for more conscious consumption. History of Mocktails In the 1800s, the temperance movement [.] The post Mixing up mocktails appeared first on SAS Blogs.

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Google AI Introduces Proofread: A Novel Gboard Feature Enabling Seamless Sentence-Level And Paragraph-Level Corrections With A Single Tap

Marktechpost

Gboard, Google’s mobile keyboard app, operates on the principle of statistical decoding. This approach is necessary due to the inherent inaccuracy of touch input, often referred to as the ‘fat finger’ problem, on small screens. Studies have shown that without decoding, the error rate for each letter can be as high as 8 to 9 percent.