Fri.Mar 29, 2024

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Salesforce BLIP: Revolutionizing Image Captioning

Analytics Vidhya

Introduction Image captioning is another exciting innovation in artificial intelligence and its contribution to computer vision. Salesforce’s new tool, BLIP, is a great leap. This image captioning AI model provides a great deal of interpretation through its working process. Bootstrapping Language-image Pretraining (BLIP) is a technology that generates captions from images with a high level […] The post Salesforce BLIP: Revolutionizing Image Captioning appeared first on Analytics Vidhya.

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Integrating AI into Asset Performance Management: It’s all about the data

IBM Journey to AI blog

Imagine a future where artificial intelligence (AI) seamlessly collaborates with existing supply chain solutions, redefining how organizations manage their assets. If you’re currently using traditional AI, advanced analytics, and intelligent automation, aren’t you already getting deep insights into asset performance? Undoubtedly. But what if you could optimize even further?

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X-CLIP: Advancing Video Recognition with Language-Image Pretraining

Analytics Vidhya

Introduction Video recognition is a cornerstone of modern computer vision, enabling machines to understand and interpret visual content in videos. With the rapid evolution of convolutional neural networks (CNNs) and transformers, significant strides have been made in enhancing the accuracy and efficiency of video recognition systems. However, traditional approaches are often constrained by closed-set learning […] The post X-CLIP: Advancing Video Recognition with Language-Image Pretraining

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OpenTelemetry vs. Prometheus: You can’t fix what you can’t see

IBM Journey to AI blog

Monitoring and optimizing application performance is important for software developers and enterprises at large. The more applications that an enterprise deploys, the more data that exists for collecting and analyzing. Yet, this data isn’t worth much without the right tools for monitoring, optimizing, storing and—crucially—putting the data into context.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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RAFT – A Fine-Tuning and RAG Approach to Domain-Specific Question Answering

Unite.AI

As the applications of large language models expand into specialized domains, the need for efficient and effective adaptation techniques becomes increasingly crucial. Enter RAFT (Retrieval Augmented Fine Tuning), a novel approach that combines the strengths of retrieval-augmented generation (RAG) and fine-tuning, tailored specifically for domain-specific question answering tasks.

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Historical Note: Was a Subway in New York City Inevitable?

AI Impacts

Introduction The first serious attempt at building a subway in New York City occurred in 1866, following the end of the Civil War (1865) and the opening of the first subway in London (1863). The following decades saw a sequence of failed attempts, and the first subway in New York City would not begin operations until 1904. When we consider how popular the subway was, even when it first opened, these failures are remarkable.

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Holistic asset management for utility network companies

IBM Journey to AI blog

Addressing challenges of the energy transition with grid asset management The energy transition is gearing up to full speed as renewable energy sources replace fossil-based systems of energy production. The grid itself must green to operate within the environmental, social and governance (ESG) objectives and become carbon neutral by 2050. This shift requires energy utility companies to plan their grid asset management holistically as they find a new balance between strategic objectives.

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Gartner Data & Analytics Summit São Paulo: Mercado Livre’s AI and Data Democratization in Brazil

Unite.AI

I had the opportunity to attend the Gartner Data & Analytics Summit in São Paulo, Brazil, from March 25-27. The conference brought together industry leaders, experts, and practitioners to discuss the latest trends, strategies, and best practices in data and analytics. Brazil's growing importance in the AI landscape was evident throughout the event, with many insightful presentations and discussions focusing on AI adoption and innovation.

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Create a lasting customer retention strategy

IBM Journey to AI blog

Customer retention must be a top priority for leaders of any company wanting to remain competitive. An effective customer retention strategy should support the company to maintain a healthy stable of loyal customers and bring in new customers. Generating repeat business is critical: McKinsey’s report on customer acquisition states (link resides outside of ibm.com) that companies need to acquire three new customers to make up the business value of losing one existing customer.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Google AI Introduces AutoBNN: A New Open-Source Machine Learning Framework for Building Sophisticated Time Series Prediction Models

Marktechpost

GoogleAI researchers released AutoBNN to address the challenge of effectively modeling time series data for forecasting purposes. Traditional Bayesian approaches like Gaussian processes (GPs) and structural time series could not overcome limitations in scalability, interpretability, and computational efficiency. The neural network-based approaches lack interpretability and may not provide reliable uncertainty estimates.

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Empowering career growth amidst global challenges 

IBM Journey to AI blog

Finding the right recipe for career growth can challenge global clients. At Conagra, a leading food manufacturer, prioritizing employee growth and career mobility became paramount, especially amidst the recent pandemic. The company recognized the need for a strong skills foundation, empowering its workforce to develop talents and explore new career opportunities within the organization.

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X.ai Announces Grok 1.5: A Look at the Improved Reasoning and Long Context Capabilities

Marktechpost

X.ai has announced the release of Grok-1.5, an advanced version of the Grok-1 AI model with improved reasoning and a context length of 128,000 tokens. Here’s a quick breakdown of the key features and functionalities of Grok 1.5: Improved Reasoning: Grok-1.5 demonstrates significant improvements in reasoning and problem-solving capabilities compared to its predecessor Grok-1.

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Apple Has Silently Removed the UltraFusion Interconnect on M3 Max

Extreme Tech

The move by Apple means the M3 Ultra could have its own interconnect, for a quad-Max 'Extreme' SoC.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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This AI Paper from Intel Presents a SYCL Implementation of Fully Fused Multi-Layer Perceptrons (MLPs) on Intel Data Center GPU Max

Marktechpost

In the field of Artificial Intelligence (AI), Multi-Layer Perceptrons (MLPs) are the foundation for many Machine Learning (ML) tasks, including partial differential equation solving, density function representation in Neural Radiance Fields (NeRFs), and ray tracing simulation using Neural Ray Tracing. Fully connected layers, in which every neuron in a layer is connected to every other neuron in the layer above and below, are a defining characteristic of MLPs.

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Announcing the General Availability of Databricks Notebooks on SQL Warehouses

databricks

Today, we are excited to announce the general availability of Databricks Notebooks on SQL warehouses. Databricks SQL warehouses are SQL-optimized compute that provide.

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How to Precisely Predict Your AI Model’s Performance Before Training Begins? This AI Paper from China Proposes Data Mixing Laws

Marktechpost

In large language models (LLMs), the landscape of pretraining data is a rich blend of diverse sources. It spans from common English to less common languages, including casual conversations and scholarly texts, and even extends to modalities like images and speeches. Within this mix, the data interact in complex ways, sometimes aligning well, diverging, and occasionally conflicting.

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Best Free AI SQL Large Model of 2024

Towards AI

Last Updated on March 31, 2024 by Editorial Team Author(s): Meng Li Originally published on Towards AI. Best AI SQL Query Tools Want to quickly get answers from your database? The Vanna framework makes this simple. It’s an open-source tool that helps you generate SQL to let the data speak for itself. [link] Vanna has three modes to suit different needs.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Vectara Releases the Factual Consistency Score (FCS): An AI Tool for Automated Hallucination Detection in Each Response It Generates

Marktechpost

In an era where generative artificial intelligence (GenAI) is rapidly transforming the landscape of business and technology, the specter of misinformation—unintentionally generated by these powerful tools—looms large. Recognizing the critical need for reliability and trust in AI-generated responses, Vectara has introduced a groundbreaking solution: the Factual Consistency Score (FCS), powered by the enhanced Hughes Hallucination Evaluation Model (HHEM).

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Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

AWS Machine Learning Blog

Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. With Amazon Lex, you can implement an omnichannel strategy where customers engage via phone, websites, and messaging platforms. The bots can answer FAQs, provide self-service experiences, or triage customer requests before transferring to a human agent.

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Mora: A New Multi-Agent Framework that Incorporates Several Advanced Visual AI Agents to Replicate Generalist Video Generation Demonstrated by Sora

Marktechpost

Researchers from Lehigh University and Microsoft introduced a new multi-agent framework, Mora, to address the challenge of advancing video generation technology. While in recent years, there has been significant progress in image and text synthesis, video generation remains relatively unexplored. Existing models have struggled to produce long-duration videos exceeding 10 seconds, limiting their practical utility.

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Microsoft Says Copilot Users Would Love It More If They Wrote Better Prompts

Extreme Tech

Rather than improving its product—or admitting people don't want it—Microsoft is throwing shade.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Meet OpenFoundry: An AI Research Startup Building a Developer Infrastructure for Open Source AI

Marktechpost

Developing and optimizing AI models requires significant work since developers frequently need help identifying the appropriate models for their particular requirements. Developing these AI solutions may be challenging and drawn out for open-source projects. Many developers find it difficult to cope with more user-friendly tools than what I need help purchasing.

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Designing Responsible AI Solutions

Towards AI

Last Updated on March 31, 2024 by Editorial Team Author(s): Dr Richard Matthews – Chief AI Officer RHEM Labs Originally published on Towards AI. Microsoft’s 6 responsible AI Principles that we use at RHEM Labs Top highlight At RHEM Labs, we run on trust, and we’re committed to building using the latest responsible AI solutions and guidelines to provide our partners and customers with secure platforms for business and data.

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Top Ten Artificial Intelligence (AI) Trends to Watch in 2024

Marktechpost

From the transformative potential of Multimodal AI, which goes beyond traditional single-mode data processing to encompass multiple input types like text, images, and sound, to the emergence of Quantum AI, the trends shaping the future of AI are both exciting and daunting. “ The interfaces of the world are multimodal ,” says Mark Chen from OpenAI As AI steadily integrates into our everyday lives, the ten AI trends to watch in 2024 encapsulate a spectrum of possibilities, challenges,

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Managed Sportlogiq to Databricks Data Ingestion Pipelines for NHL Teams: A Game-Changing Alliance

databricks

Overview In the competitive world of professional hockey, NHL teams are always seeking to optimize their performance. Advanced analytics has become increasingly important.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Researchers from the University of York and Université Paris-Saclay Introduce DeepKnowledge for Generalisation-Driven Deep Learning Testing

Marktechpost

Deep Neural Networks (DNNs) demonstrated tremendous improvement in numerous difficult activities, matching or even outperforming human ability. As a result of this accomplishment, DNNs were widely used in many safety- and security-critical applications, including autonomous driving, flight control systems, and medication development in healthcare. The performance of DNN models still needs to be more consistent, and they are unstable when exposed to even minor changes in the input data.

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Insights from a Computer Science Conference: DATE 2024

Towards AI

Last Updated on March 31, 2024 by Editorial Team Author(s): Federico Peccia Originally published on Towards AI. Top highlight In the last week of March, I attended the Design, Automation, and Test in Europe 2024 Conference. This academic conference is focused on techniques and methods for designing better electronic systems. It covers a wide range of topics, from optimizing Neural Networks for a particular hardware platform to new fabrication methods for building new hardware for AI applications

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How Visual AI Can Assist Businesses In Efficiently Managing Large Volumes Of Images

Marktechpost

Content is king. We all know that, right? Well, in today’s world, visual content has become king, with images and videos serving as not only useful but essential tools for businesses aiming to engage, inform, and captivate their audience. Yet, managing massive volumes of these visual assets poses considerable challenges. The manual tasks involved in tagging, categorizing, and optimizing for diverse platforms demand significant time and effort.

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