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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.
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?
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
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.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
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.
As the conduits through which software components interact and data flows across the internet, APIs are the lifeblood of contemporary web services. API technologies like SOAP (a web services messaging protocol), REST (an architectural style) and GraphQL (a programming language and tool) simplify software development by enabling third-party data and services integration.
As the conduits through which software components interact and data flows across the internet, APIs are the lifeblood of contemporary web services. API technologies like SOAP (a web services messaging protocol), REST (an architectural style) and GraphQL (a programming language and tool) simplify software development by enabling third-party data and services integration.
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.
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.
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.
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.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
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.
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.
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
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.
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).
Today, we are excited to announce the general availability of Databricks Notebooks on SQL warehouses. Databricks SQL warehouses are SQL-optimized compute that provide.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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.
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.
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.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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.
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.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
Overview In the competitive world of professional hockey, NHL teams are always seeking to optimize their performance. Advanced analytics has become increasingly important.
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.
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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