Unite.AI

MARCH 11, 2024

As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and collaborative compound AI systems like AlphaGeometry and Retrieval Augmented Generation (RAG) system.

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Unite.AI

NOVEMBER 5, 2024

The Artificial Intelligence (AI) chip market has been growing rapidly, driven by increased demand for processors that can handle complex AI tasks. The need for specialized AI accelerators has increased as AI applications like machine learning, deep learning , and neural networks evolve.

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Unite.AI

AUGUST 19, 2024

Neural networks have been at the forefront of AI advancements, enabling everything from natural language processing and computer vision to strategic gameplay, healthcare, coding, art and even self-driving cars. The structure typically includes an input layer, one or more hidden layers, and an output layer.

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Marktechpost

DECEMBER 10, 2024

Artificial Neural Networks (ANNs) have become one of the most transformative technologies in the field of artificial intelligence (AI). Modeled after the human brain, ANNs enable machines to learn from data, recognize patterns, and make decisions with remarkable accuracy. How Do Artificial Neural Networks Work?

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Unite.AI

MARCH 2, 2025

Artificial Intelligence (AI) is evolving at an unprecedented pace, with large-scale models reaching new levels of intelligence and capability. From early neural networks to todays advanced architectures like GPT-4 , LLaMA , and other Large Language Models (LLMs) , AI is transforming our interaction with technology.

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IBM Journey to AI blog

OCTOBER 3, 2023

And this year, ESPN Fantasy Football is using AI models built with watsonx to provide 11 million fantasy managers with a data-rich, AI-infused experience that transcends traditional statistics. But numbers only tell half the story. For the past seven years, ESPN has worked closely with IBM to help tell the whole tale.

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Unite.AI

NOVEMBER 28, 2024

This exponential growth made increasingly complex AI tasks feasible, allowing machines to push the boundaries of what was previously possible. 1980s – The Rise of Machine Learning The 1980s introduced significant advances in machine learning , enabling AI systems to learn and make decisions from data.

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Towards AI

FEBRUARY 3, 2025

AI is being discussed in various sectors like healthcare, banking, education, manufacturing, etc. However, DeepSeek AI is taking a different direction than the current AI Models. DeepSeek AI The Future is Here So, where does DeepSeek AI fit in amongst it all? What is DeepSeek AI? Lets begin!

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AI Weekly

AUGUST 10, 2023

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications.

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AI News

JULY 22, 2024

Predictive analytics: The heart of AI betting At the core of AI’s impact on sports betting is predictive analytics. Machine learning models, such as regression analysis, neural networks, and decision trees, are employed to analyse historical data and predict future outcomes.

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Marktechpost

SEPTEMBER 17, 2024

In deep learning, neural network optimization has long been a crucial area of focus. Training large models like transformers and convolutional networks requires significant computational resources and time. Researchers have been exploring advanced optimization techniques to make this process more efficient.

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Unite.AI

JANUARY 22, 2025

The system's intelligence stems from its neural network-based Concept Processor, which observes and learns from every interaction. As physicians document patient encounters, the AI identifies patterns in their clinical reasoning and documentation style.

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Unite.AI

NOVEMBER 6, 2023

In recent years, Generative AI has shown promising results in solving complex AI tasks. Modern AI models like ChatGPT , Bard , LLaMA , DALL-E.3 Moreover, Multimodal AI techniques have emerged, capable of processing multiple data modalities, i.e., text, images, audio, and videos simultaneously.

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Unite.AI

SEPTEMBER 18, 2024

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. Visit GPT-4o → 3.

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Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Typically, the generative AI model provides a prompt describing the desired data, and the ensuing response contains the extracted data.

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AssemblyAI

MAY 3, 2023

The problem of how to mitigate the risks and misuse of these AI models has therefore become a primary concern for all companies offering access to large language models as online services. This concept is not exclusive to natural language processing, and has also been employed in other domains.

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Unite.AI

JUNE 26, 2023

on AI consciousness. The Current State of AI: Non-conscious Entities AI today has shown remarkable advancements in specific domains. AI models are extremely good at solving narrow problems, such as image classification, natural language processing , speech recognition, etc.,

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Pickl AI

DECEMBER 29, 2024

Core areas like linear algebra, calculus, and probability empower AI models to process data, optimise solutions, and make accurate predictions. Building robust and scalable AI solutions would be impossible without a solid foundation in mathematics for Artificial Intelligence.

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Unite.AI

JUNE 5, 2024

Artificial Intelligence (AI) has seen tremendous growth, transforming industries from healthcare to finance. However, as organizations and researchers develop more advanced models, they face significant challenges due to their sheer size and computational demands.

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Unite.AI

SEPTEMBER 21, 2023

Organizations and practitioners build AI models that are specialized algorithms to perform real-world tasks such as image classification, object detection, and natural language processing. As a result, AI improves productivity, reduces human error, and facilitates data-driven decision-making for all stakeholders.

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Marktechpost

DECEMBER 16, 2023

Trained on a dataset from six UK hospitals, the system utilizes neural networks, X-Raydar and X-Raydar-NLP, for classifying common chest X-ray findings from images and their free-text reports. The researchers also developed web-based tools, allowing public access to the AI models for real-time chest x-ray interpretation.

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Unite.AI

NOVEMBER 19, 2024

NeuReality was built from inception to solve for the future cost, complexity and climate problems that would be inevitable AI inferencing – which is the deployment of trained AI models and software into production-level AI data centers. Let's focus on revolutionary AI implementation, not just AI model capability.

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Unite.AI

OCTOBER 22, 2024

From recommending products online to diagnosing medical conditions, AI is everywhere. As AI models become more complex, they demand more computational power, putting a strain on hardware and driving up costs. For example, as model parameters increase, computational demands can increase by a factor of 100 or more.

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AI Weekly

JANUARY 18, 2024

We need a careful balance of policies to tap its potential imf.org AI Ethics in the Spotlight: Examining Public Concerns in 2024 In the early days of January 2024, there were discussions surrounding Midjourney, a prominent player in the AI image-generation field.

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IBM Journey to AI blog

DECEMBER 20, 2023

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. They’re also part of a family of generative learning algorithms that model the input distribution of a given class or/category.

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Marktechpost

JULY 31, 2024

TensorFlow is a powerful open-source framework for building and deploying machine learning models. Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing, and predictive analytics.

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Marktechpost

JUNE 14, 2024

This article lists the top AI courses by Stanford that provide essential training in machine learning, deep learning, natural language processing, and other key AI technologies, making them invaluable for anyone looking to excel in the field. This beginner-friendly program, developed by DeepLearning.AI

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AWS Machine Learning Blog

MARCH 21, 2025

With Anthropics Claude, you can extract more insights from documents, process web UIs and diverse product documentation, generate image catalog metadata, and more. In this post, we explore how you can use these multi-modal generative AI models to streamline the management of technical documents. samples/2003.10304/page_2.png"

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IBM Journey to AI blog

SEPTEMBER 19, 2023

How does generative AI code generation work? Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). Training code generally comes from publicly available code produced by open-source projects.

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AssemblyAI

JANUARY 23, 2025

Unlike many natural language processing (NLP) models, which were historically dominated by recurrent neural networks (RNNs) and, more recently, transformers, wav2letter is designed entirely using convolutional neural networks (CNNs). What sets wav2letter apart is its unique architecture.

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Unite.AI

AUGUST 2, 2023

These limitations are a major issue why an average human mind is able to learn from a single type of data much more effectively when compared to an AI model that relies on separate models & training data to distinguish between an image, text, and speech. They require a high amount of computational power.

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Becoming Human

MARCH 17, 2023

pixabay.com The multimodal model is an important concept in the field of artificial intelligence that refers to the integration of multiple modes of information or sensory data to facilitate human-like reasoning and decision-making. Multimodal models have a wide range of applications in fields such as healthcare, finance, and entertainment.

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Viso.ai

DECEMBER 1, 2023

As Artificial Intelligence (AI) models become more important and widespread in almost every sector, it is increasingly important for businesses to understand how these models work and the potential implications of using them. This guide will provide an overview of AI models and their various applications.

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Marktechpost

FEBRUARY 22, 2024

In Natural Language Processing (NLP), recurrent neural networks and Transformers can learn the intricacies of language from vast amounts of unsupervised text generated by humans. Superalignment aims to align superhuman models to maximize their learning from human input.

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Towards AI

MARCH 20, 2023

Last Updated on March 20, 2023 by Editorial Team Source: Unsplash Top of the most common questions in generative AI answered TL;DR: Buckle up for an exciting ride through the world of Generative AI! What are the most popular generative AI models? What is the history and evolution of generative AI?

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Viso.ai

MAY 17, 2024

Neural Networks have changed the way we perform model training. Neural networks, sometimes referred to as Neural Nets, need large datasets for efficient training. Also, with large amounts of data, the complexity of the model increases. What is a Liquid Neural Network? About us : Viso.ai

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Marktechpost

APRIL 25, 2024

They use deep learning techniques to process and produce language in a contextually relevant manner. The development of LLMs, such as OpenAI’s GPT series, Google’s Gemini, Anthropic AI’s Claude, and Meta’s Llama models, marks a significant advancement in natural language processing.

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