Unite.AI

MAY 30, 2024

From powering recommendation algorithms on streaming platforms to enabling autonomous vehicles and enhancing medical diagnostics, AI's ability to analyze vast amounts of data, recognize patterns, and make informed decisions has transformed fields like healthcare, finance, retail, and manufacturing.

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Unite.AI

OCTOBER 24, 2024

The rapid rise of Artificial Intelligence (AI) has transformed numerous sectors, from healthcare and finance to energy management and beyond. However, this growth in AI adoption has resulted in a significant issue of energy consumption. This unique methodology makes them easier to interpret and significantly reduces energy consumption.

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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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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. 32-bit floats) for model weights and low precision (e.g.,

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NVIDIA

APRIL 2, 2025

The goal for AI factories is simple: deliver accurate answers to queries quickly, at the lowest cost and to as many users as possible. As AI models grow to billions and trillions of parameters to deliver smarter replies, the compute required to generate each token increases. Learn more about MLPerf.

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Unite.AI

JANUARY 9, 2024

The rapid advances in generative AI have sparked excitement about the technology's creative potential. Yet these powerful models also pose concerning risks around reproducing copyrighted or plagiarized content without proper attribution. are more prone to regenerating verbatim text passages compared to smaller models.

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Unite.AI

DECEMBER 9, 2024

Unlike previous approaches that treated all words equally, cDPO recognizes that in the realm of AI reasoning, not all words carry equal weight. The research team demonstrated this through extensive testing across multiple AI models, including Llama-3 and DeepSeek-math. The results speak for themselves.

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Unite.AI

MARCH 8, 2024

Tiny AI operates discreetly within our devices, orchestrating smart homes and propelling advancements in personalized medicine. Tiny AI excels in efficiency, adaptability, and impact by utilizing compact neural networks , streamlined algorithms, and edge computing capabilities.

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Unite.AI

NOVEMBER 14, 2024

How much human input is required to maintain accuracy and nuance in translation, and how do you balance that with the computational aspects of AI development? Any organization considering AI tools should always ask these questions when evaluating models and companies.

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TheSequence

MARCH 6, 2025

As AI models become more complex and safety-critical, the question arises—are existing languages adequate, or do we need AI-specific programming languages? The discussion extends to theoretical frameworks such as category theory and dependent types and evaluates emerging AI-focused languages like Julia and Mojo.

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Unite.AI

JULY 18, 2024

Imagine working with an AI model that runs smoothly on one processor but struggles on another due to these differences. For developers and researchers, this means navigating complex problems to ensure their AI solutions are efficient and scalable on all types of hardware.

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NVIDIA

JANUARY 6, 2025

As a result, were able to render at incredibly high performance, because AI does a lot less computation. RTX Neural Shaders use small neural networks to improve textures, materials and lighting in real-time gameplay. These models offered as NVIDIA NIM microservices are accelerated by the new GeForce RTX 50 Series GPUs.

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BAIR

FEBRUARY 17, 2024

This shift to compound systems opens many interesting design questions, but it is also exciting, because it means leading AI results can be achieved through clever engineering, not just scaling up training. In this post, we analyze the trend toward compound AI systems and what it means for AI developers.

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AI Weekly

JULY 20, 2023

vox.com ChatGPT Out-scores Medical Students on Complex Clinical Care Exam Questions A new study shows AI's capabilities at analyzing medical text and offering diagnoses — and forces a rethink of medical education. techtarget.com Applied use cases AI love: It's complicated Movies have hinted at humans falling for their AI chatbots.

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Unite.AI

SEPTEMBER 18, 2024

OpenAI, the pioneer behind the GPT series, has just unveiled a new series of AI models, dubbed o1 , that can “think” longer before they respond. The model is developed to handle more complex tasks, particularly in science, coding, and mathematics.

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Unite.AI

APRIL 30, 2024

It includes deciphering neural network layers , feature extraction methods, and decision-making pathways. These AI systems directly engage with users, making it essential for them to adapt and improve based on user interactions. These systems rely heavily on neural networks to process vast amounts of information.

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Unite.AI

DECEMBER 9, 2024

Models that once struggled with basic tasks now excel at solving math problems, generating code, and answering complex questions. Central to this progress is the concept of scaling laws rules that explain how AI models improve as they grow, are trained on more data, or are powered by greater computational resources.

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NVIDIA

JANUARY 6, 2025

NVIDIA Cosmos , a platform for accelerating physical AI development, introduces a family of world foundation models neural networks that can predict and generate physics-aware videos of the future state of a virtual environment to help developers build next-generation robots and autonomous vehicles (AVs).

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Towards AI

DECEMBER 16, 2024

Kernel Arnold Networks (KAN) Summary: Kernel Arnold Networks (KAN) propose a new way of representing and processing data, challenging traditional deep neural networks. Key Contributions: Frameworks for fairness in multi-modal AI. Techniques for adversarial robustness.

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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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NVIDIA

MAY 1, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. ChatRTX also now supports ChatGLM3, an open, bilingual (English and Chinese) LLM based on the general language model framework.

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Unite.AI

JULY 25, 2023

Production-deployed AI models need a robust and continuous performance evaluation mechanism. This is where an AI feedback loop can be applied to ensure consistent model performance. But, with the meteoric rise of Generative AI , AI model training has become anomalous and error-prone.

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Unite.AI

OCTOBER 22, 2024

From recommending products online to diagnosing medical conditions, AI is everywhere. However, there is a growing problem of efficiency that researchers and developers are working hard to solve. As AI models become more complex, they demand more computational power, putting a strain on hardware and driving up costs.

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IBM Journey to AI blog

APRIL 4, 2023

For years IBM has been using cutting-edge AI to improve the digital experiences found in the Masters app. We taught an AI model to analyze Masters video and produce highlight reels for every player, minutes after their round is complete. We built models that generate scoring predictions for every player on every hole.

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Unite.AI

SEPTEMBER 18, 2024

Continuous Monitoring: Anthropic maintains ongoing safety monitoring, with Claude 3 achieving an AI Safety Level 2 rating. Responsible Development: The company remains committed to advancing safety and neutrality in AI development. Responsible Use Guide: Offers guidelines for ethical deployment and use of the models.

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IBM Journey to AI blog

DECEMBER 4, 2023

The surge in adoption of generative AI is happening in organizations across every industry, and the generative AI market is projected to grow by 27.02% in the next 10 years according to Precedence Research. Evaluating the performance of generative AI models ensures that they meet desired standards and can provide reliable outputs.

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Unite.AI

JULY 25, 2024

According to MarketsandMarkets , the AI market is projected to grow from USD 214.6 One new advancement in this field is multilingual AI models. Integrated with Google Cloud's Vertex AI , Llama 3.1 offers developers and businesses a powerful tool for multilingual communication. billion in 2024 to USD 1339.1

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Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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Marktechpost

DECEMBER 16, 2023

Researchers aim to reduce the energy consumption that can be removed without throughput loss in large language model training. Balancing every stage is impossible as Deep Neural Networks(DNN) are coarse-grained tensor operations with varying amounts of computation. Check out the Paper.

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Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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IBM Journey to AI blog

JANUARY 10, 2024

But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods. AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended.

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NVIDIA

MARCH 18, 2024

At its booth, NVIDIA will showcase how it’s building automotive assistants to enhance driver safety, security and comfort through enhanced perception, understanding and generative capabilities powered by deep learning and transformer models.

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NVIDIA

FEBRUARY 11, 2025

Like the prolific jazz trumpeter and composer, researchers have been generating AI models at a feverish pace, exploring new architectures and use cases. No Labels, Lots of Opportunity Foundation models generally learn from unlabeled datasets, saving the time and expense of manually describing each item in massive collections.

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Flipboard

JULY 28, 2023

Zuckerberg also made the case for why it’s better for leading AI models to be “open source,” which means making the technology’s underlying code largely available for anyone to use. Open source drives innovation because it enables many more developers to build with new technology,” wrote Zuckerberg wrote in a separate Facebook post.

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Unite.AI

SEPTEMBER 18, 2023

NLP is headed towards near perfection, and the final step of NLP is processing text transformations that can make computers understandable, and recent models like ChatGPT built on GPT-4 indicated that the research is headed towards the right direction.

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Flipboard

MARCH 18, 2025

Its been gradual, but generative AI models and the apps they power have begun to measurably deliver returns for businesses. Organizations across many industries believe their employees are more productive and efficient with AI tools such as chatbots and coding assistants at their side.

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IBM Journey to AI blog

APRIL 18, 2024

Most experts categorize it as a powerful, but narrow AI model. Current AI advancements demonstrate impressive capabilities in specific areas. A key trend is the adoption of multiple models in production. This multi-model approach uses multiple AI models together to combine their strengths and improve the overall output.

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