Unite.AI

APRIL 9, 2024

Organizations deploying AI systems must adhere to ethical guidelines and legal requirements. Transparency is fundamental for responsible AI usage. Transparent AI is not optional—it is a necessity now. Fairness and privacy are critical considerations in responsible AI deployment.

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Composite AI Explainability Explainable AI Black Box AI 182

AI Weekly

SEPTEMBER 21, 2023

pitneybowes.com In The News How Google taught AI to doubt itself Today let’s talk about an advance in Bard, Google’s answer to ChatGPT, and how it addresses one of the most pressing problems with today’s chatbots: their tendency to make things up. [Get your FREE eBook.] Get your FREE eBook.]

Robotics 264

Robotics Computer Vision Artificial Intelligence Artificial Intelligence 264

Unite.AI

FEBRUARY 7, 2024

LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code. OpenAI API, provided by OpenAI, supports the Responsible AI Framework, emphasizing ethical and responsible AI use.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

ODSC - Open Data Science

MARCH 10, 2025

By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow. Sessions on convolutional neural networks (CNNs) and recurrent neural networks (RNNs) started gaining popularity, marking the beginning of data sciences shift toward AI-driven methods.

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Data Science Neural Network Convolutional Neural Networks Large Language Models 52

Unite.AI

SEPTEMBER 18, 2024

Pro uses a Mixture-of-Experts (MoE) architecture, selectively activating the most relevant expert pathways within its neural network based on input types. xAI has not publicly detailed specific safety measures implemented in Grok-2, leading to discussions about responsible AI development and deployment.

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AI Weekly

SEPTEMBER 14, 2023

But one thing Microsoft-backed OpenAI needed for its technology was plenty of water, pulled from the watershed of the Raccoon and Des Moines rivers in central Iowa to cool a powerful supercomputer as it helped teach its AI systems how to mimic human writing.

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IBM Journey to AI blog

JANUARY 10, 2024

The category of AI algorithms includes ML algorithms, which learn and make predictions and decisions without explicit programming. AI systems, particularly complex models like deep neural networks, can be hard to control and interpret.

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Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

Marktechpost

APRIL 21, 2024

This microlearning module is perfect for those curious about how AI can generate content and innovate across various fields. Introduction to Responsible AI : This course focuses on the ethical aspects of AI technology. It introduces learners to responsible AI and explains why it is crucial in developing AI systems.

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Artificial Intelligence Artificial Intelligence BERT Large Language Models 137

Unite.AI

JULY 24, 2024

In the consumer technology sector, AI began to gain prominence with features like voice recognition and automated tasks. Over the past decade, advancements in machine learning, Natural Language Processing (NLP), and neural networks have transformed the field.

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Machine Learning NLP AI AI 223

Unite.AI

APRIL 26, 2024

All three architecture types can be extended using the mixture-of-experts (MoE) scaling technique, which sparsely activates a subset of neural network weights for each input. LLMs based on prefix decoders include GLM130B and U-PaLM. These layers introduce non-linearities and enable the model to learn more complex representations.

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Large Language Models Prompt Engineer Prompt Engineering Neural Network 277

Marktechpost

MAY 30, 2024

It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow. Introduction to Responsible AI This course explains what responsible AI is, its importance, and how Google implements it in its products. It also introduces Google’s 7 AI principles.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

Unite.AI

APRIL 3, 2024

However, this progress has significantly increased the energy demands of data centers powering these AI workloads. Extensive AI tasks have transformed data centers from mere storage and processing hubs into facilities for training neural networks , running simulations, and supporting real-time inference.

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Neural Network Natural Language Processing AI AI 147

NVIDIA

MAY 1, 2024

Gemma was developed from the same research and technology used to create the company’s Gemini models and is built for responsible AI development. 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

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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Generative AI Neural Network ChatGPT OpenAI 189

Marktechpost

JULY 31, 2024

Traditional AI models often rely heavily on massive server-based computations, leading to challenges in efficiency and latency. Current methods include various forms of transformer architectures, which are neural networks designed for processing data sequences. Check out the Paper.

Neural Network 116

Neural Network Responsible AI AI AI 116

ODSC - Open Data Science

MARCH 12, 2025

The next wave of advancements, including fine-tuned LLMs and multimodal AI, has enabled creative applications in content creation, coding assistance, and conversational agents. However, with this growth came concerns around misinformation, ethical AI usage, and data privacy, fueling discussions around responsible AI deployment.

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AWS Machine Learning Blog

MARCH 21, 2025

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices. samples/2003.10304/page_0.png'

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AWS Machine Learning Blog

NOVEMBER 26, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API.

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LLM Convolutional Neural Networks Metadata Explainability 98

Unite.AI

OCTOBER 31, 2023

By breaking down image generation into discrete steps, these models have become more tractable and easier for neural networks to learn. The company is also working on ways to differentiate AI-generated images from those made by humans, reflecting their commitment to transparency and responsible AI use.

OpenAI 264

OpenAI ChatGPT Neural Network Prompt Engineer 264

Google Research AI blog

FEBRUARY 7, 2023

Context-augmented models In the quest for higher quality and efficiency, neural models can be augmented with external context from large databases or trainable memory. The basic idea of MoEs is to construct a network from a number of expert sub-networks, where each input is processed by a suitable subset of experts.

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Deep Learning Algorithm Neural Network ML 118

Unite.AI

DECEMBER 1, 2023

As we continue to integrate AI more deeply into various sectors, the ability to interpret and understand these models becomes not just a technical necessity but a fundamental requirement for ethical and responsible AI development. The Scale and Complexity of LLMs The scale of these models adds to their complexity.

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LLM Machine Learning Explainability Algorithm 264

AssemblyAI

MAY 23, 2023

Neural Networks and Transformers What determines a language model's effectiveness? The performance of LMs in various tasks is significantly influenced by the size of their architectures, which are based on artificial neural networks. A simple artificial neural network with three layers.

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Large Language Models Neural Network LLM Chatbots 130

AWS Machine Learning Blog

OCTOBER 29, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Generative AI 106

Generative AI ML AI AI 106

Towards AI

AUGUST 8, 2024

Feedback Loops in Generative AI: How AI May Shoot Itself in the Foot by Anthony Demeusy Generative AI can enhance creativity, but beware of feedback loops! Continuous monitoring and ethical guidelines are crucial to ensure responsible AI use. Meme of the week! Check this article to know all about feedback loops.

Neural Network 111

Neural Network Metadata Explainability LLM 111

NYU Center for Data Science

SEPTEMBER 11, 2024

Ho’s innovative approach has led to several groundbreaking achievements: Her team at Carnegie Mellon University was the first to apply 3D convolutional neural networks in astrophysics. Ho will continue her groundbreaking work in applying AI to cosmology and astrophysics.

Convolutional Neural Networks 71

Convolutional Neural Networks Neural Network Deep Learning Data Science 71

ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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Responsible AI Data Science Deep Learning Machine Learning 52

Google Research AI blog

FEBRUARY 10, 2023

We also had a number of interesting results on graph neural networks (GNN) in 2022. Furthermore, to bring some of these many advances to the broader community, we had three releases of our flagship modeling library for building graph neural networks in TensorFlow (TF-GNN).

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Algorithm Neural Network Auto-classification ML 110

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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AI Developer AI Development Robotics Neural Network 143

Marktechpost

OCTOBER 14, 2024

raising widespread concerns about privacy threats of Deep Neural Networks (DNNs). Additionally, setting up access controls and limiting how often each user can access the data is important for building responsible AI systems, and reducing potential conflicts with people’s private data. Check out the Paper.

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Categorization Neural Network Inference Engine Deep Learning 104

IBM Journey to AI blog

AUGUST 16, 2023

However, the terms of service for ChatGPT explicitly state that it cannot be used in the development of other AI systems. Enhanced trustworthiness with IBM watsonx Relating back to our smoothie story, public ChatGPT utilizes your prompt data to enhance its neural network, like how the apple adds flavor to the smoothie.

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ChatGPT Chatbots Natural Language Processing AI Chatbots 170

IBM Journey to AI blog

SEPTEMBER 3, 2024

The tool uses deep neural network models to spot fake AI audio in videos playing in your browser. ” eBook: AI governance for the enterprise The post Tools for trustworthy AI appeared first on IBM Blog. Until that standard is set, businesses are building tools they hope can fill the gap.

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AI AI LLM Algorithm 136

Becoming Human

APRIL 19, 2024

Transparency and Explainability Transparency in AI systems is crucial for building trust among users and stakeholders. Consultants must bridge this knowledge gap by providing education and training on ethical considerations in AI. Ethical leadership fosters a commitment to responsible AI consulting at all levels of the organization.

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AI AI Responsible AI Artificial Intelligence 102

Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. They work on complex problems that require advanced neural networks to analyse vast amounts of data. Hyperparameter Tuning: Adjusting model parameters to improve performance and accuracy.

Deep Learning 52

Deep Learning Neural Network Machine Learning Natural Language Processing 52

AWS Machine Learning Blog

FEBRUARY 25, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots 71

Chatbots Categorization LLM Algorithm 71

AWS Machine Learning Blog

JUNE 18, 2024

Traditional neural network models like RNNs and LSTMs and more modern transformer-based models like BERT for NER require costly fine-tuning on labeled data for every custom entity type. This makes adopting and scaling these approaches burdensome for many applications.

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Large Language Models Natural Language Processing LLM Computer Vision 121

Viso.ai

DECEMBER 20, 2023

It accelerates AI research and prototype development. The integrated approach promotes collaboration, innovation, and responsible AI practices with deep learning algorithms. The Computational Graph is a dynamic and versatile representation of neural network operations. Computational Graph. Operators and Kernels.

Deep Learning 52

Deep Learning Neural Network Computer Vision Natural Language Processing 52

Dlabs.ai

MARCH 17, 2021

He focuses his efforts on understanding and developing new ideas around machine learning, neural networks, and reinforcement learning. Now, it’s hard to believe that his interest in AI started through playing video games. He’s a Principal Scientist at Google DeepMind and Team Lead of the Deep Learning group.

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