Unite.AI

JANUARY 2, 2025

AI has the opportunity to significantly improve the experience for patients and providers and create systemic change that will truly improve healthcare, but making this a reality will rely on large amounts of high-quality data used to train the models. Why is data so critical for AI development in the healthcare industry?

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IBM Journey to AI blog

MAY 2, 2023

The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. We don’t need a pause to prioritize responsible AI. The stakes are simply too high, and our society deserves nothing less.

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AI News

JANUARY 13, 2025

Chris Lehane, Chief Global Affairs Officer at OpenAI , said: From the locomotive to the Colossus computer, the UK has a rich history of leadership in tech innovation and the research and development of AI. The creation of a National Data Library, designed to safely unlock the potential of public data to fuel AI innovation.

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Unite.AI

MARCH 20, 2025

Even AI-powered customer service tools can show bias, offering different levels of assistance based on a customers name or speech pattern. Lack of Transparency and Explainability Many AI models operate as “black boxes,” making their decision-making processes unclear.

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Unite.AI

JANUARY 17, 2025

Additionally, Nova Models support fine-tuning, which helps organizations customize AI behavior to meet their specific requirements while maintaining optimal performance. A key feature of Nova Models is its integration with Amazon Bedrock, a fully managed service that simplifies the deployment and management of generative AI models.

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Unite.AI

JANUARY 2, 2025

By setting a new benchmark for ethical and dependable AI , Tlu 3 ensures accountability and makes AI systems more accessible and relevant globally. The Importance of Transparency in AI Transparency is essential for ethical AI development. Tlu 3 also simplifies how AI models are evaluated.

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Unite.AI

JULY 12, 2024

Although these advancements have driven significant scientific discoveries, created new business opportunities, and led to industrial growth, they come at a high cost, especially considering the financial and environmental impacts of training these large-scale models. Financial Costs: Training generative AI models is a costly endeavour.

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ODSC - Open Data Science

NOVEMBER 22, 2024

The United States continues to dominate global AI innovation, surpassing China and other nations in key metrics such as research output, private investment, and responsible AI development, according to the latest Stanford University AI Index report on Global AI Innovation Rankings. Additionally, the U.S.

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AI News

MARCH 31, 2025

She is the co-founder of the Web Science Research Initiative, an AI Council Member and was named as one of the 100 Most Powerful Women in the UK by Woman’s Hour on BBC Radio 4. A key advocate for responsible AI governance and diversity in tech, Wendy has played a crucial role in global discussions on the future of AI.

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Marktechpost

AUGUST 9, 2024

Multimodal models are designed to make human-computer interaction more intuitive and natural, enabling machines to understand and respond to human inputs in ways that closely mirror human communication. One of the main challenges in AI development is ensuring these powerful models’ safe and ethical use.

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Unite.AI

NOVEMBER 28, 2024

How Open-Source Models and Joule Drive SAP's AI Solutions Open-source AI models have changed the field of AI by making advanced tools available to a wide community of developers. This openness helps build trust with users and businesses, who can see exactly how SAP's AI processes data and makes decisions.

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AI News

APRIL 19, 2024

The company’s 8 billion parameter pretrained model also sets new benchmarks on popular LLM evaluation tasks: “We believe these are the best open source models of their class, period,” stated Meta. Llama 3 will be available across all major cloud providers, model hosts, hardware manufacturers, and AI platforms.

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Unite.AI

MARCH 18, 2025

What are the key challenges AI teams face in sourcing large-scale public web data, and how does Bright Data address them? Scalability remains one of the biggest challenges for AI teams. Since AI models require massive amounts of data, efficient collection is no small task. This is not how things should be.

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Unite.AI

NOVEMBER 4, 2024

At the end of the day, we aim to create AI that goes beyond standard interactions, offering users a deeply engaging, emotionally intelligent experience that keeps them returning. influence the training and development of your AI models? How does the data collected from your B2C platform botify.ai

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Unite.AI

JANUARY 1, 2025

Similarly, in the United States, regulatory oversight from bodies such as the Federal Reserve and the Consumer Financial Protection Bureau (CFPB) means banks must navigate complex privacy rules when deploying AI models. A responsible approach to AI development is paramount to fully capitalize on AI, especially for banks.

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AI News

OCTOBER 22, 2024

The models are free for non-commercial use and available to businesses with annual revenues under $1 million. The company emphasised its commitment to responsible AI development, implementing safety measures from the early stages. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Towards AI

NOVEMBER 10, 2024

As we venture deeper, a fascinating paradox emerges: while AI capabilities surge forward at breakneck speed, our regulatory frameworks struggle to keep pace. Image by Me and AI, My Partner in Crime The Regulatory Catch-22 “Exponential change is coming. Suleyman isn’t just another tech executive theorizing about regulation.

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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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Unite.AI

JUNE 2, 2023

Statista reports that by 2024, the global AI market will generate a staggering revenue of around $3000 billion, compared to $126 billion in 2015. However, tech leaders are now warning us about the various risks of AI. These AI-backed developments are vulnerable due to many AI shortcomings that malicious agents can expose.

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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. and position Grok-2 as a strong competitor to other leading AI models.

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IBM Journey to AI blog

JULY 30, 2024

AI Developer / Software engineers: Provide user-interface, front-end application and scalability support. Organizations in which AI developers or software engineers are involved in the stage of developing AI use cases are much more likely to reach mature levels of AI implementation. Use watsonx.ai

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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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AWS Machine Learning Blog

NOVEMBER 19, 2024

With the growing complexity of generative AI models, organizations face challenges in maintaining compliance, mitigating risks, and upholding ethical standards. Amazon Bedrock Guardrails helps implement safeguards for generative AI applications based on specific use cases and responsible AI policies.

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Unite.AI

MARCH 22, 2024

Cross-Modality Learning : Extending social learning beyond text to include images, sounds, and more could lead to AI systems with a richer understanding of the world, much like how humans learn through multiple senses. The focus would be on developing AI systems that can reason ethically and align with societal values.

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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 6, 2023

Google’s latest venture into artificial intelligence, Gemini, represents a significant leap forward in AI technology. Unveiled as an AI model of remarkable capability, Gemini is a testament to Google’s ongoing commitment to AI-first strategies, a journey that has spanned nearly eight years.

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Marktechpost

NOVEMBER 22, 2024

It helps developers identify and fix model biases, improve model accuracy, and ensure fairness. Arize helps ensure that AI models are reliable, accurate, and unbiased, promoting ethical and responsible AI development. If you like our work, you will love our newsletter.

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Unite.AI

JANUARY 20, 2025

For example, if a healthcare provider uses AI to analyze patient data, they need airtight privacy measures that keep individual records safe while still delivering valuable insights. Instead of feeding customer data directly into AI models, use secure integrations like APIs and formal Data Processing Agreements (DPAs) to keep things in check.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. This logic sits in a hybrid search component.

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Unite.AI

JULY 3, 2024

This move comes in response to Meta's updated privacy policy , which would have allowed the company to utilize public posts, photos, and captions from its platforms for AI development. The tech giant views the regulatory action as a setback for innovation and AI development in Brazil.

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Unite.AI

JULY 1, 2024

It doesn’t matter if you are an online consumer or a business using that information to make key decisions – responsible AI systems allow all of us to fully and better understand information, as you need to ensure what is coming out of Generative AI is accurate and reliable. This is all provided at optimal cost to enterprises.

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ODSC - Open Data Science

OCTOBER 21, 2024

As AI systems become increasingly embedded in critical decision-making processes and in domains that are governed by a web of complex regulatory requirements, the need for responsible AI practices has never been more urgent. But let’s first take a look at some of the tools for ML evaluation that are popular for responsible AI.

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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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ODSC - Open Data Science

MARCH 7, 2025

remains at the forefront of AI development , Anthropics recommendations focus on six keyareas: 1. National SecurityTesting Anthropic calls for the establishment of government-led AI evaluation programs to assess both domestic and foreign AI models. To ensure the U.S.

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Unite.AI

MAY 3, 2024

As the co-founder of the research organization behind groundbreaking AI models like GPT and DALL-E, Altman's perspective holds immense significance for entrepreneurs, researchers, and anyone interested in the rapidly evolving field of AI.

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AWS Machine Learning Blog

MARCH 14, 2025

Both features rely on the same LLM-as-a-judge technology under the hood, with slight differences depending on if a model or a RAG application built with Amazon Bedrock Knowledge Bases is being evaluated. Jesse Manders is a Senior Product Manager on Amazon Bedrock, the AWS Generative AI developer service.

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AI News

AUGUST 10, 2023

The University of Oxford’s project, bolstered by £640,000, seeks to expedite research into a foundational AI model for clinical risk prediction. Scheduled for later this year, the AI safety summit will provide a platform for international stakeholders to collaboratively address AI’s risks and opportunities.

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