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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Large Language Models AI AI Artificial Intelligence 297

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.

AI Modeling 123

AI Modeling Large Language Models AI AI 123

NVIDIA

MARCH 1, 2024

Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change. What Is Trustworthy AI? Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it.

AI 136

AI AI AI Modeling Algorithm 136

Marktechpost

APRIL 18, 2024

Meta has revealed its latest large language model, the Meta Llama 3, which is a major breakthrough in the field of AI. This new model is not just an incremental update, but it represents a significant leap in capabilities and accessibility, setting a new benchmark for open-source AI models.

Large Language Models 120

Large Language Models Artificial Intelligence Artificial Intelligence AI 120

Marktechpost

MARCH 20, 2024

CLMs’ performance on industry benchmarks also sets a new standard for evaluating AI models, pushing for advancements that could make AI more intuitive and human-like in its understanding and generation of language. and the Contextual Language Models it enables mark a significant milestone in the journey of AI development.

Artificial Intelligence 109

Artificial Intelligence Artificial Intelligence AI AI 109

Marktechpost

MAY 6, 2024

With Meta Llama 3 models setting new standards in the field, the transition to Llama 3 signifies a significant turning point in AI development. These models, which have 8B and 70B parameters, exhibit great results on a variety of industrial benchmarks and are supported by enhanced reasoning powers.

Large Language Models 115

Large Language Models Natural Language Processing NLP Responsible AI 115

Marktechpost

MARCH 17, 2024

Artificial intelligence (AI) is quickly changing our lives and careers, from chatbots communicating with consumers to algorithms suggesting your next movie. A great deal of responsibility, however, is associated with this power. Even the most advanced AI models are susceptible to biases, security flaws, and unforeseen outcomes.

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AI Researcher AI Research LLM Artificial Intelligence 57

Marktechpost

JANUARY 7, 2024

The concept of AI hallucinations raises discussions about the quality and scope of data used in training AI models and the ethical, social, and practical concerns they may pose. Essentially, if the underlying data or the methods used for training and generation are flawed, AI models may produce incorrect predictions.

Large Language Models 126

Large Language Models AI AI AI Modeling 126

NYU Center for Data Science

JANUARY 3, 2024

We wanted to develop a framework for understanding the toxicity of language that would take into account more than just what’s shown explicitly in the text,” Gabriel explains. This focus on the implicit meanings and the social context of language in AI models is crucial in an era where digital communication is omnipresent.

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Responsible AI Data Science Artificial Intelligence Artificial Intelligence 77

Marktechpost

NOVEMBER 23, 2023

This technical prowess positions Leonardo as a crucial asset for advancing AI applications across Europe​​. REAL AI’s unique opportunity- “We aim to provide Europe’s answer to responsible AI development. Together with UNINA and AI supercomputer cluster ‘Leonardo’, we can make this possible”.

Large Language Models 112

Large Language Models LLM AI AI 112

Unite.AI

APRIL 30, 2024

AI models, particularly chatbots, learn from interactions through various learning paradigms, for example: In supervised learning , chatbots learn from labeled examples, such as historical conversations, to map inputs to outputs.

Chatbots 204

Chatbots Neural Network BERT OpenAI 204

Marktechpost

NOVEMBER 15, 2023

This helps avoid copyright-related problems and lays the foundation for responsible AI development. Additionally, the “Royalties” principle emphasizes fair compensation for creators, with Shutterstock pledging to compensate artists through royalty funds for the use of their work in training AI models.

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Responsible AI AI AI Algorithm 85

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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Robotics Big Data AI AI 154

ODSC - Open Data Science

FEBRUARY 20, 2024

This program also ensures that any data scraped and used for training AI models becomes inaccurate or misleading, thus protecting the original content’s integrity and the privacy of its creators. So what goes in, isn’t exactly what the model uses which provides a good level of protection of personal data.

Data Science 52

Data Science Large Language Models AI AI 52

Pickl AI

APRIL 26, 2024

This can lead to discriminatory outcomes, for example, an AI-powered hiring tool trained on historical data might perpetuate existing biases against certain demographics. Ensuring fairness and mitigating bias in AI development is crucial. To reap the benefits and mitigate the risks, we must approach AI development responsibly.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Automation AI Developer 52

IBM Journey to AI blog

AUGUST 16, 2023

These include security and data leakage, confidentiality and liability concerns, intellectual property complexities, compliance with open-source licenses, limitations on AI development, and uncertain privacy and compliance with international laws. They also govern the models and data, addressing ongoing drift and bias concerns.

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ChatGPT Chatbots Natural Language Processing AI Chatbots 144

Allen AI

JULY 27, 2023

The AI2 ImpACT License Project: Open, Responsible AI Licenses for the Common Good A new way to think about AI licensing By Jen Dumas, Crystal Nam, Will Smith, David Atkinson, and Nicole DeCario AI Is Everywhere; What Are the Risks? We welcome your feedback on this initiative: please reach us at ai2impact@allenai.org.

Responsible AI 52

Responsible AI AI AI AI Developer 52

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

Towards AI

APRIL 1, 2023

Last Updated on April 1, 2023 by Editorial Team Author(s): Mary Reagan PhD Originally published on Towards AI. Part 2: Responsible AI Recommendations for ML Practitioners and Policy Makers By Mary Reagan and Krishnaram Kenthapadi This is a follow-up to my part 1 on ChatGPT.

Generative AI 52

Generative AI Responsible AI Large Language Models Chatbots 52

AWS Machine Learning Blog

MAY 9, 2024

Governance Establish governance that enables the organization to scale value delivery from AI/ML initiatives while managing risk, compliance, and security. Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI.

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ML Generative AI AI AI 106

IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

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Metadata Explainability Automation AI 193

Allen AI

FEBRUARY 1, 2024

As the world races to deploy AI models that are effective and safe, the demand for Open Large Language Models (LLMs) has exploded. The massive adoption of both open and closed AI models means that AI capabilities have leapfrogged our ability to understand how they are created.

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LLM Large Language Models AI Researcher AI Research 76

Towards AI

AUGUST 22, 2023

This is consistent with the company’s strategy so far of releasing widely available AI software that makes developing new customizable AI models much easier. This could potentially lead to a decrease in the number of companies procuring licenses for OpenAI models to fulfill similar use cases.

LLM 84

LLM AI AI OpenAI 84

Marktechpost

JANUARY 16, 2024

As these models gain more autonomy and are increasingly merged into various aspects of daily life, the concern for their ethical and safe interaction with users intensifies. The challenge lies in ensuring these AI models provide accurate, fair, and unbiased information while safeguarding privacy and adhering to ethical standards.

LLM 88

LLM Large Language Models Natural Language Processing Artificial Intelligence 88

Pickl AI

JUNE 23, 2023

The Importance of Data-Centric Architecture Data-centric architecture is an approach that places data at the core of AI systems. At the same time, it emphasizes the collection, storage, and processing of high-quality data to drive accurate and reliable AI models. How Does Data-Centric AI Work?

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

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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Composite AI Explainability Black Box AI Explainable AI 182

Viso.ai

DECEMBER 18, 2023

Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications. An example is a privacy-preserving solution for developing healthcare AI models. This allows for: Developing Robust and Generalizable AI Models. Rapid AI Development.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Pickl AI

JULY 18, 2023

AI Architect: While AI Engineers and AI Architects are both involved in the development of AI systems, there are notable distinctions between their roles. AI Engineers focus primarily on implementing and deploying AI models and algorithms, working closely with data scientists and machine learning experts.

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AI Architect AI Engineer Machine Learning Artificial Intelligence 52

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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Artificial Intelligence Artificial Intelligence AI Modeling AI 119

ODSC - Open Data Science

MARCH 11, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. And the best place to do that is at ODSC East this April 23rd to 25th !

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Neural Network Robotics Data Science Algorithm 52

John Snow Labs

OCTOBER 19, 2023

Imagine asking your AI assistant about a contentious political issue, and it effortlessly mirrors your beliefs, regardless of the facts. It’s a phenomenon called sycophancy , and it’s a thorn in the side of AI development. AI models, like chameleons, adapt to user opinions, even if it means agreeing with the absurd.

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LLM NLP Large Language Models Categorization 52

John Snow Labs

OCTOBER 19, 2023

Without bias, these models would struggle to understand and interpret complex language patterns, hindering their ability to provide accurate insights and predictions. This happens when AI models generalize from biased data and make incorrect or harmful assumptions.

NLP 52

NLP Natural Language Processing AI AI 52

Snorkel AI

JUNE 7, 2023

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. Mann’s formal education in machine learning, he said, came during a time when you optimized a model against a test set.

Data Scientist 52

Data Scientist Large Language Models Machine Learning AI 52

Snorkel AI

JUNE 7, 2023

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. Mann’s formal education in machine learning, he said, came during a time when you optimized a model against a test set.

Data Scientist 52

Data Scientist Large Language Models Machine Learning AI 52

ODSC - Open Data Science

OCTOBER 9, 2023

Microsoft Azure One of the giants of the cloud computing realm, Microsoft Azure offers a comprehensive suite of AI and machine learning services that are easy to use, scalable, and backed by Microsoft’s commitment to responsible AI. There are a multitude of companies that are looking to help shape the future of AI.

AI Developer 52

AI Developer AI Development Machine Learning Data Science 52

Unite.AI

JANUARY 12, 2024

These innovations signal a shifting priority towards multimodal, versatile generative models. Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development.

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Generative AI Neural Network AI AI 189

AWS Machine Learning Blog

JANUARY 26, 2024

If you further automatically fine-tune a model based on user feedback (or other end-user-controllable information), you must consider if a malicious threat actor could change the model arbitrarily based on manipulating their responses and achieve training data poisoning.

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