Unite.AI

OCTOBER 4, 2023

In this article, we’ll look at what AI bias is, how it impacts our society, and briefly discuss how practitioners can mitigate it to address challenges like cultural stereotypes. What is AI Bias? AI bias occurs when AI models produce discriminatory results against certain demographics.

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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. Some experts point out, for example, that we had the problem of misinformation even before AI existed in its current form.

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AI News

APRIL 24, 2024

. “What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the ability to make a decision on what is the best model for their scenario,” said Sonali Yadav, Principal Product Manager for Generative AI at Microsoft.

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AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. In addition, editorial guidance on AI has been updated to note that ‘all AI usage has active human oversight.’

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AI News

APRIL 19, 2024

Victor Botev, CTO and co-founder of Iris.ai, said: “With the global shift towards AI regulation, the launch of Meta’s Llama 3 model is notable. By embracing transparency through open-sourcing, Meta aligns with the growing emphasis on responsible AI practices and ethical development.

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Marktechpost

DECEMBER 12, 2023

They propose distinct guidelines for labeling LLM output (responses from the AI model) and human requests (input to the LLM). Thus, the semantic difference between the user and agent responsibilities can be captured by Llama Guard. They’ve also launched Purple Llama.

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IBM Journey to AI blog

MAY 9, 2023

A lack of confidence to operationalize AI Many organizations struggle when adopting AI. According to Gartner , 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted. Ready to explore more?

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AI News

FEBRUARY 23, 2024

London-based AI lab Stability AI has announced an early preview of its new text-to-image model, Stable Diffusion 3. The advanced generative AI model aims to create high-quality images from text prompts with improved performance across several key areas. We believe in safe, responsible AI practices.

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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

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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IBM Journey to AI blog

OCTOBER 2, 2023

The organization sought to explore a test case for job seekers, examining if AI models could help learners and workers identify and recognize their skills, and convey them in the form of digital credentials. Learn more about IBM’s AI ethics Explore more about IBM Consulting’s AI capabilities The post The U.S.

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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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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.

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Unite.AI

APRIL 3, 2024

Their extraordinary parallel processing power ensures exceptional speed when training AI models on large datasets. Additionally, GPUs are adept at executing matrix operations, a fundamental requirement for many AI algorithms due to their optimized architecture for parallel matrix computations.

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Unite.AI

DECEMBER 13, 2023

AI transforms cybersecurity by boosting defense and offense. However, challenges include the rise of AI-driven attacks and privacy issues. Responsible AI use is crucial. The future involves human-AI collaboration to tackle evolving trends and threats in 2024.

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Marktechpost

APRIL 17, 2024

Sonnet is twice as fast as its predecessors, while Haiku is the fastest and most compact model available, offering cost-effective solutions without compromising performance. What sets these models apart is their advanced intelligence, demonstrating near-human responsiveness and improved accuracy over prior generations.

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Marktechpost

APRIL 8, 2024

These new versions represent a significant advancement, particularly in the area of Large Language Models (LLMs) and their practical applicability. is considered a significant advancement and achievement in the field of open-source AI models. Functionary 2.4 MeetKai, the developer of Functionary 2.4,

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Marktechpost

MAY 6, 2024

represents the state-of-the-art advances in NLP and establishes standards for future work on open-source AI models, entering in a new era of conversational QA and retrieval-augmented generation. The Llama project is expected to spur responsible AI adoption across various areas and boost innovation as it develops.

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IBM Journey to AI blog

FEBRUARY 22, 2024

Further, according to the IBM Institute of Business Value , 79% of executives say AI ethics is important to their enterprise-wide AI approach, yet less than 25% have operationalized common principles of AI ethics. Earning trust in the outputs of AI models is a sociotechnical challenge that requires a sociotechnical solution.

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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.

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Unite.AI

JULY 3, 2023

What is the Cranium AI Card and what key insights does it reveal ? The Cranium AI Card allows organizations to efficiently gather and share information about the trustworthiness and compliance of their AI models with both clients and regulators and gain visibility into the security of their vendors’ AI systems.

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NVIDIA

MARCH 1, 2024

Developers of trustworthy AI understand that no model is perfect, and take steps to help customers and the general public understand how the technology was built, its intended use cases and its limitations.

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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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Marktechpost

DECEMBER 22, 2023

In a recent move, Microsoft’s Azure AI platform has expanded its range by introducing two advanced AI models, Llama 2 and GPT-4 Turbo with Vision. This addition marks a significant expansion in the platform’s AI capabilities.

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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. have profound implications for businesses and the AI research community. Contextual AI’s RAG 2.0

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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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Unite.AI

JULY 11, 2023

Covers Google tools for creating your own Generative AI apps. You’ll also learn about the Generative AI model types: unimodal or multimodal, in this course. Introduction to Large Language Models Image Source Course difficulty: Beginner-level Completion time: ~ 45 minutes Prerequisites: No What will AI enthusiasts learn?

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ODSC - Open Data Science

APRIL 1, 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.

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John Snow Labs

SEPTEMBER 5, 2023

Topics Covered Include Large Language Models, Semantic Search, ChatBots, Responsible AI, and the Real-World Projects that Put Them to Work John Snow Labs , the healthcare AI and NLP company and developer of the Spark NLP library, today announced the agenda for its annual NLP Summit, taking place virtually October 3-5.

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Flipboard

AUGUST 6, 2023

The tool connects Jupyter with large language models (LLMs) from various providers, including AI21, Anthropic, AWS, Cohere, and OpenAI, supported by LangChain. Designed with responsible AI and data privacy in mind, Jupyter AI empowers users to choose their preferred LLM, embedding model, and vector database to suit their specific needs.

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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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ODSC - Open Data Science

AUGUST 29, 2023

Since OpenAI’s ChatGPT kicked down the door and brought large language models into the public imagination, being able to fully utilize these AI models has quickly become a much sought-after skill. With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must.

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Unite.AI

JANUARY 17, 2024

Titled “2024 AI & ML Report: Evolution of Models & Solutions,” the survey conducted by Aporia points to a growing trend of hallucinations and biases within generative AI and large language models (LLMs), signaling a crucial challenge for an industry rapidly advancing towards maturity.

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ODSC - Open Data Science

JUNE 27, 2023

Who Are AI Builders, AI Users, and Other Key Players? AI Builders AI builders are the data scientists, data engineers, and developers who design AI models. The goals and priorities of responsible AI builders are to design trustworthy, explainable, and human-centered AI.

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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.

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IBM Journey to AI blog

FEBRUARY 8, 2023

Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 Achieving Responsible AI As building and scaling AI models for your organization becomes more business critical, achieving Responsible AI (RAI) should be considered a highly relevant topic.

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ODSC - Open Data Science

FEBRUARY 20, 2024

Nightshade: A New Frontier in Data Protection Nightshade is an interesting tool that is designed to combat the use of text-based data by generative AI through what is called data poisoning. So what goes in, isn’t exactly what the model uses which provides a good level of protection of personal data.

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