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.

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Unite.AI

SEPTEMBER 7, 2023

From spreading misinformation to facilitating unauthorized access, the fallout from these vulnerabilities underscores the critical need for responsible AI development. Developers, researchers, and policymakers must collaborate to establish robust safeguards against potential harm. Want to enhance your AI IQ?

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IBM Journey to AI blog

AUGUST 16, 2023

While ChatGPT has gained significant attention and popularity, it faces competition from other AI-powered chatbots and natural language processing (NLP) systems. Google, for example, has developed Bard , its AI chatbot, which is powered by its own language engine called PaLM 2.

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Allen AI

FEBRUARY 1, 2024

The framework features a suite of completely open AI development tools, including: Full pretraining data : The model is built on AI2’s Dolma set which features three trillion token open corpus for language model pretraining, including code that produces the training data.

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ODSC - Open Data Science

MARCH 24, 2023

Creating a Custom Vocabulary for NLP tasks Using exBERT and spaCY There are several approaches to adding custom terms to a vocabulary for NLP, but in this tutorial, we’ll focus on exBERT and spaCY tokenizer. Officially Released PyTorch 2.0 Register by Friday for 50% off.

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IBM Journey to AI blog

OCTOBER 16, 2023

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. Open-source projects, academic institutions, startups and legacy tech companies all contributed to the development of foundation models.

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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. Sound familiar? But fret not, for this blog post unveils a powerful antidote to this frustrating issue.

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Unite.AI

APRIL 9, 2024

These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Composite AI plays a pivotal role in enhancing interpretability and transparency. Combining diverse AI techniques enables human-like decision-making.

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Snorkel AI

FEBRUARY 22, 2023

At Snorkel AI’s 2022 Future of Data-Centric AI virtual conference, Eisenberg gave a short presentation on the way he and his colleagues are working to operationalize the assessment of responsible AI systems using a Credo AI tool called Lens. My name is Ian Eisenberg, and I head the data science team at Credo AI.

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Snorkel AI

FEBRUARY 22, 2023

At Snorkel AI’s 2022 Future of Data-Centric AI virtual conference, Eisenberg gave a short presentation on the way he and his colleagues are working to operationalize the assessment of responsible AI systems using a Credo AI tool called Lens. My name is Ian Eisenberg, and I head the data science team at Credo AI.

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Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks. While effective in various NLP tasks, few LLMs, such as Flan-T5, adopt this architecture.

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Viso.ai

DECEMBER 18, 2023

Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications. Applications of Synthetic Data in Artificial Intelligence and Machine Learning Synthetic data can train and test models for computer vision (CV), natural language processing (NLP), speech recognition, and more.

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John Snow Labs

AUGUST 28, 2023

John Snow Labs developed LangTest to address biases in language models. We introduce an end-to-end NLP pipeline, which involves training, evaluating, testing for biases, augmenting the dataset, retraining, and comparing models. The library provides comprehensive tests to detect biases in language models.

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AWS Machine Learning Blog

JANUARY 26, 2024

Security organizations can support a culture of responsible disclosure and iterative improvement by participating in discussions and bringing new ideas and information to generative AI stakeholders that relate to their business objectives.

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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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Chatbots Life

APRIL 19, 2024

They are followed by marketing and sales (42%), and customer service (40%); 64% expect it to confer a competitive advantage; By 2026, companies focusing on responsible AI could enhance business goal achievement and user acceptance by 50% ; Artificial intelligence disruption may increase global labor productivity by 1.5%-3.0%

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ODSC - Open Data Science

MARCH 5, 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. Secondly, governments are investing in building their own internal AI capabilities.

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AWS Machine Learning Blog

MARCH 14, 2024

Amazon Kendra uses natural language processing (NLP) to understand user queries and find the most relevant documents. The relevant information is then provided to the LLM for final response generation. Development: Getting the data ready As with any data-driven project, performance will only ever be as good as the data.

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Viso.ai

DECEMBER 20, 2023

The integrated approach promotes collaboration, innovation, and responsible AI practices with deep learning algorithms. Today, MindSpore is widely used for research and prototyping projects across ML Vision, NLP, and Audio tasks. Thus, allowing for collaboration between domain experts and AI developers.

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Topbots

DECEMBER 19, 2023

Presenters from various spheres of AI research shared their latest achievements, offering a window into cutting-edge AI developments. In this article, we delve into these talks, extracting and discussing the key takeaways and learnings, which are essential for understanding the current and future landscapes of AI innovation.

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ODSC - Open Data Science

FEBRUARY 29, 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. So get your pass today and see for yourself how AI will shape our future.

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Viso.ai

DECEMBER 4, 2023

And, in 2020, other executives exited to found Anthropic, a competitor focusing on AI safety. OpenAI is the industry leader for Natural Language Processing (NLP) tools, machine learning models , and AI computer programs. These individuals will be the advocates for responsible and cautious approaches.

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ODSC - Open Data Science

JANUARY 11, 2024

The EU Unveils “The AI Act” — First AI-Focused Legislative Proposal by a Major Regulator At the start of 2023, the European Union unveiled a first-of-its-kind set of regulations aimed at artificial intelligence, which was named the AI Act. Databricks Introduces Dolly 2.0:

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Bugra Akyildiz

FEBRUARY 24, 2024

Increased Democratization: Smaller models like Phi-2 reduce barriers to entry, allowing more developers and researchers to explore the power of large language models. Responsible AI Development: Phi-2 highlights the importance of considering responsible development practices when building large language models.

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Dlabs.ai

DECEMBER 6, 2022

launched an initiative called ‘ AI 4 Good ‘ to make the world a better place with the help of responsible AI. Moreover, they develop clients’ projects and share their knowledge during in-house events, including the iMerit ML DataOps Summit or Women in Tech.

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