Unite.AI

JULY 9, 2024

Researchers can peer review the models, identify potential biases, and suggest improvements, leading to more robust and ethical AI systems. This openness also facilitates reproducibility in AI research, a critical factor for scientific progress. The Qwen-1.8B and LLaMA2-70B across various benchmarks.

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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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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.

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Marktechpost

SEPTEMBER 18, 2024

This development has generated significant excitement in the AI community, as it promises to enhance the performance of AI systems, improve accessibility to cutting-edge models, and offer new possibilities for natural language processing tasks. Check out the Model Card.

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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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Marktechpost

SEPTEMBER 23, 2024

OpenAI’s Commitment to Responsible AI Development The MMMLU dataset also reflects OpenAI’s broader commitment to transparency, accessibility, and fairness in AI research. By releasing the dataset on Hugging Face, OpenAI ensures it is available to the wider research community. Check out the Dataset.

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Marktechpost

SEPTEMBER 3, 2024

Key Features and Capabilities of miniG One of the most remarkable aspects of miniG is its ability to perform complex language tasks with impressive accuracy. It excels in natural language processing (NLP) tasks such as text generation, sentiment analysis, translation, and summarization.

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ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. As LLMs become integral to AI applications, ethical considerations take center stage.

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NYU Center for Data Science

DECEMBER 12, 2023

The Center for Responsible AI (NYU R/AI) is leading this charge by embedding ethical considerations into the fabric of artificial intelligence research and development. The Center for Responsible AI is a testament to NYU’s commitment to pioneering research that upholds and advances these ideals.

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Topbots

DECEMBER 5, 2023

Generated with DALL-E 3 In the rapidly evolving landscape of Natural Language Processing, 2023 emerged as a pivotal year, witnessing groundbreaking research in the realm of Large Language Models (LLMs). Where to learn more about this research? Sign up for more AI research updates.

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Marktechpost

JULY 4, 2023

For example, an AI system skilled in identifying images of cats might classify all black-and-white images as cats, leading to imprecise results. Encouraging responsible AI: Prompt engineering can help AI systems have conclusions that bring human values and ethical principles into line.

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ODSC - Open Data Science

FEBRUARY 29, 2024

If you’re curious, here are eight AI research labs that are leading the way in AI research that you’d want to keep an eye on. From responsible AI to protein discovery and more, The MIT Media Lab aims to drive AI research to create a “transformative future” while working toward the social good.

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Towards AI

FEBRUARY 14, 2023

Cohere, a startup that specializes in natural language processing, has developed a reputation for creating sophisticated applications that can generate natural language with great accuracy. OpenAI, on the other hand, is an AI research laboratory that was founded in 2015.

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Marktechpost

DECEMBER 12, 2023

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. All credit for this research goes to the researchers of this project.

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Marktechpost

DECEMBER 12, 2024

Initially, it extracts facets from conversations, such as topics, languages, and interaction types, using advanced natural language processing (NLP) models. Clios ability to highlight usage patterns, address risks, and enhance safety contributes meaningfully to the broader discourse on responsible AI use.

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Marktechpost

DECEMBER 4, 2024

Also, AI2’s involvement in the National Artificial Intelligence Research Resource (NAIRR) Pilot reinforces its dedication to open, collaborative AI research by offering accessible ecosystems of data, models, and evaluation tools.

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Allen AI

FEBRUARY 1, 2024

Evaluation: We’ve released the evaluation suite used in development, complete with 500+ checkpoints per model, from every 1000 steps during the training process and evaluation code under the umbrella of the Catwalk project.

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Marktechpost

JULY 15, 2023

Conversational AI refers to technology like a virtual agent or a chatbot that use large amounts of data and natural language processing to mimic human interactions and recognize speech and text. In recent years, the landscape of conversational AI has evolved drastically, especially with the launch of ChatGPT.

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ODSC - Open Data Science

MARCH 8, 2024

At its core, AI in healthcare leverages sophisticated algorithms to sift through and make sense of complex medical data. This technology is optimizing clinical decision-making and healthcare services through applications such as predictive analytics, image recognition, and natural language processing.

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John Snow Labs

JANUARY 29, 2024

Several such case studies were presented by the US Veteran’s Administration , ClosedLoop , and WiseCube at John Snow Labs’ annual Natural Language Processing (NLP) Summit , now the world’s largest gathering of applied NLP and LLM practitioners.

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ODSC - Open Data Science

MARCH 12, 2024

With large language models and generative AI reshaping the digital landscape, what isn’t talked about enough is how these technologies have also revolutionized and significantly shifted the landscape of hardware requirements. Much of which falls under the sub-field of responsible AI.

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Pickl AI

JANUARY 13, 2025

Summary: As AI continues to transform industries, various job roles are emerging. The top 10 AI jobs include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Proficiency in programming languages like Python and SQL. Continuous learning is crucial for staying relevant in this dynamic field.

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Heartbeat

AUGUST 4, 2023

“Our intelligence is what makes us human, and AI is an extension of that quality.” — Yann LeCun A new milestone is recorded almost every week as we experience the renaissance of artificial intelligence (AI) research and development. Segment anything model workflow by Meta AI Where does “Responsible AI” fit into this work?

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ODSC - Open Data Science

JANUARY 10, 2025

Common skills include Large Language Models, Natural Language Processing, JIRA/Project Management, andPyTorch. AI Researcher Artificial intelligence researchers advance or develop AI technologies and solutions through advanced research, experimentation, and the development of algorithms or techniques.

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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. Today, MindSpore is widely used for research and prototyping projects across ML Vision, NLP, and Audio tasks.

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Sebastian Ruder

NOVEMBER 14, 2022

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. This post takes a closer look at how the AI community is faring in this endeavour. N., … Polosukhin, I.

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Heartbeat

OCTOBER 12, 2023

From recognizing objects in images to discerning sentiment in audio clips, the amalgamation of language models with multi-modal learning opens doors to uncharted possibilities in AI research, development, and application in industries ranging from healthcare and entertainment to autonomous vehicles and beyond.

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Pickl AI

JULY 14, 2023

Significantly, McCarthy coined the term “Artificial Intelligence” and organized the Dartmouth Conference in 1956, which is considered the birth of AI as a field. Knowledge-Based Systems and Expert Systems (1960s-1970s): During this period, AI researchers focused on developing rule-based systems and expert systems.

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Viso.ai

DECEMBER 18, 2023

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. Researchers will be able to explore new ideas and test hypotheses without the constraints of limited real-world data.

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Pickl AI

JULY 18, 2023

Explore topics such as regression, classification, clustering, neural networks, and natural language processing. Gain Practical Experience Apply your theoretical knowledge by working on real-world AI projects.

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Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. Vertex AI, Google’s comprehensive AI platform, plays a pivotal role in ensuring a safe, reliable, secure, and responsible AI environment for production-level applications.

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Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. Vertex AI, Google’s comprehensive AI platform, plays a pivotal role in ensuring a safe, reliable, secure, and responsible AI environment for production-level applications.

Data Scientist 52

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Topbots

JULY 7, 2023

If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material. Transparency and security are key in building trust and ensuring responsible AI usage. Sign up for more AI research updates. Enjoy this article?

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AWS Machine Learning Blog

JUNE 25, 2024

Layering safety mechanisms for LLMs Achieving safe and responsible deployment of LLMs is a collaborative effort between model producers (AI research labs and tech companies) and model consumers (builders and organizations deploying LLMs). Eitan Sela is a Generative AI and Machine Learning Specialist Solutions Architect at AWS.

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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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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. Nadella announced that Altman and Brockman would head a new AI research team at Microsoft.

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