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.

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Marktechpost

MAY 6, 2024

Building on the success of ChatQA, a family of conversational QA models with performance levels comparable to GPT-4, Llama3-ChatQA-1.5 was developed. ChatQA greatly improves zero-shot conversational QA outcomes with Large Language Models (LLMs) by introducing a unique two-stage instruction tweaking strategy.

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NVIDIA

MAY 1, 2024

Backed by its powerful large language models (LLMs), users can query their notes and documents with ChatRTX, which can quickly generate relevant responses, while running locally on the user’s device. Users can also interact with image data thanks to support for Contrastive Language-Image Pre-training from OpenAI.

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Marktechpost

DECEMBER 24, 2023

A pressing concern has surfaced in large language models (LLMs), drawing attention to the safety implications of downstream customized finetuning. This ethical consciousness adds depth to the paper’s contributions, aligning it with broader discussions on responsible AI development and deployment.

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Unite.AI

SEPTEMBER 7, 2023

In artificial intelligence (AI), the power and potential of Large Language Models (LLMs) are undeniable, especially after OpenAI’s groundbreaking releases such as ChatGPT and GPT-4. Developers, researchers, and policymakers must collaborate to establish robust safeguards against potential harm.

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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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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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Marktechpost

JANUARY 16, 2024

Large Language Models (LLMs) signify a remarkable advance in natural language processing and artificial intelligence. These models, exemplified by their ability to understand and generate human language, have revolutionized numerous applications, from automated writing to translation.

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Marktechpost

JANUARY 7, 2024

The emergence of AI hallucinations has become a noteworthy aspect of the recent surge in Artificial Intelligence development, particularly in generative AI. Large language models, such as ChatGPT and Google Bard, have demonstrated the capacity to generate false information, termed AI hallucinations.

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ODSC - Open Data Science

OCTOBER 5, 2023

What Exactly are Large Language Model Operations (LLMOps)? As large language models gain importance, it’s now more needed than ever to develop maintenance and deployment frameworks — enter LLMOps. Join the ODSC AI Startup Showcase! Here’s how you can customize your ODSC West schedule with ease.

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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.

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Marktechpost

NOVEMBER 6, 2023

The customizability of GPT-4 Turbo extends to control over the model’s outputs, providing an additional layer of safety and alignment with user intentions. This feature addresses one of the critical concerns in AI development: ensuring that the technology remains within the bounds of ethical use and public benefit.

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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.

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Unite.AI

APRIL 30, 2024

Successful implementations of self-reflective AI, such as Google's BERT and OpenAI's GPT series, demonstrate this approach's transformative impact. However, ethical considerations and challenges, including transparency, accountability, and guardrails, demand following responsible AI development and deployment practices.

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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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ODSC - Open Data Science

FEBRUARY 20, 2024

Individuals around the world are seeking effective ways to protect their personal data from being harvested and used without consent, especially in the training of Large Language Models. 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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AWS Machine Learning Blog

NOVEMBER 30, 2023

You can directly use the FMEval wherever you run your workloads, as a Python package or via the open-source code repository, which is made available in GitHub for transparency and as a contribution to the Responsible AI community. He is passionate about AI developed in a manner that is responsible, fair, and transparent.

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Marktechpost

APRIL 20, 2024

With expertise spanning technical AI knowledge, policy, and governance, the group aims to increase transparency and foster collective solutions to the challenges of AI safety evaluation. of the AI Safety Benchmark.

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IBM Journey to AI blog

AUGUST 16, 2023

Evolution of AI tools ChatGPT harnesses the immense power of GPT-3 and GPT-4 , belonging to a new class of “gargantuan” and widely popular large language models used in various AI applications. Using ChatGPT in this way may hinder future AI development plans if the company operates in that space.

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Flipboard

JULY 28, 2023

At a time when other leading AI companies like Google and OpenAI are closely guarding their secret sauce, Meta decided to give away , for free, the code that powers its innovative new AI large language model , Llama 2. What matters more at this point, they say, is how that misinformation is distributed.

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ODSC - Open Data Science

APRIL 14, 2023

Though it seems clear that eyes from the agency are focusing on AI, and more specifically large language models such as GPT-4, it doesn’t mean that the agency will step in and take action. This is because if the FTC does so, it could result in a chilling effect on AI development in the United States.

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IBM Journey to AI blog

OCTOBER 16, 2023

It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. Generative AI chatbots have been known to insult customers and make up facts. But how trustworthy is that training data?

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Towards AI

AUGUST 22, 2023

Last Updated on August 23, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Sakana AI is spearheading efforts to create its proprietary generative AI model, which means software that can create text, images, code, and more.

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Marktechpost

SEPTEMBER 26, 2023

and GPT-4 models, allowing them to apply language reasoning skills to a diverse range of images, including photographs, screenshots, and documents containing both text and images. This functionality is powered by multimodal GPT-3.5

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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. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s

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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. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s

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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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Mlearning.ai

AUGUST 28, 2023

The idea of parallel processing and multi-path architectures could find applications in other AI domains, driving innovation and breakthroughs in fields such as computer vision, speech recognition, and more. Ethical Considerations and Responsible AI As with any powerful technology, responsible development and deployment are paramount.

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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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John Snow Labs

OCTOBER 19, 2023

To mitigate ethnic and racial bias, it is essential to diversify the training data, include underrepresented groups, and employ techniques like adversarial training to reduce biased language generation. Furthermore, AI developers should consider the potential impact of their models on different ethnic and racial communities.

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AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Learn more about our commitment to Responsible AI and additional responsible AI resources to help our customers.

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TensorFlow

MAY 10, 2023

If you are new to AI and want to get a quick overview of the technology, check out the getting started video from Google's AI advocate lead, Laurence Moroney. Our session on Generative AI reveals more about how you can easily prompt models with MakerSuite to quickly prototype generative AI applications.

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AWS Machine Learning Blog

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

For example: The state-of-the-art (SOTA) of models, architectures, and best practices are constantly changing. This means companies need loose coupling between app clients (model consumers) and model inference endpoints, which ensures easy switch among large language model (LLM), vision, or multi-modal endpoints if needed.

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Marktechpost

DECEMBER 6, 2023

It reflects Google’s ambition and commitment to responsible AI development, pushing the boundaries of what’s possible while considering increasingly capable AI systems’ societal and ethical implications. Check out the Technical Report and Google Release Post.

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Google Research AI blog

MAY 25, 2023

PaLM 2 Our next-generation large language model (LLM), PaLM 2 , is built on advances in compute-optimal scaling , scaled instruction-fine tuning and improved dataset mixture. Our flood forecasting efforts rely on hydrological models informed by satellite observations, weather forecasts and in-situ measurements.

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AWS Machine Learning Blog

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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