Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Google Research AI blog

JANUARY 24, 2023

Posted by Marian Croak, VP, Google Research, Responsible AI and Human-Centered Technology The last year showed tremendous breakthroughs in artificial intelligence (AI), particularly in large language models (LLMs) and text-to-image models. The 10 shades of the Monk Skin Tone Scale.

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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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Large Language Models Natural Language Processing NLP Responsible AI 110

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. He added, “AI, whether open source or not, hasn’t made those steps any easier.”

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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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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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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

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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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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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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Towards AI

NOVEMBER 16, 2023

-Louis Bouchard, Towards AI Co-founder & Head of Community What’s AI Weekly In this week’s What’s AI Podcast episode, Louis Bouchard interviewed Paige Bailey, Lead product manager at Google DeepMind and previously working at Microsoft GitHub building Copilot. Reach out in the thread here.

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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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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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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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Marktechpost

MAY 2, 2024

Human-centricity, respect for democracy and human rights, environmental preservation, sustainable development, equality, non-discrimination, and innovation are the guiding principles of AI development in Brazil. AIDA would create standards for ethical AI development, design, and application with a focus on justice and safety.

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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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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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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. 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.

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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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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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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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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.

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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. Mann’s formal education in machine learning, he said, came during a time when you optimized a model against a test set.

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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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Viso.ai

DECEMBER 4, 2023

These tools use the Generative Pre-Trained Transformer (GPT), OpenAI’s state-of-the-art language Large Language Model (LLM). In the future, those with knowledge of the technology will understand the ethical considerations in AI development. How Will Regulations Shape Ethics in Generative AI?

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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.

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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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