Unite.AI

MARCH 18, 2024

As generative AI technology advances, there's been a significant increase in AI-generated content. This content often fills the gap when data is scarce or diversifies the training material for AI models, sometimes without full recognition of its implications.

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IBM Journey to AI blog

JULY 17, 2023

While traditional AI approaches provide customers with quick service, they have their limitations. Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries.

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LevelAI

DECEMBER 5, 2023

In the realm of artificial intelligence, generative AI has emerged as a transformative force, capable of generating human-quality text, translating languages, and understanding the nuances of human language. Level AI stands out as a pioneer in this domain, setting new standards for enterprise-ready generative AI.

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AI News

MARCH 7, 2024

If a week is traditionally a long time in politics, it is a yawning chasm when it comes to AI. But are the ethical implications of AI technology being left behind by this fast pace? Google responded to the Gemini concerns by, for the time being, pausing the image generation of people. But it’s missing the mark here.’

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LevelAI

DECEMBER 5, 2023

In the realm of artificial intelligence, generative AI has emerged as a transformative force, capable of generating human-quality text, translating languages, and understanding the nuances of human language. Level AI stands out as a pioneer in this domain, setting new standards for enterprise-ready generative AI.

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IBM Journey to AI blog

FEBRUARY 9, 2024

2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world. The evolution of generative AI has mirrored that of computers, albeit on a dramatically accelerated timeline.

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Pickl AI

MARCH 31, 2024

Summary: Generative AI isn’t magic, but it learns like one! Through a multi-step process, the AI extracts patterns and relationships within the data. This knowledge empowers it to create entirely new, realistic content, like generating human-quality images or composing original music.

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IBM Journey to AI blog

JANUARY 25, 2024

We expect technologies such as artificial intelligence (AI) to not lie to us, to not discriminate, and to be safe for us and our children to use. Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. How are you making your model explainable?

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IBM Journey to AI blog

FEBRUARY 8, 2024

The European Artificial Intelligence Act, while not yet law, is driving new levels of human oversight and regulatory compliance for artificial intelligence (AI) within the European Union. Similar to GDPR for privacy, the EU AI Act has potential to set the tone for upcoming AI regulations worldwide.

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AI Weekly

OCTOBER 12, 2023

In the News The AI 100 2023: The top people in AI For prescient researchers, founders, and others who make up Insider's AI 100, this moment was inevitable. pitneybowes.com In The News AMD to acquire AI software startup in effort to catch Nvidia AMD said on Tuesday it plans to buy an artificial intelligence startup called Nod.ai

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IBM Journey to AI blog

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. We refer to this transformation as becoming an AI+ enterprise.

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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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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. Anomaly detection is like having a vigilant guard on duty 24/7.

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IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. ” Are foundation models trustworthy?

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Towards AI

APRIL 2, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie The ongoing race between open and closed-source AI has been a key theme of debate for some time, as has the increasing concentration of AI research and investment into transformer-based models such as LLMs.

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NVIDIA

DECEMBER 13, 2023

And generative AI in the hands of fraudsters only promises to make this more profitable. To keep up, financial services firms are wielding AI for fraud detection. So how is AI used for fraud detection? Generative AI Can Be Tapped as Fraud Copilot Much of financial services involves text and numbers.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications. What are large language models?

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IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022.

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Marktechpost

JULY 19, 2023

The boom of artificial intelligence (AI) in recent years is closely related to how much better human lives have become due to AI’s ability to perform jobs faster and with less effort. Nowadays, there are hardly any fields that do not make use of AI. Is that actually the case, though?

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Marktechpost

JULY 11, 2023

Introduction Generative AI is evolving and getting popular. Since its introduction, new models and research papers are getting released almost every other day. The major reason for the exponentially increasing popularity is the development of Large Language Models. What is AutoGPT? What is BabyAGI?

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ODSC - Open Data Science

JUNE 1, 2023

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT. Is an AI Coding Assistant Right For You? Here’s how.

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Snorkel AI

MARCH 19, 2024

Read on to see how Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours. In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies.

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Snorkel AI

MARCH 19, 2024

Read on to see how Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours. In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies.

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IBM Journey to AI blog

JULY 6, 2023

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. Because data analysts often build machine learning models, programming and AI knowledge are also valuable. This led to the theory and development of AI. What is machine learning?

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Viso.ai

DECEMBER 6, 2023

Computer vision (CV) is a rapidly evolving area in artificial intelligence (AI), allowing machines to process complex real-world visual data in different domains like healthcare, transportation, agriculture, and manufacturing. Edge AI involves processing data near the source. Get a demo here. based on training data.

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The MLOps Blog

AUGUST 11, 2023

OpenAI, on the other hand, has been at the forefront of advancements in generative AI models, such as GPT-3, which heavily rely on embeddings. The concept of Explainable AI revolves around developing models that offer inference results and a form of explanation detailing the process behind the prediction.

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