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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AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. Take a look at how the BBC is looking to utilise generative AI and ensure it puts its values first.

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IBM Journey to AI blog

JANUARY 25, 2024

How might this insight affect evaluation of AI models? Model (in)accuracy To quote a common aphorism, all models are wrong. This holds true in the areas of statistics, science and AI. Models created with a lack of domain expertise can lead to erroneous outputs. How are you making your model explainable?

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NVIDIA

MARCH 1, 2024

Developers of trustworthy AI understand that no model is perfect, and take steps to help customers and the general public understand how the technology was built, its intended use cases and its limitations.

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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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IBM Journey to AI blog

MARCH 4, 2024

AI is at a turning point, driving exponential advancements in an organization’s prosperity and growth. Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development.

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IBM Journey to AI blog

AUGUST 11, 2023

Automate the ML lifecycle—Once the models are built, trained and tested, teams set up the automation within ML pipelines that create repeatable flows for an even more efficient process. How generative AI is evolving MLOps The release of OpenAI’s ChatGPT sparked interests in AI capabilities across industries and disciplines.

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Unite.AI

DECEMBER 13, 2023

The introduction of generative AI tools marks a shift in disaster recovery processes. The need for explainability in AI algorithms becomes important in meeting compliance requirements. Organizations must showcase how AI-driven decisions are made, making explainable AI models important.

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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.

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ODSC - Open Data Science

JUNE 1, 2023

Unlocking Tabular Data’s Hidden Potential Tabular data holds the key to unlocking untapped potential and driving competitive advantage in a world where AI solutions are becoming increasingly commonplace. Take a deep dive into the theory underpinning and applications of Generative AI at our first-ever Generative AI Summit on July 20th.

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Unite.AI

JANUARY 12, 2024

The field of artificial intelligence (AI) has seen tremendous growth in 2023. Generative AI, which focuses on creating realistic content like images, audio, video and text, has been at the forefront of these advancements. Enhancing user trust via explainable AI also remains vital.

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IBM Journey to AI blog

AUGUST 17, 2023

This year, the USTA is using watsonx , IBM’s new AI and data platform for business. Bringing together traditional machine learning and generative AI with a family of enterprise-grade, IBM-trained foundation models, watsonx allows the USTA to deliver fan-pleasing, AI-driven features much more quickly.

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IBM Journey to AI blog

JULY 6, 2023

to learn more) In other words, you get the ability to operationalize data science models on any cloud while instilling trust in AI outcomes.

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IBM Journey to AI blog

FEBRUARY 8, 2024

For industries providing essential services to clients such as insurance, banking and retail, the law requires the use of a fundamental rights impact assessment that details how the use of AI will affect the rights of customers. Higher risk tiers have more transparency requirements including model evaluation, documentation and reporting.

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AI Weekly

OCTOBER 12, 2023

techspot.com Applied use cases Study employs deep learning to explain extreme events Identifying the underlying cause of extreme events such as floods, heavy downpours or tornados is immensely difficult and can take a concerted effort by scientists over several decades to arrive at feasible physical explanations. "I'll get more," he added.

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Towards AI

APRIL 2, 2024

This is only clearer with this week’s news of Microsoft and OpenAI planning a >$100bn 5 GW AI data center for 2028. This would be its 5th generation AI training cluster. X’s Grok Chatbot Will Soon Get an Upgraded Model, Grok-1.5 has announced an upgraded version of its AI model, Grok-1.5.

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NVIDIA

DECEMBER 13, 2023

And generative AI in the hands of fraudsters only promises to make this more profitable. AI for fraud detection uses multiple machine learning models to detect anomalies in customer behaviors and connections as well as patterns of accounts and behaviors that fit fraudulent characteristics.

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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. IBM watsonx consists of the following: IBM watsonx.ai

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Marktechpost

JULY 19, 2023

Researchers have also shown that explainable AI, which is when an AI model explains at each step why it took a certain decision instead of just providing predictions, does not reduce this problem of AI overreliance. Check out the Paper and Stanford Article.

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Snorkel AI

MARCH 19, 2024

In an ideal world, every company could easily and securely leverage its own proprietary data sets and assets in the cloud to train its own industry/sector/category-specific AI models. There are multiple approaches to responsibly provide a model with access to proprietary data, but pointing a model at raw data isn’t enough.

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Snorkel AI

MARCH 19, 2024

In an ideal world, every company could easily and securely leverage its own proprietary data sets and assets in the cloud to train its own industry/sector/category-specific AI models. There are multiple approaches to responsibly provide a model with access to proprietary data, but pointing a model at raw data isn’t enough.

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IBM Journey to AI blog

FEBRUARY 28, 2024

They also found that, while the public is still wary about new technologies like artificial intelligence (AI), most people are in favor of government adoption of generative AI. All respondents had at least a basic understanding of AI and generative AI. However, trust is an issue.

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Viso.ai

DECEMBER 6, 2023

Generative AI: Architectures like Generative Adversarial Networks ( GANs ) and Variational Autoencoders ( VAEs ) are giving rise to generative models that can synthesize new images based on input data distributions. Edge AI involves processing data near the source.

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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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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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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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