Unite.AI

MAY 13, 2024

The age of Generative AI (GenAI) is transforming how we work and create. From marketing copy to generating product designs, these powerful tools hold great potential. Let’s look at the growing risk of information leakage in GenAI solutions and the necessary preventions for a safe and responsible AI implementation.

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Unite.AI

JULY 12, 2024

Generative AI is making incredible strides, transforming areas like medicine, education, finance, art, sports, etc. This progress mainly comes from AI's improved ability to learn from larger datasets and build more complex models with billions of parameters.

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John Snow Labs

SEPTEMBER 24, 2024

This talk covers recent regulation in this space, limitations that current Generative AI models have, and an automated testing framework that mitigates them. We describe the open-source LangTest library, which can automate the generation and execution of more than 100 types of Responsible AI tests.

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Unite.AI

SEPTEMBER 2, 2024

Today, generative AI is taking on a similar transformative role, changing how users interact with services, offering personalized experiences, improving accessibility and streamlining the workplaces. Recognizing its potential, the public sector is increasingly investing in generative AI, with productivity gains estimated to reach $1.75

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IBM Journey to AI blog

JUNE 17, 2024

The rise of generative AI is a make-or-break moment for CEOs. To turn these opportunities into reality, IBM’s recent AI Academy episode identifies five key pillars that must be in place. Strategy : Define a clear generative AI strategy, identifying priority use cases that tie to tangible business value and ROI.

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Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset.

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Unite.AI

JANUARY 1, 2024

Today, Generative AI is wielding transformative power across various aspects of society. As per eMarketer , Generative AI shows early adoption with a projected 100 million or more users in the USA alone within its first four years. Let’s discuss its positive social impact: 1. just a simple click away.

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AWS Machine Learning Blog

JULY 10, 2024

Responsible AI is a longstanding commitment at Amazon. From the outset, we have prioritized responsible AI innovation by embedding safety, fairness, robustness, security, and privacy into our development processes and educating our employees.

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Unite.AI

NOVEMBER 21, 2023

In an era marked by rapid technological evolution, the landscape of artificial intelligence is undergoing a monumental shift, spearheaded by the advent and integration of generative AI. Firstly, the evolution of generative AI technologies has made them more accessible and easier to implement.

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AWS Machine Learning Blog

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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AWS Machine Learning Blog

APRIL 22, 2024

This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A roadmap to generative AI for sustainability In the sections that follow, we provide a roadmap for integrating generative AI into sustainability initiatives 1.

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ODSC - Open Data Science

AUGUST 8, 2024

The new Automated Responsible AI Testing Capabilities in the Generative AI Lab empower non-technical domain experts to define, run, and share test suites for AI model bias, fairness, robustness, and accuracy. There has long been a gap between how AI models should be tested and how they often are.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

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Pickl AI

NOVEMBER 18, 2024

Introduction The Generative AI that captures the imagination of developers, artists, and business leaders alike is an unprecedented ability in the development world: creating realistic text, images, music, and even videos with Machine Learning. At this point, you know you are creating it to build any Generative AI application.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. As a leader in financial services, Principal wanted to make sure all data and responses adhered to strict risk management and responsible AI guidelines.

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AWS Machine Learning Blog

JULY 29, 2024

In this post, we show how native integrations between Salesforce and Amazon Web Services (AWS) enable you to Bring Your Own Large Language Models (BYO LLMs) from your AWS account to power generative artificial intelligence (AI) applications in Salesforce.

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Marktechpost

DECEMBER 12, 2023

Chatbots often use large language models (LLMs), known for their many useful skills, including natural language processing, reasoning, and tool proficiency. They propose distinct guidelines for labeling LLM output (responses from the AI model) and human requests (input to the LLM).

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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. These innovations signal a shifting priority towards multimodal, versatile generative models.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Does it have the ability to replicate data to another Region for disaster recovery purposes?

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Pickl AI

SEPTEMBER 2, 2024

Summary: Generative AI and predictive AI represent two distinct approaches within artificial intelligence. Generative AI focuses on creating new content by learning from existing data, while predictive AI analyses historical data to forecast future outcomes.

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How to Learn Machine Learning

JULY 20, 2024

In this article you will learn about 7 of the top Generative AI Trends to watch out for in this year, so please please sit back relax, enjoy, and learn! Generative AI is an innovative technology that has revolutionized the tech world. 2024 will be no different and will see significant strides in the Generative AI space.

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NVIDIA

MAY 1, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. ChatRTX also now supports ChatGLM3, an open, bilingual (English and Chinese) LLM based on the general language model framework.

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Marktechpost

NOVEMBER 15, 2023

Microsoft has unveiled a significant expansion of its Azure AI Model Catalog , incorporating a range of foundation and generative AI models. Models as a Service (MaaS) In a strategic move, Microsoft has also introduced the concept of Models as a Service (MaaS).

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Unite.AI

OCTOBER 4, 2023

Artificial Intelligence (AI), particularly Generative AI , continues to exceed expectations with its ability to understand and mimic human cognition and intelligence. However, in many cases, the outcomes or predictions of AI systems can reflect various types of AI bias, such as cultural and racial. What is AI Bias?

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Marktechpost

SEPTEMBER 30, 2023

In the rapidly evolving landscape of generative AI, concerns surrounding intellectual property rights have emerged as a critical issue. Companies like Getty Images, one of the leading suppliers of stock content, have recognized the need for a responsible approach. The heart of the matter lies in the tool’s training data.

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Marktechpost

OCTOBER 22, 2023

In the ever-evolving realm of generative AI, this commitment takes on paramount importance. Earlier this year, Google Cloud integrated Duet AI, an always-on AI collaborator, across its suite of products, spanning from Google Workspace to Google Cloud Platform. Join our AI Channel on Whatsapp.

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AWS Machine Learning Blog

NOVEMBER 2, 2023

Recently, teachers and institutions have looked for different ways to incorporate artificial intelligence (AI) into their curriculums, whether it be teaching about machine learning (ML) or incorporating it into creating lesson plans, grading, or other educational applications. You can find the implementation details in the following sections.

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Topbots

JULY 29, 2024

Generative AI is a rapidly evolving field with a plethora of fascinating applications, from creating realistic images and videos to generating human-like text and beyond. As the technology advances, the demand for skilled professionals who can harness the power of generative AI is growing exponentially.

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AI News

APRIL 24, 2024

. “What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the ability to make a decision on what is the best model for their scenario,” said Sonali Yadav, Principal Product Manager for Generative AI at Microsoft.

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AWS Machine Learning Blog

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. These applications are a focus point for our generative AI efforts.

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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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AI News

FEBRUARY 23, 2024

London-based AI lab Stability AI has announced an early preview of its new text-to-image model, Stable Diffusion 3. The advanced generative AI model aims to create high-quality images from text prompts with improved performance across several key areas. We believe in safe, responsible AI practices.

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Towards AI

SEPTEMBER 4, 2023

Last Updated on September 5, 2023 by Editorial Team Author(s): Emil Novakov Originally published on Towards AI. While this historical context may seem distant, the lessons drawn from Oppenheimer’s approach to problem-solving and innovation are relevant for enterprises navigating this new era of Generative AI.

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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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Marktechpost

NOVEMBER 16, 2024

In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Learning generative AI is crucial for staying competitive and leveraging the technology’s potential to innovate and improve efficiency.

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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. That’s because the computational power required to train and run LLMs and generative AI is immense.

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