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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IBM Journey to AI blog

JANUARY 15, 2024

As the demand for generative AI is expected to grow this year, it becomes imperative for the public sector to embrace responsible use of this technology. Generative AI is emerging as a valuable solution for automating and improving routine administrative and repetitive tasks.

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John Snow Labs

SEPTEMBER 5, 2023

Topics Covered Include Large Language Models, Semantic Search, ChatBots, Responsible AI, and the Real-World Projects that Put Them to Work John Snow Labs , the healthcare AI and NLP company and developer of the Spark NLP library, today announced the agenda for its annual NLP Summit, taking place virtually October 3-5.

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AWS Machine Learning Blog

JANUARY 29, 2025

Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. In this post, we evaluate different generative AI operating model architectures that could be adopted.

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AWS Machine Learning Blog

FEBRUARY 6, 2025

AetionAI, Aetions set of generative AI capabilities, are embedded across the AEP and applications. Explore Generative AI Application Builder on AWS to learn more about building generative AI capabilities to unlock new insights, build transformative solutions, and shape the future of healthcare today.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

As companies of all sizes continue to build generative AI applications, the need for robust governance and control mechanisms becomes crucial. With the growing complexity of generative AI models, organizations face challenges in maintaining compliance, mitigating risks, and upholding ethical standards.

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Google Research AI blog

APRIL 19, 2023

This transformative potential requires us to be responsible not only in how we advance our technology, but also in how we envision which technologies to build, and how we assess the social impact AI and ML-enabled technologies have on the world.

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AWS Machine Learning Blog

MARCH 20, 2025

Gartner predicts that by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023. The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling.

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Unite.AI

JANUARY 1, 2025

AI chatbots, for example, are now commonplace with 72% of banks reporting improved customer experience due to their implementation. Integrating natural language processing (NLP) is particularly valuable, allowing for more intuitive customer interactions. The average cost of a data breach in financial services is $4.45

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Google Research AI blog

MARCH 16, 2023

The Impact Lab team, part of Google’s Responsible AI Team , employs a range of interdisciplinary methodologies to ensure critical and rich analysis of the potential implications of technology development. We examine systemic social issues and generate useful artifacts for responsible AI development.

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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. This highlights the need for continuous vigilance and robust countermeasures against such exploitation.

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Flipboard

FEBRUARY 19, 2025

Additionally, we discuss some of the responsible AI framework that customers should consider adopting as trust and responsible AI implementation remain crucial for successful AI adoption. But first, we explain technical architecture that makes Alfred such a powerful tool for Andurils workforce.

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AWS Machine Learning Blog

MARCH 21, 2025

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices. samples/2003.10304/page_2.png"

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AWS Machine Learning Blog

NOVEMBER 14, 2024

This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure. With the significant developments in the field of generative AI , intelligent applications powered by foundation models (FMs) can help users map out an itinerary through an intuitive natural conversation interface.

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AWS Machine Learning Blog

OCTOBER 23, 2024

Generative AI is set to revolutionize user experiences over the next few years. A crucial step in that journey involves bringing in AI assistants that intelligently use tools to help customers navigate the digital landscape. In this post, we demonstrate how to deploy a contextual AI assistant.

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AWS Machine Learning Blog

JANUARY 30, 2025

The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI. The team developed an innovative solution to streamline grant proposal review and evaluation by using the natural language processing (NLP) capabilities of Amazon Bedrock.

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AWS Machine Learning Blog

MARCH 14, 2025

Finally, metrics such as ROUGE and F1 can be fooled by shallow linguistic similarities (word overlap) between the ground truth and the LLM response, even when the actual meaning is very different. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value.

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Unite.AI

JULY 24, 2024

In the consumer technology sector, AI began to gain prominence with features like voice recognition and automated tasks. Over the past decade, advancements in machine learning, Natural Language Processing (NLP), and neural networks have transformed the field.

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AWS Machine Learning Blog

AUGUST 1, 2024

To address these challenges, insurers are increasingly turning to advanced technologies such as machine learning, natural language processing, and intelligent document processing solutions. Amazon Bedrock simplifies the deployment, scaling, implementation, and management of generative AI models for insurers.

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Towards AI

FEBRUARY 14, 2023

Generative AI involves the use of neural networks to create new content such as images, videos, or text. It also raises ethical concerns around issues such as bias and the potential misuse of generated content. Disclaimer: This article uses Cohere for text generation. What is Generative AI?

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Marktechpost

APRIL 21, 2024

Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods. This microlearning module is perfect for those curious about how AI can generate content and innovate across various fields.

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Marktechpost

MAY 30, 2024

Natural Language Processing on Google Cloud This course introduces Google Cloud products and solutions for solving NLP problems. It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow. It also includes guidance on using Google Tools to develop your own Generative AI applications.

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Towards AI

FEBRUARY 11, 2025

When we needed answers to math problems, we simply typed them into calculators that provided written responses. This was the limit of our interaction with technology until Natural Language Processing (NLP) emerged, giving computers a voice. Finally, respond how a person would.

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AWS Machine Learning Blog

MARCH 14, 2025

Implement safeguards by filtering harmful multimodal content based on your responsible AI policies for your application by associating Amazon Bedrock Guardrails with your agent. He is driven by creating cutting-edge generative AI solutions while prioritizing a customer-centric approach to his work.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

Goldman Sachs estimated that generative AI could automate 44% of legal tasks in the US. A special report published by Thompson Reuters reported that generative AI awareness is significantly higher among legal professionals, with 91% of respondents saying they have heard of or read about these tools.

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AWS Machine Learning Blog

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. Enterprise Solutions Architect at AWS, experienced in Software Engineering, Enterprise Architecture, and AI/ML.

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AWS Machine Learning Blog

JUNE 25, 2024

Guardrails for Amazon Bedrock Guardrails for Amazon Bedrock enables the implementation of guardrails across LLMs based on use cases and responsible AI policies. Denied topics – You can define a set of topics to avoid within your generative AI application.

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Marktechpost

JUNE 8, 2024

Microsoft’s AI courses offer comprehensive coverage of AI and machine learning concepts for all skill levels, providing hands-on experience with tools like Azure Machine Learning and Dynamics 365 Commerce. It includes learning about recommendation lists and parameters.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. Use the “Generative AI” tag as you are browsing the session catalog to find them.

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AWS Machine Learning Blog

MAY 13, 2024

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. It’s serverless, so you don’t have to manage any infrastructure.

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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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AWS Machine Learning Blog

FEBRUARY 12, 2025

Generative AI has emerged as a transformative force, captivating industries with its potential to create, innovate, and solve complex problems. Responsible AI Implementing responsible AI practices is crucial for maintaining ethical and safe deployment of RAG systems.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

He is deeply passionate about generative AI and consistently seeks opportunities to implement AI into solving complex customer challenges. At Amazon, he plays a key role in developing scalable data pipelines, improving data quality, and enabling actionable insights for reverse logistics and ReCommerce operations.

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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. The post Meta AI Announces Purple Llama to Assist the Community in Building Ethically with Open and Generative AI Models appeared first on MarkTechPost.

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Unite.AI

APRIL 3, 2024

In today's era of rapid technological advancement, Artificial Intelligence (AI) applications have become ubiquitous, profoundly impacting various aspects of human life, from natural language processing to autonomous vehicles. Moreover, balancing AI advancement with sustainable energy practices is vital.

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IBM Journey to AI blog

OCTOBER 16, 2023

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. The development and use of these models explain the enormous amount of recent AI breakthroughs. ” Are foundation models trustworthy?

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ODSC - Open Data Science

MARCH 10, 2025

Researchers and practitioners explored complex architectures, from transformers to reinforcement learning , leading to a surge in sessions on natural language processing (NLP) and computervision. Simultaneously, concerns around ethical AI , bias , and fairness led to more conversations on Responsible AI.

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