Flipboard

MARCH 7, 2025

At the forefront of using generative AI in the insurance industry, Verisks generative AI-powered solutions, like Mozart, remain rooted in ethical and responsible AI use. This innovative application of generative AI delivers tangible productivity gains and operational efficiencies to the insurance industry.

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Generative AI Prompt Engineering Prompt Engineer Software Development 139

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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Prompt Engineering Prompt Engineer Generative AI Software Development 112

Unite.AI

JULY 11, 2023

Covers Google tools for creating your own Generative AI apps. You’ll also learn about the Generative AI model types: unimodal or multimodal, in this course. Introduction to Large Language Models Image Source Course difficulty: Beginner-level Completion time: ~ 45 minutes Prerequisites: No What will AI enthusiasts learn?

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Generative AI BERT Natural Language Processing Large Language Models 189

Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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Composite AI Explainability Black Box AI Explainable AI 182

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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Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

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.

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Artificial Intelligence Artificial Intelligence Machine Learning Prompt Engineer 123

Unite.AI

JULY 1, 2024

At the core of Seekr's technology is an independent search engine, powered by proprietary AI and utilizing natural language processing (NLP) to produce a Seekr Score and Political Lean Indicator. Our Intel collaboration running in Intel’s AI cloud allows Seekr the best price-performance that we pass on to our customers.

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Explainability Software Engineer AI Modeling Responsible AI 173

AWS Machine Learning Blog

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Marktechpost

AUGUST 22, 2024

The result is a smaller, more efficient model that retains much of the performance of the original, larger model. The Process of Model Pruning and Distillation Model pruning is a technique for making AI models smaller and more efficient by removing less critical components.

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AI Modeling Large Language Models Natural Language Processing AI 104

Marktechpost

SEPTEMBER 19, 2024

The release of Pixtral 12B by Mistral AI represents a groundbreaking leap in the multimodal large language model powered by an impressive 12 billion parameters. This advanced AI model is designed to handle and generate textual and visual content, making it a versatile tool for various industries.

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AI Modeling Large Language Models Artificial Intelligence Artificial Intelligence 112

Marktechpost

DECEMBER 12, 2023

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. Using the ability of LLM models to obey commands, they can accomplish this with just one model.

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Generative AI AI Modeling Large Language Models LLM 104

AWS Machine Learning Blog

MARCH 14, 2025

Both features rely on the same LLM-as-a-judge technology under the hood, with slight differences depending on if a model or a RAG application built with Amazon Bedrock Knowledge Bases is being evaluated. at Language Technologies Institute, Carnegie Mellon University. Prior to Amazon, Evangelia completed her Ph.D.

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Generative AI Automation Responsible AI LLM 78

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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Marktechpost

MAY 6, 2024

In the quickly changing field of Natural Language Processing (NLP), the possibilities of human-computer interaction are being reshaped by the introduction of advanced conversational Question-Answering (QA) models. Recently, Nvidia has published a competitive Llama3-70b QA/RAG fine-tune. The Llama3-ChatQA-1.5

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Large Language Models Natural Language Processing NLP Responsible AI 119

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Manage a range of machine learning models with watstonx.ai

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Machine Learning Neural Network Algorithm Computer Vision 230

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. It includes AI lifecycle governance, which monitors, catalogs and governs AI models at scale from wherever they reside.

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Metadata Explainability Automation Explainable AI 220

Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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Generative AI Neural Network ChatGPT OpenAI 189

IBM Journey to AI blog

AUGUST 16, 2023

While ChatGPT has gained significant attention and popularity, it faces competition from other AI-powered chatbots and natural language processing (NLP) systems. Google, for example, has developed Bard , its AI chatbot, which is powered by its own language engine called PaLM 2.

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ChatGPT Chatbots Natural Language Processing AI Chatbots 170

Marktechpost

SEPTEMBER 3, 2024

As industries increasingly seek cost-effective and scalable AI solutions, miniG emerges as a transformative tool, setting a new standard in developing and deploying AI models. Background and Development of miniG miniG, the latest creation by CausalLM, represents a substantial leap in the field of AI language models.

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Natural Language Processing Responsible AI AI AI 112

IBM Journey to AI blog

JANUARY 10, 2024

Data is often divided into three categories: training data (helps the model learn), validation data (tunes the model) and test data (assesses the model’s performance). For optimal performance, AI models should receive data from a diverse datasets (e.g.,

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Towards AI

JULY 27, 2024

Claude AI and ChatGPT are both powerful and popular generative AI models revolutionizing various aspects of our lives. Dedicated to safety and security It is a well-known fact that Anthropic prioritizes responsible AI development the most, and it is clearly seen in Claude’s design.

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ChatGPT Prompt Engineer Prompt Engineering Explainability 119

ODSC - Open Data Science

AUGUST 29, 2023

Since OpenAI’s ChatGPT kicked down the door and brought large language models into the public imagination, being able to fully utilize these AI models has quickly become a much sought-after skill. With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must.

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Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

Pickl AI

DECEMBER 15, 2024

These processes include learning (the acquisition of information and rules for using it), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI technologies encompass Machine Learning, Natural Language Processing , robotics, and more.

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Marktechpost

JULY 4, 2023

In models like DALLE-2, prompt engineering includes explaining the required response as the prompt to the AI model. For example, an AI system skilled in identifying images of cats might classify all black-and-white images as cats, leading to imprecise results.

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Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 112

Marktechpost

AUGUST 1, 2024

The introduction of ShieldGemma underscores Google’s commitment to responsible AI deployment, addressing concerns related to the ethical use of AI technology. Gemma 2 2B also supports on-device deployment through llama.cpp, an approach that allows the model to run on various operating systems, including Mac, Windows, and Linux.

Natural Language Processing 108

Natural Language Processing Large Language Models Conversational AI Python 108

Towards AI

OCTOBER 19, 2024

Techniques for Peering into the AI Mind Scientists and researchers have developed several techniques to make AI more explainable: 1. Model Attention: Helps us understand which parts of the input data the AI focuses on most. It’s particularly useful in natural language processing [3].

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Explainability Explainable AI Natural Language Processing Prompt Engineering 105

Topbots

DECEMBER 5, 2023

Generated with DALL-E 3 In the rapidly evolving landscape of Natural Language Processing, 2023 emerged as a pivotal year, witnessing groundbreaking research in the realm of Large Language Models (LLMs). Email Address * Name * First Last Company * What areas of AI research are you interested in?

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LLM Large Language Models Natural Language Processing Chatbots 110

AWS Machine Learning Blog

JUNE 25, 2024

Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. With Amazon Bedrock, developers can experiment, evaluate, and deploy generative AI applications without worrying about infrastructure management.

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Automation Prompt Engineering Prompt Engineer Categorization 128

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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LLM Large Language Models Natural Language Processing Artificial Intelligence 107

Marktechpost

DECEMBER 4, 2024

This initiative aims to support the development of safe and trustworthy AI systems by providing a robust and accessible platform for experimentation. Image Source In September 2024, AI2 introduced Molmo , a family of multimodal AI models capable of processing text and visual data.

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Natural Language Processing Artificial Intelligence Artificial Intelligence Large Language Models 61

John Snow Labs

DECEMBER 2, 2024

John Snow Labs’ Medical Language Models is by far the most widely used natural language processing (NLP) library by practitioners in the healthcare space (Gradient Flow, The NLP Industry Survey 2022 and the Generative AI in Healthcare Survey 2024 ).

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LLM NLP Machine Learning ML 52

Unite.AI

JULY 28, 2024

Copyleak's AI Detector, Plagiarism Detector, Codeleaks Source Code Detector, and innovative Writing Assistant make for the ultimate tools for producing and identifying original content. Content creators and business owners can use Copyleaks' AI Model Training to ensure quality training for their AI models with Copyleaks' AI Detector.

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ChatGPT Generative AI AI AI 162

AWS Machine Learning Blog

MAY 21, 2024

Retrieval Augmented Generation (RAG) models have emerged as a promising approach to enhance the capabilities of language models by incorporating external knowledge from large text corpora. Naive RAG models face limitations such as missing content, reasoning mismatch, and challenges in handling multimodal data.

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Natural Language Processing ML Metadata NLP 137

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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LLM Large Language Models AI Research AI Researcher 76

How to Learn Machine Learning

JULY 20, 2024

Generative AI solutions gained popularity with the launch of ChatGPT, developed by OpenAI, in 2023. Supported by Natural Language Processing (NLP), Large language modules (LLMs), and Machine Learning (ML), Generative AI can evaluate and create extensive images and texts to assist users.

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Generative AI Machine Learning Deep Learning Natural Language Processing 64

ODSC - Open Data Science

DECEMBER 1, 2023

Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning The purpose of this course is to give you hands-on practice with Generative AI models. You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning.

Data Science 52

Data Science DevOps Machine Learning Large Language Models 52

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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Generative AI Prompt Engineering Prompt Engineer LLM 137