Unite.AI

MARCH 22, 2024

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP). The focus would be on developing AI systems that can reason ethically and align with societal values.

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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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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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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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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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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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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. Prior to Amazon, Evangelia completed her Ph.D. at Language Technologies Institute, Carnegie Mellon University.

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ODSC - Open Data Science

MARCH 12, 2025

Takeaway: The industrys focus has shifted from building models to making them robust, scalable, and maintainable. The Boom of Generative AI and Large Language Models(LLMs) 20182020: NLP was gaining traction, with a focus on word embeddings, BERT, and sentiment analysis.

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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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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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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. In the same way software engineers and QA can scan, test and validate their code, we provide the same capabilities for AI models.

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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.

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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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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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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. The Llama project is expected to spur responsible AI adoption across various areas and boost innovation as it develops.

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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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John Snow Labs

MAY 15, 2023

The underlying principles behind the NLP Test library: Enabling data scientists to deliver reliable, safe and effective language models. Responsible AI: Getting from Goals to Daily Practices How is it possible to develop AI models that are transparent, safe, and equitable? Finally, [ van Aken et.

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

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Unite.AI

JANUARY 12, 2024

These innovations signal a shifting priority towards multimodal, versatile generative models. Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development.

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John Snow Labs

OCTOBER 10, 2023

The NLP Lab is a free, no-code, privately deployed, enterprise-grade software platform for training & tuning AI models. Hundreds of organizations have adopted it to enable medical doctors, lawyers, finance analysts, and other domains experts to create custom state-of-the-art models without coding.

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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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John Snow Labs

DECEMBER 2, 2024

John Snow Labs is the developer behind Spark NLP, Healthcare NLP, and Medical LLMs. Its award-winning medical AI software powers the world’s leading pharmaceuticals, academic medical centers, and health technology companies.

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John Snow Labs

MAY 21, 2024

This combination of nine benchmarks challenges AI models to answer thousands of medical licensing exam questions (MedQA), biomedical research questions (PubMedQA), and college-level exams in anatomy, genetics, biology, and medicine (MMLU). As achievable accuracy continues to improve, so do requirements for production-ready models.

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ODSC - Open Data Science

OCTOBER 3, 2023

If you’re unfamiliar, a prompt engineer is a specialist who can do everything from designing to fine-tuning prompts for AI models, thus making them more efficient and accurate in generating human-like text. This role is pivotal in harnessing the full potential of large language models.

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John Snow Labs

OCTOBER 19, 2023

This post explores the complex relationship between bias and machine learning models, highlighting how biases can silently seep into systems intended to enhance our decision-making abilities. Understanding the Impact of Bias on NLP Models Why test NLP models for Bias?

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ODSC - Open Data Science

FEBRUARY 10, 2023

Faster Training and Inference Using the Azure Container for PyTorch in Azure ML If you’ve ever wished that you could speed up the training of a large PyTorch model, then this post is for you. In this post, we’ll cover the basics of this new environment, and we’ll show you how you can use it within your Azure ML project.

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NYU Center for Data Science

JANUARY 3, 2024

Moreover, her collaboration with Microsoft researchers resulted in (De)Toxigen , a cutting-edge NLP model that significantly enhances hate speech detection capabilities, offering a robust support system for content moderators. Her goal is to empower everyday users, equipping them with tools to improve online safety.

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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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Unite.AI

OCTOBER 22, 2024

At Appen, we work at the intersection of AI and data, and my experience has allowed me to lead the company and navigate complexities in the rapidly evolving AI space, moving through major developments like voice recognition, NLP, recommendation systems, and now generative AI.

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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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John Snow Labs

JULY 27, 2023

John Snow Labs , the award-winning Healthcare AI and NLP company renowned for its Spark NLP library, proudly announces its continued commitment to sustainability with the achievement of CarbonNeutral® company status for the year 2023. months, creating a potentially material carbon footprint.

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AWS Machine Learning Blog

JUNE 25, 2024

Unlike traditional natural language processing (NLP) approaches, such as classification methods, LLMs offer greater flexibility in adapting to dynamically changing categories and improved accuracy by using pre-trained knowledge embedded within the model.

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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 will have to pay for the invocations after the trial period.

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John Snow Labs

SEPTEMBER 24, 2024

Attendees will gain a comprehensive understanding of both the technical and business aspects of ensuring unbiased AI in recruitment. The post Identifying and Mitigating Bias in AI Models for Recruiting appeared first on John Snow Labs.

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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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ODSC - Open Data Science

JANUARY 1, 2024

Webinars Under our Ai+ Training platform, we host playlists of past webinars that we’ve held with Microsoft. Here, we have several different playlists, including machine & deep learning , NLP , responsible AI, model explainability, and other miscellaneous data science topics.

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ODSC - Open Data Science

FEBRUARY 5, 2024

This milestone is highlighted by a staggering 82 million downloads of its Spark NLP library and a significant expansion in its NLP Lab offerings. In the company’s news release, they state that this positions the company at the vanguard of generative AI technology.

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