TechNode

MARCH 24, 2025

Ant Group has developed AI model training technology using Chinese-made chips, reducing costs by 20%, according to Bloomberg. The fintech giant used semiconductors from Alibaba and Huawei, along with a machine learning method called mixture of experts, or MoE, which splits tasks into specialized subsets for efficiency.

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Google Research AI blog

FEBRUARY 23, 2023

Pre-training on diverse datasets has proven to enable data-efficient fine-tuning for individual downstream tasks in natural language processing (NLP) and vision problems. So, we ask the question: Can we enable similar pre-training to accelerate RL methods and create a general-purpose “backbone” for efficient RL across various tasks?

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The Verge

MARCH 12, 2021

Today, Facebook announced a new initiative that it hopes will give it an edge in this consequential work: training its AI on Facebook users’ public videos. Facebook is vague about its future plans for AI models trained on users’ videos. This is information, incidentally, that has often been indexed by AI systems trained on user data.).

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NVIDIA AI Blog

MARCH 17, 2025

Efficient tokenization helps reduce the amount of computing power required for training and inference. There are numerous tokenization methods and tokenizers tailored for specific data types and use cases can require a smaller vocabulary, meaning there are fewer tokens to process. How Are Tokens Used During AI Training?

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Google Research AI blog

FEBRUARY 1, 2023

The ability to reason on new tasks is mostly credited to training models on a wide variety of unique instructions, known as “instruction tuning”, which was introduced by FLAN and extended in T0 , Super-Natural Instructions , MetaICL , and InstructGPT. Counts for each are reported using task definitions from the respective works.

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NVIDIA AI Blog

MARCH 18, 2025

It is designed to easily transition NVIDIA Blackwell-based systems from pretraining to post-training and now test-time scaling with speed and efficiency. From configuring deployments to validating infrastructure to operating developer workloads, its capabilities help enterprises get frontier models up and running faster.

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Machine Learning Mastery

AUGUST 7, 2024

Many beginners will initially rely on the train-test method to evaluate their models. This method is straightforward and seems to give a clear indication of how well a model performs on unseen data. However, this approach can often lead to an incomplete understanding of a model’s capabilities.

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Candid

NOVEMBER 26, 2024

Asking better questions that center the needs of those most affected The questions are designed to be applied to any research and evaluation method or design, at any point in the process. For example: asking “Are community members and stakeholders provided resources to participate in the project, such as training or compensation?”

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Towards Data Science

MARCH 17, 2023

Take advantage of the distributive power of Apache Spark and concurrently train thousands of auto-regressive time-series models on big data Photo by Ricardo Gomez Angel on Unsplash 1. How should we train and manage thousands of models? What if we need to create this forecast relatively frequently? or even in real time?

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sgEngage

OCTOBER 18, 2024

In natural disasters, the training and quick action of first responders and emergency services save lives and livelihoods. Screen Every Volunteer Spontaneous crisis volunteers need to be screened so they can be given suitable roles and be properly registered and trained. Resources the volunteer can provide (boat, truck, chainsaw, etc.)

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Fast Company Tech

MARCH 25, 2025

Instead of generic training, allow employees to direct their own professional growth. Janet du Preez (MSc MOTI) , leadership and organisational development consultant, Engagement Dynamics Create your own challenges One method that I would recommend is to create your own challenges rather than waiting for them to come to you.

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Nimble AMS

OCTOBER 11, 2024

To streamline the payment process and secure your data, leverage an AMS that offers stored payment options, where members can add, edit, and save payment methods. Train employees in data security best practices Ramp up cybersecurity efforts by training your staff on how to handle member and customer data.

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Machine Learning Mastery

MARCH 17, 2025

Learning advanced concepts of LLMs includes a structured, stepwise approach that includes concepts, models, training, and optimization as well as deployment and advanced retrieval methods. This roadmap presents a step-by-step method to gain expertise in LLMs.

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NVIDIA AI Blog

MARCH 18, 2025

LTMs customized, multimodal large language models ( LLMs ) trained specifically on telco network data are core elements in the development of network AI agents, which automate complex decision-making workflows, improve operational efficiency, boost employee productivity and enhance network performance.

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sgEngage

DECEMBER 20, 2024

We had similar methods of writing weekly data check maintenance queries in our CRM, Blackbaud Raisers Edge NXT. In minutes, a data check query can bring me up to speed with a spreadsheet containing all the organizations CRM goals, projects, and training needs by category.

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Nonprofit Tech for Good

AUGUST 29, 2022

Onboard and Train Volunteers. Onboard and Train Volunteers: The next step is onboarding volunteers, which usually includes training and meeting other volunteers and nonprofit staff. For some volunteer positions, training may be short as a few minutes, while training for others can take weeks. Process Volunteers.

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Gyrus

JULY 25, 2024

A Compliance Learning Management System (LMS) is a comprehensive digital platform meticulously crafted to administer, deliver, track, and report on compliance training initiatives within organizations. Certifications Provides verifiable evidence of training completion through certificates with expiration dates and re-certification reminders.

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Gyrus

AUGUST 23, 2024

Communication and Leadership Skills Development with LMS Gyrus Systems Gyrus Systems - Best Online Learning Management Systems Effective Communication Training (ECT) is an approach focused on improving an individual’s ability to convey and understand information from others.

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TechCrunch

MAY 3, 2023

The legal spats between artists and the companies training AI on their artwork show no sign of abating. Generative AI models “learn” to create art, code and more by “training” on sample images and text, usually scraped indiscriminately from the web. By late April, that figure had eclipsed 1 billion.

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TechSpot

AUGUST 13, 2024

Researchers at Meta and Oxford University worked together on VFusion3D, a new method for developing scalable generative algorithms focused on 3D models. The technology was conceived as a way to overcome the main issue with foundation 3D generative models: the fact that there is not enough 3D data to train. Read Entire Article

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Gyrus

JULY 16, 2024

AI Integration in Pharma eLearning: Smart 21 CFR Part 11 Compliance Gyrus Systems Gyrus Systems - Best Online Learning Management Systems The adoption of AI in Pharma has highlighted the growing need for innovative methods for increasing efficiency in the field. AI integration allows corporations to enhance employee training and education.

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Google Research AI blog

APRIL 26, 2023

Posted by Shekoofeh Azizi, Senior Research Scientist, and Laura Culp, Senior Research Engineer, Google Research Despite recent progress in the field of medical artificial intelligence (AI), most existing models are narrow , single-task systems that require large quantities of labeled data to train.

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Google Research AI blog

JUNE 29, 2023

Fully erasing the influence of the data requested to be deleted is challenging since, aside from simply deleting it from databases where it’s stored, it also requires erasing the influence of that data on other artifacts such as trained machine learning models.

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Gyrus

MARCH 14, 2025

Enhancing Military Defense Preparedness with LMS Secure Training Simulation GyrusAim LMS GyrusAim LMS - Reliable and Responsive Learning Platform Home Blogs LMS Secure Training Enhancing Military Defense Preparedness with LMS Secure Training Simulation Adriann Haney Sr. What is LMS Secure Training Simulation?

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Towards Data Science

JANUARY 30, 2025

What if I told you that using just 50% of your training data could achieve better results than using the fulldataset? Data PruningResults The plot above shows the models accuracy compared to the training dataset size when using the most effective pruning method Itested. Think of each cluster as a group of similar-looking digits.

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NVIDIA AI Blog

JANUARY 27, 2025

Amphitrites fine-tuned, three-kilometer-scale AI models focus on analyzing one parameter at a time, making them more accurate than global numerical modeling methods for the variable of interest. Read more in this paper showcasing the AI method, dubbed ORCAst, trained on NVIDIA GPUs.

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Google Research AI blog

MAY 19, 2023

These models achieve remarkable performance partially due to the abundance of available training data. Therefore, protecting the privacy of the training data is critical to practical, applied ML. Finally, non-rigorous privacy reporting makes it challenging to compare and choose the best DP methods.

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The Verge

NOVEMBER 18, 2020

The team behind Chimera Painter explained their methods and motivations in a blog post , saying the idea was to create a “paintbrush that acted less like a tool and more like an assistant.” Once the model has been trained on this data, users can then paint their own segmentation map which is then rendered using photorealistic textures.

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Google Research AI blog

MARCH 2, 2023

This allows the training of models on locally available signals without exposing raw data to servers, increasing user privacy. This allows the training of models on locally available signals without exposing raw data to servers, increasing user privacy.

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Google Research AI blog

MAY 26, 2023

However, visual language has not garnered a similar level of attention, possibly because of the lack of large-scale training sets in this space. For math reasoning pre-training, we pick textual numerical reasoning datasets and render the input into images, which the image-to-text model needs to decode for answers.

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Nonprofit Tech for Good

AUGUST 19, 2022

Put simply, fiscal sponsorship is an alternative method to obtaining tax-exempt status. The traditional method for nonprofits to obtain tax-exempt status is by filing as a 501(c)(3). What is fiscal sponsorship? Fiscal sponsorship comes in many different shapes and sizes.

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Google Research AI blog

FEBRUARY 7, 2023

In the last 10 years, AI and ML models have become bigger and more sophisticated — they’re deeper, more complex, with more parameters, and trained on much more data, resulting in some of the most transformative outcomes in the history of machine learning. sub-quadratic with relation to the input sequence length).

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Fast Company Tech

MARCH 31, 2025

To help generative AI tools answer questions beyond the information in their training data, AI companies have recently used a technique called retrieval-augmented generation , or RAG. Hebbia, says Sivulka, has approached the problem with a technique the company calls iterative source decomposition.

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Mashable Tech

APRIL 1, 2025

Deem prefers the term "transnational fraud" over scam, because she believes it more accurately describes how organized international criminal networks and gangs use sophisticated methods in order to steal money and valuable data from their targets.

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Google Research AI blog

AUGUST 17, 2023

A widely used approach to mitigate the inference costs of pre-trained networks is to prune them by removing some of their weights, in a way that doesn’t significantly affect utility. Pruning methods can be applied at different stages of the network’s training process: post, during, or before training (i.e.,

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DeepMind Blog

DECEMBER 14, 2023

We introduce FunSearch, a method for searching for “functions” written in computer code, and find new solutions in mathematics and computer science.

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Singularity Hub

FEBRUARY 27, 2025

A new algorithm, Evo 2, trained on roughly 128,000 genomes9.3 The original Evo was trained on roughly three million genomes from a range of microbes and bacteria-infecting viruses. The team explicitly included these regions in Evo 2s training. They created two versions of Evo 2: a smaller version trained on 2.4

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