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6 Best Procure-to-Pay Software in 2024

UncategorisedFebruary 18, 202591Views 0Likes 0Comments

The advent of AI and automated workflows in recent years have paved the way for procure to pay software - and these tools have completely streamlined the cumbersome processes associated with the procure to pay cycle. Businesses are increasingly aiming to streamline their P2P process with the aid of procure to pay software and stay…

Energy and Utility Companies are Ready for AI — Let’s Explore the Benefits. | by Marcin Rojek | May, 2024

Human AiFebruary 18, 202593Views 0Likes 0Comments

Explore byteLAKE’s Data Insights: Fueling Efficiency, Sustainability, and Cost Reductions in Energy and Utility Sectors through AI Integration. According to a study in the article, Utilities say they’re ready for AI. Where should they start? (power-grid.com, close to 75% of energy and utility companies have either adopted AI or are actively considering its integration into…

The Role of IoT Tech in Fostering Gen Z’s Remote Working Culture

IoTFebruary 18, 2025104Views 0Likes 0Comments

As tech enthusiasts, you’re likely intrigued by Generation Z’s distinct approach to work and their demand for flexibility. Remote work is essential for this generation, as it aligns with their digital-first mindset. It offers the autonomy and seamless tech integration they crave. The Internet of Things (IoT) is crucial here, creating an interconnected ecosystem…

The Easiest Way of Running Llama 3 Locally

Data AnalyticsFebruary 18, 2025135Views 0Likes 0Comments

Image by Author Running LLMs (Large Language Models) locally has become popular as it provides security, privacy, and more control over model outputs. In this mini tutorial, we learn the easiest way of downloading and using the Llama 3 model. Llama 3 is Meta AI's latest family of LLMs. It…

Advancements in Knowledge Distillation and Multi-Teacher Learning: Introducing AM-RADIO Framework

AI NewsFebruary 18, 202592Views 0Likes 0Comments

Knowledge Distillation has gained popularity for transferring the expertise of a “teacher” model to a smaller “student” model. Initially, an iterative learning process involving a high-capacity model is employed. The student, with equal or greater capacity, is trained with extensive augmentation. Subsequently, the trained student expands the dataset through pseudo-labeling new data. Notably, the student…

Flash 1.5, Gemma 2 and Project Astra

OpenAIFebruary 18, 2025109Views 0Likes 0Comments

1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more. This is because it’s been trained by 1.5 Pro through a process called “distillation,” where the most essential knowledge and skills from a larger model are transferred to a smaller, more efficient model. Read more…

Building and Evaluating Customer Churn Classification Models with Tidymodels | by Deepsha Menghani | May, 2024

Data ScienceFebruary 18, 2025100Views 0Likes 0Comments

Guide to using the standardized syntax within Tidymodels to build and compare various models and metrics When I first learned to build models, eons ago, there were many approaches to constructing models across different packages with different parameter names. Then… Source link

How to copy an Excel table into Word

UncategorisedFebruary 18, 202583Views 0Likes 0Comments

Are you tired of the time-consuming and error-prone process of manually copying Excel tables into Word documents? Anyone who frequently works with data knows how frustrating it can be to ensure that your tables maintain their formatting and accuracy when transferred between applications. This comprehensive guide will explore various methods for seamlessly copying Excel tables…

Why might a business use web scraping to collect data?

UncategorisedFebruary 18, 2025119Views 0Likes 0Comments

In today’s highly competitive business landscape, having access to updated and accurate data is imperative for an organization. However, constantly collecting and keeping this data updated is extremely time-consuming and resource-intensive. Hence, businesses must use automated data collection processes to gain a competitive advantage. The digital age has ensured that most data organizations need is…

Simplifying AI: A Dive into Lightweight Fine-Tuning Techniques | by Anurag Lahon

Human AiFebruary 18, 202593Views 0Likes 0Comments

In natural language processing (NLP), fine-tuning large pre-trained language models like BERT has become the standard for achieving state-of-the-art performance on downstream tasks. However, fine-tuning the entire model can be computationally expensive. The extensive resource requirements pose significant challenges. In this project, I explore using a parameter-efficient fine-tuning (PEFT) technique called LoRA to fine-tune BERT…