Author name: Katarzyna Rojewska

ai, business, gpt, Software

GPT-Based Projects: 11 Business & Tech Factors to Consider Before You Start

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The ascent of large language models, particularly GPT, has marked one of the standout tech trends this year.

Are you considering adding a GPT-based solution to your business framework? It would be a strategic move, and this guide provides a thorough outline of what to look at before setting sail. We touch on everything from intricate technical details to broader business ramifications.

Artykuł GPT-Based Projects: 11 Business & Tech Factors to Consider Before You Start pochodzi z serwisu DLabs.AI.

ai, Software

Deploying MLflow in GCP Using Terraform: A Step-by-Step Guide

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The complexities of managing and deploying ML infrastructure continue to grow and can indeed be daunting. Some time ago, we shared “A Step-by-step Guide To Setting Up MLflow On The Google Cloud Platform,” which was well-received. However, as time has passed, advancements in technology have offered us the potential to simplify and automate this process […]

Artykuł Deploying MLflow in GCP Using Terraform: A Step-by-Step Guide pochodzi z serwisu DLabs.AI.

ai, business

Everything You Need to Know About NYC’s Automated Employment Decision Tools (AEDT) Law

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NYC’s new 2023 regulations on Automated Employment Decision Tools (AEDTs) could impact you, whether you’re a software vendor, employer, HR professional, or job seeker. Dive into our article to understand this law, recognize violations, and ensure your hiring processes are compliant.

Artykuł Everything You Need to Know About NYC’s Automated Employment Decision Tools (AEDT) Law pochodzi z serwisu DLabs.AI.

ai, business

4 Key Risks of Implementing AI: Real-Life Examples & Solutions

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As the incorporation of artificial intelligence (AI) expands, so does the complexity and range of its risks. Businesses are increasingly cognizant of these challenges, yet the roadmaps to solutions often remain shrouded in obscurity.

If the question ‘How to navigate these risks?’ resonates with you, then this article will serve as a lighthouse in the fog. We delve into the heart of AI’s most pressing issues, bolstered by real-life instances, and lay out clear, actionable strategies to safely traverse this intricate terrain.

Read on to unlock valuable insights that could empower your business to leverage the potency of AI, all the while deftly sidestepping potential pitfalls.

Artykuł 4 Key Risks of Implementing AI: Real-Life Examples & Solutions pochodzi z serwisu DLabs.AI.

gpt, Software

Effective Software Development: 7 Ways To Get More From ChatGPT & Copilot 

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Fears that artificial intelligence will take our jobs are overblown. The likelier scenario is tools like ChatGPT will simply increase our output. A recent MIT study points to this, showing how when white-collar workers had access to an assistive chatbot, it took them 40% less time to complete a task, while the quality of their […]

Artykuł Effective Software Development: 7 Ways To Get More From ChatGPT & Copilot  pochodzi z serwisu DLabs.AI.

ai, Software

Big Medical Image Preprocessing With Apache Beam | A Step-by-Step Guide

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This article will walk you through how to process large medical images efficiently using Apache Beam — and we’ll use a specific example to explore the following:

– How to approach using huge images in ML/AI
– Different libraries for dealing with said images
– How to create efficient parallel processing pipelines

Ready for some serious knowledge-sharing?

Artykuł Big Medical Image Preprocessing With Apache Beam | A Step-by-Step Guide pochodzi z serwisu DLabs.AI.

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