Shaip Blog
Know the latest insights and solutions that drive Artificial Intelligence & Machine Learning Technologies.
The True Cost of AI Training Data: How to Budget Effectively for High-Quality Datasets
Developing Artificial Intelligence (AI) systems is a complex and resource-intensive process. From sourcing data to training models, the journey involves numerous challenges that can significantly
Off-the-Shelf AI Training Data: What It Is and How to Select the Right Vendor
Building AI and machine learning (ML) solutions often requires massive amounts of high-quality training datasets. However, creating these datasets from scratch demands significant time, effort,
Why Multilingual AI Text Data is Crucial for Training Advanced AI Models
The world is a vibrant tapestry of cultures and languages. While differences in geography, language, and ideologies exist, shared emotions connect us. To truly harness
In-House or Outsourced Data Annotation – Which Gives Better AI Results?
In 2020, 1.7 MB of data was created every second by people. And in the same year, we produced close to 2.5 quintillion data bytes
The Role of NLP in Insurance Fraud Detection and Prevention
We are witnessing an era in which AI is also being used by fraudsters. This makes it extremely difficult for users to detect suspicious activity.
The A To Z Of Data Annotation
What is Data Annotation [2025 Updated] – Best Practices, Tools, Benefits, Challenges, Types & more Need to know the Data Annotation basics? Read this complete
Shaip Expands Availability of High-Quality Healthcare Data throughPartnership with Protege
Louisville, Kentucky, and New York, New York, USA, March 4, 2025: Shaip, a global leader in AI-driven data solutions, has announced the availability of its
What is Anti-Spoofing and Its Techniques for Liveness Detection in Face Recognition?
Facial recognition has become a key pillar of present security systems in smartphone authentication, banking, and surveillance. However, with the increasing application of facial recognition,
Top NLP Trends to Look After in 2025
If you are active in the AI space, then you must be familiar with NLP, which stands for Natural Language Processing. NLP is changing how
What are the Top Multimodal AI Applications and Use Cases?
Multimodal AI brings together knowledge from varying resources like text, pictures, audio, and video, thus being able to provide richer and more thorough insights into
What is RAFT? RAG + Fine-Tuning
In simple terms, retrieval-augmented fine-tuning, or RAFT, is an advanced AI technique in which retrieval-augmented generation is joined with fine-tuning to enhance generative responses from
What are Large Multimodal Models (LMMs)?
Large Multimodal Models (LMMs) are a revolution in artificial intelligence (AI). Unlike traditional AI models that operate within a single data environment such as text,
19 Free Face Recognition Datasets to Supercharge Your AI Projects in 2025
Are you searching for high-quality Face Recognition Datasets to elevate your AI and machine learning projects? Look no further! We’ve compiled a list of 19
Optimizing RAG with Better Data and Prompts
RAG (Retrieval-Augmented Generation) is a recent way to enhance LLMs in a highly effective way, combining generative power and real-time data retrieval. RAG allows a
RAG vs. Fine-Tuning: Which One Suits Your LLM?
Large Language Models (LLMs) such as GPT-4 and Llama 3 have affected the AI landscape and performed wonders ranging from customer service to content generation.
What Are Multimodal Large Language Models? Applications, Challenges, and How They Work
Imagine you have an x-ray report and you need to understand what injuries you have. One option is you can visit a doctor which ideally
Golden Datasets: The Foundation of Reliable AI Systems
The golden datasets in AI refer to the purest and highest quality datasets that you can get to train your AI system. Being the highest
Everything About Conversational AI: How it’s works, Example, Benefits and Challenges [Infographic 2025]
Explore how Conversational AI is reshaping industries with personalized interactions. Check out our Infographic.
27 Open Source Image Datasets to Enhance Your Computer Vision Project [2025 Updated]
An AI algorithm is only as good as the data you feed it. It is neither a bold nor an unconventional statement. AI could have
Image Annotation – Key Use Cases, Techniques, and Types [2024]
The Ultimate Guide to Image Annotation for Computer Vision: Applications, Methods, and Categories Table of Contents Download eBook Get My Copy This guide handpicks concepts
Facial Recognition: How It Works, Its Benefits, Challenges, and Privacy Concerns
Humans are adept at recognizing faces, but we also interpret expressions and emotions quite naturally. Research says we can identify personally familiar faces within 380ms
Real-World Data vs. Synthetic Data: Unraveling the Future of AI
Once you enter the AI domain, you will often come across the term ‘synthetic data.’ In simple terms, the synthetic data is artificially generated data
What is the Use of AI in Telemedicine?
We are no longer living in the era where we had to visit doctors for basic checkups and continuous monitoring, all thanks to AI. While
What is Text-to-Speech? – TTS Explained
Imagine conversing with your smartphone, listening to your favorite articles read aloud while driving, or learning a new language with perfect pronunciation—all without human intervention.
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