Shaip Blog
Know the latest insights and solutions that drive Artificial Intelligence & Machine Learning Technologies.
Role of Large Language Models in Powering Multilingual AI Virtual Assistants
Virtual assistants are progressing beyond simple question-and-answer formats to solving complex queries. Today, AI-driven virtual assistants communicate in multiple languages easily, and large language models,
Bad Data in AI: The Silent ROI Killer (and How to Fix It in 2025)
The “Bad Data” Problem—Sharper in 2025 Your AI roadmap might look great on slides—until it collides with reality. Most derailments trace back to data: mislabeled
What Is a Voice Assistant? How Siri & Alexa Understand You
What Is a Voice Assistant? A voice assistant is software that lets people talk to technology and get things done—set timers, control lights, check calendars,
What Is Liveness Detection and Biometric Spoofing?
If you rely on biometrics for onboarding or authentication, liveness detection (also called presentation attack detection, PAD) is critical to stop biometric spoofing—from printed photos
What is an “Utterance” in AI?: Examples, Datasets, and Best Practices
Have you ever wondered how chatbots and virtual assistants wake up when you say, ‘Hey Siri’ or ‘Alexa’? It is because of the text utterance
Training Data for Speech Recognition: A Practical Guide for B2B AI Teams
If you’re building voice interfaces, transcription, or multimodal agents, your model’s ceiling is set by your data. In speech recognition (ASR), that means collecting diverse,
Extracting Key Clinical Information from Electronic Health Records (EHRs) using NLP
This is no new information or statistic that over 80% of the healthcare data available for stakeholders is unstructured. The rise of EHRs has exponentially
NLP in Radiology: Applications, Benefits & Challenges in Medical Imaging Reports
Radiologists today face an overwhelming workload, spending hours reading and interpreting thousands of narrative medical imaging reports. With rising demand, manual reporting often leads to
Empowering Healthcare with Gen AI: 8 Real-World Use Cases Changing Medicine
Imagine walking into a hospital where your doctor can instantly pull up a personalized summary of your entire medical history, explain your MRI in plain
What is Speech-To-Text Technology and How Does it Works in Automatic Speech Recognition
Automatic speech recognition (ASR) has come a long way. Though it was invented long ago, it was hardly ever used by anyone. However, time and
Building Domain-Specific LLMs: Precision AI for Every Industry
Imagine hiring a new employee. One candidate is a “jack of all trades”—knows a little bit about everything, but not in depth. The other has
How to Collect High-Quality Audio Data for Automatic Speech Recognition
Accurate ASR (Automatic Speech Recognition) starts with the right data—not “more” data. Your collection plan should mirror how real users speak: accents and dialects, background
Rethinking AI Vendor Trust: Why Ethical Partnerships Matter
Trust has always been the invisible currency of business relationships. In the world of AI, however, that trust feels even more fragile—because unlike a missed
Benefits Of Text to Speech Across Industries
Text-to-speech (TTS) technology is an innovative solution that converts written text into spoken words. It has become a game-changer in several industries and has revolutionized
Multimodal Conversations Dataset: The Backbone of Next-Gen AI
Imagine talking with a friend over a video call. You don’t just hear their words—you see their expressions, gestures, even the objects in their background.
Understanding Reasoning in Large Language Models
When most people think of large language models (LLMs), they imagine chatbots that answer questions or write text instantly. But beneath the surface lies a
NLP vs LLM: Differences Between Two Related Concepts
Language is complex—and so are the technologies we built to understand it. At the intersection of AI buzzwords, you’ll often see NLP and LLMs mentioned
ANI vs AGI vs ASI: Clear Differences Explained
If you’ve ever wondered whether ChatGPT is truly intelligent or when we’ll see a machine that can think like a human — welcome to the
What is EHR and Why It Matters: Benefits, Challenges, and the Future with AI?
EHRs Today and the Promise of AI Electronic Health Records (EHRs) were created to streamline healthcare delivery—centralizing patient information, improving care coordination, and supporting clinical
Shaip × Airtm: Solving Real-World Payment Challenges for Our Global Contributor Network
At Shaip, contributors aren’t just part of our workforce—they are at the heart of everything we do. Every labeled image, transcribed audio file, and segmented
What is Healthcare Training Data? A Complete Guide for AI and Machine Learning in Healthcare
Think about the last time you visited a doctor. Behind every diagnosis, prescription, or recommendation lies data—your vitals, your lab results, your medical history. Now
What is Audio Annotation? Types, Use Cases, Tools & Best Practices (2025 Guide)
The digital landscape of 2025 is powered by voice-driven AI—from advanced virtual assistants to real-time translation and accessibility tools. At the core of this technology
AI vs ML vs LLM vs Generative AI: What’s the Difference and Why It Matters
In today’s AI-driven world, buzzwords like AI, Machine Learning (ML), Large Language Models (LLMs), and Generative AI are everywhere—but often misunderstood. They’re used interchangeably, though
What is Fine-Tuning for Large Language Models? Applications, Methods, and Future Trends
Large language models like GPT-4 and Claude have revolutionized AI adoption, but general-purpose models often fall short when it comes to domain-specific tasks. They’re powerful,
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