Shaip Blog
Know the latest insights and solutions that drive Artificial Intelligence & Machine Learning Technologies.
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
What Is Sociophonetics and Why It Matters for AI
You’ve probably had this experience: a voice assistant understands your friend perfectly, but struggles with your accent, or with your parents’ way of speaking. Same
Agentic AI vs Generative AI: How to Choose the Right Intelligence for Your Enterprise
If 2023 was the year of generative AI, 2025 is quickly becoming the year of agentic AI. Generative models can write emails, draft code, or
LLM Benchmarking, Reimagined: Put Human Judgment Back In
If you only look at automated scores, most LLMs seem great—until they write something subtly wrong, risky, or off-tone. That’s the gap between what static
Multimodal AI: Real-World Use Cases, Limits & What You Need
If you’ve ever explained a vacation using photos, a voice note, and a quick sketch, you already get multimodal AI: systems that learn from and
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
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