Shaip Blogs

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What is Longitudinal Patient Data? Exploring Its Impact and Challenges in Healthcare

ai, AI (Artificial Intelligence), Artificial Intelligence, Healthcare AI, Shaip Blogs

Precision healthcare stems from precise diagnosis. Since allopathy is evidence-based, this precision boils down to the most accurate and up-to-date recording of symptoms and any minute data that could aid in strengthening the diagnosis. Such data and inferences were earlier recorded and managed in paper-based files stored offline. Digitization paved the way for EHR data […]

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What is Anti-Spoofing and Its Techniques for Liveness Detection in Face Recognition?

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer vision, Face Recognition, Shaip Blogs

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, the likelihood of spoofing attacks rises, whereby imposters use artificial biometric inputs to bypass face recognition systems. Anti-spoofing technologies have emerged as the most effective remedy to this problem by

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Top NLP Trends to Look After in 2025

ai, AI (Artificial Intelligence), Artificial Intelligence, NLP, NLP(Natural Language Processing), Shaip Blogs

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 machines can interact with and understand human language. This is a huge deal, especially in regions like India, where there are 20+ official languages and 19,000+ dialects. By leveraging NLP,

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What are the Top Multimodal AI Applications and Use Cases?

ai, AI (Artificial Intelligence), Artificial Intelligence, Generative AI, Large Language Models, LLM, Shaip Blogs

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 a given scene. In this sense, the approach is distinct from older models which focus only on one type of data. Mixing different streams of data provides multimodal AI with

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What is RAFT? RAG + Fine-Tuning

ai, AI (Artificial Intelligence), Artificial Intelligence, Generative AI, Large Language Models, LLM, Shaip Blogs

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 a large language model for specific applications in that particular domain. It allows the large language models to provide more accurate, contextually relevant, and robust results, especially for targeted sectors

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What are Large Multimodal Models (LMMs)?

ai, AI (Artificial Intelligence), Artificial Intelligence, Large Language Models, LLM, Shaip Blogs

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, images, or audio, LMMs are capable of creating and processing multiple modalities simultaneously. Hence the generation of outputs with context-aware multimedia information. The purpose of this article is to unravel

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What is ASR (Automatic Speech Recognition): Everything a Beginner Needs to Know (in 2025)

ai, AI (Artificial Intelligence), Artificial Intelligence, Shaip Blogs, Speech Recognition

Automatic Speech Recognition technology has been there for a long haul but recently gained prominence after its use became prevalent in various smartphone applications like Siri and Alexa. These AI-based smartphone applications have illustrated the power of ASR in simplifying everyday tasks for all of us. In the past decade, commercial ASR systems have become

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Optimizing RAG with Better Data and Prompts

ai, AI (Artificial Intelligence), Artificial Intelligence, Large Language Models, LLM, Shaip Blogs

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 given AI-driven system to produce contextual outputs that are accurate, relevant, and enriched by data, thereby giving them an edge over pure LLMs. RAG optimization is a holistic approach that

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RAG vs. Fine-Tuning: Which One Suits Your LLM?

ai, AI (Artificial Intelligence), Artificial Intelligence, Large Language Models, LLM, RAG, Shaip Blogs

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. However, adapting these models for specific needs usually means choosing between two powerful techniques: Retrieval-Augmented Generation (RAG) and fine-tuning. While both these approaches enhance LLMs, they are articulate towards different

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What Are Multimodal Large Language Models? Applications, Challenges, and How They Work

ai, AI (Artificial Intelligence), Artificial Intelligence, Healthcare AI, Large Language Models, LLM, Shaip Blogs

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 you should but for some reason, if you can’t, you can use Multimodal Large Language Models (MLLMs) which will process your x-ray scan and tell you precisely what injuries you

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