Tag: AI
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7 Support Mistakes That Cost You Sales (And How AI Fixes Them)
Customer support matters more today because buying decisions depend heavily on how quickly and clearly issues get resolved. Many businesses still see support as something to think about only after making a sale. When customer support is slow or confusing, customers lose patience quickly. This leads directly to fewer sales, customers abandoning purchases, and damage…
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Vibe Marketing Explained: Real Examples, Tools, and How to Build Your Stack
You’ve seen it on X, heard it on podcasts, maybe even scrolled past a LinkedIn post calling it the future—“Vibe Marketing.” Yes, the term is everywhere. But beneath the noise, there’s a real shift happening. Vibe Marketing is how today’s AI-native teams run fast, test more, and get results without relying on bloated processes or…
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What is a Vector Database & How it Works?
If you’ve ever wondered how YouTube plays the exact video or music you want to watch-listen, or how a chatbot instantly finds the right answer—it’s because of something called a vector database. You’ve probably heard terms like “embeddings,” “semantic search,” or “vector stores” in the recent years. They can sound technical, but the basic idea…
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Mastering Prompt Engineering: A Guide for Everyone
Large Language Models (LLMs) are no longer experimental or limited to research labs. They’re now embedded in products, powering customer service agents, writing assistants, data extraction systems, and even legal or financial workflows. But here’s what separates impressive from average: prompt engineering. Despite what it looks like on the surface, prompting isn’t just about asking…
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What is CSAT? Tips to Improve CSAT using AI Chatbot
Customer satisfaction shows how well your business meets user expectations. CSAT (Customer Satisfaction Score) is widely used, but the way most businesses collect it—through delayed surveys—misses key moments that shape how users actually feel. What really affects satisfaction is the experience itself: how fast users get help, how the interaction ends, and whether the result…
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Generative AI: What is it and How Does it Work?
Generative AI is being adopted across many sectors as a way to simplify common tasks — such as generating emails, writing code, assisting with design, or improving customer responses. These AI systems can generate everything from text and code to images and audio. They learn from huge amounts of data. Earlier AI mostly analysed or…
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Crypto AI Agent in 2025: How Web3 Platforms Are Automating Growth
Crypto companies deal with high volumes of data, constant user interactions, and fast-changing regulations. Managing this at scale is difficult with just manual processes. AI agents help by automating repetitive tasks, handling routine support queries, and improving how information is processed and used across the organisation. They reduce workload, improve response times, and bring more…
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How To Hack Large Language Models (LLM)
Large Language Models (LLMs) are increasingly used in different types of applications but they present several security risks. As their integration into daily technology grows, it is crucial to understand their vulnerabilities to protect users and systems. Hackers are finding ways to exploit these models, including hidden prompt injections and manipulation of training data. These…
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What is Chain of Thoughts? How it works?
Chain of Thought (CoT) prompting is a technique in artificial intelligence (AI) reasoning that is gaining widespread recognition. It enables AI to solve complex tasks by breaking them down into smaller, logical steps. Instead of delivering an answer directly, models following CoT prompting provide a more thoughtful and transparent solution process, similar to how we…
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Human-in-the-Loop (HITL) AI: What It Is, Why It Matters, and How It Works
Human-in-the-Loop (HITL) brings human oversight into key stages of the AI lifecycle, improving model accuracy and enabling AI to handle complex, real-world scenarios. By combining human judgment HITL addresses common issues in AI systems, such as errors and biases, which can significantly impact outcomes. In sensitive sectors, HITL is essential to ensuring both accuracy and…