Jan 20 · 3 min read · Introduction to AI Hallucinations What happens when the line between reality and fantasy blurs in the legal world? In 2025, we saw a stark reminder of the dangers of relying on unchecked AI in legal proceedings. The case of Mata v. Avianca led to a s...
Join discussionJan 19 · 5 min read · The Evolution of AI Risk: From Curiosity to Liability The early years of the AI boom were defined by a mix of wonder and wariness. While Large Language Models (LLMs) showcased an uncanny ability to mimic human prose, they also introduced a dangerous ...
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Jan 18 · 6 min read · Imagine AI revolutionizing healthcare: assisting diagnoses, personalizing treatments, streamlining operations. This isn't fiction; it's the near future, driven by your expertise as a data scientist. However, a critical challenge looms: AI hallucinati...
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Dec 31, 2025 · 8 min read · Introduction: The "Goldfish" Problem in Super Smart AI Imagine you are watching a Bollywood movie like "Sholay". You spend hours following Jai and Veeru as they fight Gabbar, save the village, and become heroes. Then, you pause the movie and come bac...
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Dec 25, 2025 · 10 min read · How I identified a critical gap in one of Python's most popular LLM libraries and built two features to solve it. Introduction When I started exploring ways to contribute to open source, I wanted to find a project where I could make a real impact - ...
Join discussionNov 19, 2025 · 3 min read · Last week ended with me stuck in an endless debugging loop. This week? I fell right back into it. More ChatGPT suggestions. More circles. At some point, I had to stop and ask myself: What am I actually doing wrong? And the truth was that I wasn’t eve...
Join discussionOct 5, 2025 · 9 min read · How inference-time reasoning — Chain-of-Thought, ReAct, and Tree-of-Thoughts — is helping AI overcome its intuition and truly think. First thing First 🤔 Do LLMs Really Have “Intuition”? Strictly speaking — no, LLMs don’t have intuition or logic in t...
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Sep 21, 2025 · 3 min read · Chatbots sometimes provide answers that sound confident even when they are wrong. This phenomenon, known as the hallucination trap, occurs when models choose a guess over admitting uncertainty. In this post, we explain why this happens and what can b...
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Sep 15, 2025 · 5 min read · Having Chat GPT giving you completely-off-the-mark information is quite common and I am sure many of us have experienced that. This phenomenon is called “hallucinations“, defining instances where a model confidently produces a wrong answer to a reque...
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