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The core idea behind Chain of Thought (CoT) is to encourage an AI model to reason step by step before producing an answer. While the concept itself is not new and is essentially a structured way of asking models to explain their reasoning, it remains highly relevant today. Interest in CoT increased again after OpenAI […]
More machine learning systems now rely on AI agents, which makes careful safety evaluation essential. With more and more vulnerabilities coming to the fray, it’s nigh impossible for a single unified protocol to stay up to date with them all. This piece introduces MLflow as a practical framework for testing and monitoring agentic systems through
Track and Monitor AI Agents Using MLflow: Complete Guide for Agentic Systems Read More »
Obtaining the text in a messy PDF file is more problematic than it is helpful. The problem does not lie in the ability to transform pixels into text, but rather, in maintaining the structure of the document. Tables, headings, and images should be in the right sequence. When using Mistral OCR 3, it is no
When I first started as a data scientist, there was a gap. I met with dozens of organizations who would invest time and resources into building accurate and tuned models and then ask, “What now?” They had a fantastic model in hand but couldn’t get it into a place and […] The post There is
Coding experts tend to use 30-40% of their time only for comprehending the already existing code. These are two entire working days every week that are wasted on going through obsolete documentation, understanding ambiguous code, and desperately searching for developers who quit months ago. On the November 2025, Google presented a remedy: Code Wiki, an
Google Code Wiki: Live Docs, Diagrams & Chat for Any GitHub Repo Read More »
The world’s largest shadow library—which is increasingly funded by AI developers—shocked the Internet this weekend by announcing it had “backed up Spotify” and started distributing 300 terabytes of metadata and music files in bulk torrents. According to Anna’s Archive, the data grab represents more than 99 percent of listens on Spotify, making it “the largest
World’s largest shadow library made a 300TB copy of Spotify’s most streamed songs Read More »
The average human IQ is 100. Statistical fact – not an insult. For decades, that number has quietly defined what we meant by “normal intelligence.” But in 2025, something strange is happening. Machines with no consciousness, no emotions, and no lived experience are now scoring higher than humans on the very tests designed to measure
IQ of AI: 15+ AI Models That are Smarter Than You Read More »
Every few months, the AI world reshuffles its deck, and as we stand at the end of 2025, we already have a brand-new leaderboard. Models are getting sharper, faster, and strangely more “human,” making it harder for developers to ignore how much these systems now shape modern web experiences. So instead of guessing which models
The race for the “best AI model” goes on, as Z.ai is the latest one to mark its entry with a new and evolved model. Calling it the GLM-4.6V, Z.ai has focused on visual cues and representation with this one. And hence the “V” at the end of its name that resembles the existing flagship
Large Language Models (LLMs) are the heart of Agentic systems and RAG systems. And building with LLMs is exciting until the scale makes them expensive. There is always a tradeoff for cost vs quality, but in this article we will explore the 10 best ways according to me that can slash costs for the LLM
10 Ways to Slash Inference Costs with OpenAI LLMs Read More »
