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Continue reading →: From Tedious Chore to Instant Win: Rethinking Automation for Everyday Tasks
That mind-numbing form I faced today turned into an unexpected experiment in stress-free automation. What should have been another “just punch it out” chore revealed how accessible, fast, and surprisingly satisfying automating everyday tasks can be. Rather than falling back on manual grind, a simple setup and a few smart…
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Continue reading →: Jupyter Notebooks in Cursor: The Fast Lane for Iterative Coding and LearningDiscover seamless code exploration—and what to expect—when using Jupyter workflows inside Cursor When I first stumbled upon Jupyter Notebook support in Cursor, it was hard to get genuinely excited—my early attempts were honestly pretty clunky. Editing .ipynb files felt unreliable, and the workflow didn’t quite “click” the way a true…
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Continue reading →: Why AI’s Biggest Leap This Month Isn’t About Model SizeYou know those weeks when you glance at the AI headlines and think, “Okay, that’s neat, but it’ll be years before we feel it on the ground?” Then something drops that makes you double-take. That’s exactly how the Samsung Tiny Recursive Model (TRM) news hit me. And just as I…
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Continue reading →: Building Intelligent Agents with LangGraph and MongoDB: A Deep Dive into Vector-Powered Tool DiscoveryWhen building AI agents, one of the biggest challenges is tool selection—especially as the number of available tools increases. Evidence from OpenAI’s developer community and technical documentation highlights that agents’ tool selection accuracy tends to drop noticeably with larger toolsets, sometimes causing irrelevant or random tools to be invoked even…
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Continue reading →: Getting Started with Databricks LLM Chatbot with RAG and Vector Search DemoIntroduction I recently setup and have been playing around with the “Deploy LLM Chatbots with RAG and Databricks Vector Search” demo from Databricks. While not a complete step-by-step guide, this article offers insights into what to expect, the necessary steps, how to fix issues that may arise, and how to…
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Continue reading →: Enterprise Ready Production Gen AI with DatabricksThe Rise of Private Generative AI and the Need for Enterprise Tools As the potential of Generative AI becomes increasingly apparent, more and more organizations are looking to harness its power for their specific use cases. However, deploying AI models in a private, secure, and compliant manner presents significant challenges.…
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Continue reading →: Achieving My Desired Outcome by Leveraging AII recently conducted a poll on LinkedIn, asking how often people use AI in their daily lives. The results were interesting, but what struck me the most was the response rate. Out of over 700+ impressions, only 17 people responded. This got me thinking – is it that people don’t…
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Continue reading →: Insights from My Deep Learning JourneyRecently, three owls decided to make their home in our garden. It’s been a hoot (sorry, had to) getting to know these fascinating creatures. My fascination with them sparked the idea for my first ever machine learning application. I had spent the last month or so working my way though…
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Continue reading →: Exploring Options: RAG vs Fine-TuningRetrieval-Augmented Generation (RAG) seems to be the new cool thing in the fast-changing world of generative AI, especially in language models. I’ve been really getting into LlamaIndex lately, and I’ve noticed that sometimes the answers my apps give aren’t as good as I’d like. Is it because of how I…
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Continue reading →: AI & ML Unleashed: Let’s Dive InHey there, tech explorers! Welcome to the wild world of AI and Machine Learning – where algorithms rule, data talks, and the future is now! 🚀💻 Join me on this exciting journey as we unravel the mysteries of AI and ML. From self-driving cars to personalized recommendations, we’ll explore the…
