AI & Machine Learning Research & Digital Thoughts
Welcome to my neural network where I explore the frontiers of artificial intelligence. From paper dissections to practical experiments, join me in decoding the future of AI.
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Selected posts on LLM, generative-ai, machine-learning, deep-learning and neural-networks
Understanding Search: From Keywords to Knowledge Graphs
A technical deep dive into how search evolved from keyword indexes to semantic vectors to GraphRAG systems—and why restoring structure is the key to the future of search.
My VS Code Gained a Superpower- Taming LangChain with Live Context
A story of how a simple, open-source tool called Fetch MCP bridged the gap between my IDE and the latest documentation, revolutionizing my AI development workflow with practical code examples.
Understanding Transformer Architecture: A Deep Dive into Attention Mechanisms
A comprehensive analysis of the Transformer architecture, exploring self-attention mechanisms, positional encoding, and their impact on modern NLP.
Gradient Descent Optimization: From SGD to Adam
A comprehensive exploration of gradient descent optimization algorithms, comparing SGD, Momentum, RMSprop, and Adam with mathematical insights and practical implementations.
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Posts from the past 3 months
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