PinnedInTowards AIbyAlex Punnen·Feb 14, 2025Explaining Transformers as Simple as Possible through a Small Language ModelAnd understanding Vector Transformations and VectorizationsA response icon15A response icon15
PinnedInBetter MLbyAlex Punnen·Sep 4, 2023Exploring Large Language ModelsLanguage Understanding, Task Generalization, Causal Reasoning, Explainability/Hallucinations, Quantisation, Fine-Tuning via Instruct…
PinnedInBetter SoftwarebyAlex Punnen·Apr 25, 2019Optimizing any TensorFlow model using TensorFlow Transform Tools and using TensorRTModel Optimization and reducing precision from FP32 to FP 16 for speedup and reducing graph size.A response icon3A response icon3
PinnedAlex Punnen·Feb 26, 2022Backpropagation Deep DiveBack Propagation with Softmax output and CrossEntropy Loss
PinnedInBetter SoftwarebyAlex Punnen·Jul 4, 2022From Data Warehouse to Data Lake to Data LakehouseWhat’s for what, what you need, and what are the advantages and limitationsA response icon3A response icon3
InTowards AIbyAlex Punnen·1d agoThe AI SDLC Manifesto: Rethinking AI native Software DevelopmentHow Specification-Driven Development and machine-consumable knowledge can reshape software delivery
InTowards AIbyAlex Punnen·May 15Why Specification-Driven Development (SDD) is Not a Silver Bullet for AI-Assisted SDLCUsing a popular SDD GitHub Spec Kit and a real-world feature experimentA response icon13A response icon13
InTowards AIbyAlex Punnen·Apr 12Fine Tuning an LLM is Educational But not Very Useful Still for Knowledge IngestionExperience with Gemma 4 and other models