ML4LM — Fine-Tune Smarter, Not Harder: Discover LoRA for LLMsWhen fine-tuning a Large Language Model (LLM), instead of adjusting all the original weights, we can train a smaller set of new weights…Nov 15Nov 15
ML4LM — Mastering Anomaly Detection in Production: When to use and when not to useProblem: Detecting Anomalies in DataNov 7Nov 7
ML4LM-Content Based Recommendation SystemsUnderstanding Content-Based Recommendation SystemsSep 16Sep 16
ML4LM — MLE vs Bayesian intuitive Insights, No Math!Maximum Likelihood Estimation (MLE): Relying on Observed DataMar 5Mar 5
ML4LM- How does Lasso bring sparsity?Many of us have heard about Lasso and its ability to bring sparsity to models, but not everyone understands the nitty-gritty of how it…Dec 25, 2023Dec 25, 2023
ML4LM — What are Derivatives?“Back in my school days up to the 10th grade, I had a genuine love for math. Whether it was tackling geometry, diving into trigonometry…Dec 22, 20231Dec 22, 20231
ML4LM-Feature Scaling- NormalizationEver wondered how data gets its makeover before revealing its insights? Enter the battleground of data refinement, where normalization and…Nov 28, 2023Nov 28, 2023
ML4LM— Cleaning the DataCleaning data for Machine learning is like preparing for a road trip where your model is the driver, and your data is the map. However, the…Nov 25, 2023Nov 25, 2023
