ML4LM — Profiling torch.compile on DenseNet-121 Inference (GTX 1650)IntroductionSep 11A clap icon81Sep 11A clap icon81
ML4LM — Guards vs Graph Breaks in PyTorch: What You Need to KnowGuards vs Graph Breaks in PyTorch torch.compileAug 24Aug 24
ML4LM — A tiny Triton primer (toy example)This is a toy example to help you understand Triton programming. I assume you can set up Triton by yourself since you’re here.Aug 23A clap icon50Aug 23A clap icon50
ML4LM — PyTorch — What Not to Do in PyTorch Models for Better Performance (dynamo)With PyTorch 2.0+, torch.compile can make your models faster by capturing them as graphs and optimizing them.Aug 17Aug 17
Knowledge Distillation at a Low LevelWe’ve all heard about knowledge distillation and how it helps in making models smaller by sacrificing a bit of performance. Essentially, it…Jan 24A clap icon100A response icon1Jan 24A clap icon100A response icon1
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 15, 2024A clap icon56Nov 15, 2024A clap icon56
ML4LM — Mastering Anomaly Detection in Production: When to use and when not to useProblem: Detecting Anomalies in DataNov 6, 2024A clap icon83Nov 6, 2024A clap icon83
ML4LM-Content Based Recommendation SystemsUnderstanding Content-Based Recommendation SystemsSep 16, 2024Sep 16, 2024
Making sense of Bellman Equation — RL — ML4LMIntroductionApr 15, 2024A clap icon10A response icon1Apr 15, 2024A clap icon10A response icon1
ML4LM — MLE vs Bayesian intuitive Insights, No Math!Maximum Likelihood Estimation (MLE): Relying on Observed DataMar 4, 2024A clap icon106Mar 4, 2024A clap icon106
ML4LM - Vanishing Gradient Problem?Jan 1, 2024A clap icon104A response icon2Jan 1, 2024A clap icon104A response icon2
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 24, 2023A clap icon50Dec 24, 2023A clap icon50
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 21, 2023A clap icon66A response icon1Dec 21, 2023A clap icon66A response icon1
ML4LM-Feature Scaling- NormalizationEver wondered how data gets its makeover before revealing its insights? Enter the battleground of data refinement, where normalization and…Nov 27, 2023A clap icon60Nov 27, 2023A clap icon60
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 24, 2023A clap icon54Nov 24, 2023A clap icon54
