AI Fundamentals Course Schedule
A two-day course schedule covering AI fundamentals, including machine learning basics, ethics discussions, and hands-on activities for each session.
ClaudeArtifact
#machine-learning
7 conversations with this tag.
Chasing a phantom padding bug through a C++ tokenizer
A long hunt for pad tokens appearing at the start of every chunk, ending in a switch to left-padding so the last token lands where embeddings want it.
Claude
Checking Moebius's code and weights, then porting to WebGPU
The user pressure-tests an AI model's README claims about released weights, then gets a sharp technical case for porting it to run in a browser.
Claude
Data Analytics Lab Viva Questions - Answers
A study sheet of short answers for a data analytics lab exam, covering ANOVA, regression, correlation, and plotting in R and MATLAB across ten experiments.
ClaudeArtifact
Pricing out Colab compute units while fine-tuning a rare language
A practical back-and-forth on what Colab compute units cost, then how many LoRA epochs and what rank to use when fine-tuning an LLM on an obscure language.
Claude
Tracing runaway memory in C++ to an ONNX arena allocator
A developer watches memory climb on every embeddings call; the diagnosis finds no classic leak but two structural causes, and lands on a two-line fix.
Claude★ Editor’s pick
Untangling How BLIP-2 Matches Images to Text Queries
A patient back-and-forth unpacks how BLIP-2's joint image-text embeddings work, then traces the idea's evolution through 2024 vision-language research.
Claude