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Explorer Hub
TriWei AI
Learn AI with focused topics, practical experiments, and repeatable guides.
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Experiments
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Guides
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Featured Experiment
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LoRA Fine-Tuning Baseline
This experiment establishes a baseline LoRA fine-tuning workflow for a small instruction model, with emphasis on repeatability and evaluation quality.
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Diffusion Models
Core ideas behind denoising-based image generation.
Embeddings
Vector representations used for semantic search and retrieval.
Inference
Serving and runtime concerns after model training.
Transformers
Attention-based architecture behind most modern language models.
Latest Notes
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Prompt Debugging Notes
Small prompt edits can create large behavior changes, so I now debug prompts with a fixed checklist.
Read MoreModel Eval Checklist
Before shipping any workflow update, I run a lightweight evaluation pass to prevent regressions.
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