Guided path · intermediate
Newly Discovered Topics
Modules proposed by the monthly discovery run and approved by the owner, gathered here as each one is published.
2 modules75 minutesEmerging Practice badge
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- 0140 min · intermediateEmbeddings and vector storesThis intermediate module teaches you to design an embedding-based retrieval workflow, choose between exact and approximate search, and evaluate whether retrieved records are useful. After completing it, you can describe and troubleshoot the path from source content to vectors, stored records, similarity search, and retrieved context.Begin →
- 0235 min · intermediateFine-tuning, adapters, distillation, and when not to trainThis intermediate module enables learners to distinguish full fine-tuning, adapter-based training, and distillation, then decide whether training is appropriate for a specific model requirement. After completing it, learners can select an approach, explain the trade-offs, and design a baseline evaluation before committing training resources.Begin →