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Problems.

Write the piece, drive the whole agent loop, or repair a repo by prompting a coding agent. Most are graded against a real model, because that is what you will ship against.

0 of 85 solved

Show me at , . 12 matches

  1. 04Calculate Embedding SimilarityimplementnumpyL02easy
  2. 05Build Top-K Semantic SearchimplementnumpyL02easy
  3. 06Generate Embeddings with Hugging FaceimplementpytorchL02medium
  4. 07Build a Document ChunkerimplementstdlibL02easy
  5. 24Measure Retrieval with Recall@k and MRRimplementnumpyL02medium
  6. 37Rerank the Retrieved Chunksimplement · liveagent · liveL02medium
  7. 40Build BM25 From ScratchimplementstdlibL02medium
  8. 47Fuse BM25 and Dense Search With RRFimplementstdlibL02medium
  9. 72Search by Meaning, Not by Wordsimplement · liveagent · liveL02medium
  10. 73Rerank With a Model That Understands the Questionimplement · liveagent · liveL02medium
  11. 75Rewrite the Query Before You Searchimplement · liveagent · liveL02medium
  12. 76Filter by Metadata Before You Rankimplement · liveagent · liveL02medium
12 of 85 problems