Add WFGY ProblemMap as RAG / LLM debugging resource

[onestardao]

Hi, and thanks for maintaining this great deep learning for NLP resource list.

This PR adds a single entry under the Language Modeling section:

• WFGY ProblemMap: RAG and LLM failure map – an MIT-licensed semantic firewall and 16-problem RAG / LLM pipeline failure taxonomy for debugging retrieval, ranking, hallucinations, and evaluation gaps in modern NLP systems.

Why it’s relevant

• The list already covers the evolution of language modeling up to large language models (e.g. GPT-2).
• Many people now use these models in RAG / LLM applications, where the main problems are not just model architecture, but pipeline design and failure modes.
• WFGY ProblemMap is a focused, practical reference that helps developers:
  • identify common RAG / LLM failure patterns (data ingestion, embeddings, vector stores, retrievers, routing, evaluation),
  • reason about why a system fails even when the underlying model is strong,
  • and systematically debug production NLP / LLM pipelines.

The change is minimal and keeps the existing structure and ordering intact. Only one new link is added under the Language Modeling section.

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