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Long Document Summarizer

genaiBeginner365d access
₹99onwards

Summarize documents that exceed the context window using chunking and map-reduce patterns. Handle PDFs, articles, and reports of any length intelligently.

  • Ingest documents from multiple input types: pasted text, .txt files, and PDFs
  • Implement map-reduce summarization to handle arbitrarily long documents
  • Control output structure using prompt instructions (bullets, Q&A, executive summary)
  • Estimate and display approximate API cost per operation
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Prompt Engineering Lab

genaiBeginner365d access
₹99onwards

Run the same query through 3 different prompt templates and score outputs by quality. Build a systematic prompt testing and iteration tool — the skill every AI engineer needs.

  • Design and compare multiple prompt templates for the same task systematically
  • Use concurrent API calls to run prompt variants in parallel
  • Build a scoring system to quantitatively evaluate prompt quality
  • Identify which prompt patterns (chain-of-thought, few-shot, direct) work best for different query types
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Chat with Your PDF

genaiBeginner365d access
₹99onwards

Upload a PDF, ask questions about it, get accurate answers. Build your first RAG pipeline end-to-end — chunking, embedding, vector storage, and retrieval.

  • Chunk documents into overlapping segments for effective retrieval
  • Generate and store vector embeddings using OpenAI's Embeddings API
  • Build and query a FAISS vector index for similarity search
  • Create a RetrievalQA chain that grounds answers in document content
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