Was asked RAG embedding azure
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how can we mitigate overfitting?
Train classification CNN and evaluate the results.
What are different types of chunking Strategies in RAG , and questions regarding Apache spark
Que connaissez vous de la matmut ?
Tell me about your experience so far
(Regarding: Python, SQL, LangGraph, and Sia GPT) For Python and SQL, I highlighted my experience building scalable backend services and optimizing database retrieval. When discussing LangGraph and agentic workflows, I explained my approach to designing deterministic state machines to ensure autonomous agents execute tasks reliably without falling into infinite loops. Regarding Sia GPT and enterprise AI, I drew direct parallels to my own RAG implementations. I explained how I previously indexed over 100,000 complex legal documents using FAISS and fine-tuned open-source models with LoRA to ensure the AI provided secure, strictly traceable, and hallucination-free answers—which is exactly the kind of business-centric reliability required for enterprise consulting
i had published my research, so the recruiter asked my approach to solve the problem, etc.
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