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QUOCTHINH05/nlp-banking-agentic

Assignment 3, build a Banking AI Agentic reponse to customers' queries using microservices

⚡ AI使用 Python GitHub ↗
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SUMMARY AI要約 by gpt-5-mini

A student project implementing a simple agentic AI workflow for banking customer support. It accepts a customer message, runs intent detection (fine-tuned model served via a gRPC intent service), assesses priority, retrieves relevant policy text, drafts a reply using an LLM (gpt-oss:20b via Ollama), validates the draft (length, confidence, error checks) and routes the outcome to send, request more info, or escalate to a human. Intended users: students, developers or researchers prototyping dialog/workflow agents for banking support or coursework. Key features: modular node-based pipeline (intent, priority, policy, drafting, validation, router), orchestrator, Ollama client, gRPC intent service, sample requests, and step-by-step run instructions (uses Google Colab, Pinggy tunneling; large model weights hosted on Drive).

DETECTED 検出されたAIスタック

このRepoのdescription / GitHub topics / READMEのAI要約に出現したAI関連キーワードをカテゴリ別に表示。各バッジは該当カテゴリの詳細ランキングへリンクします。

🧠 LLMプロバイダー (1)
Ollama
🤖 LLMモデル (1)
Llama

使用言語(バイト数比)

Python
100%

オーナー情報

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QUOCTHINH05
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User
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I'm a student at University of Science. I have interest in Web, Data Science and AI.

日付

GitHub作成日 2026-05-09
最終Push 2026-05-09
当サイト初検出 2026-05-09
最終取得 2026-05-09 18:15

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