mlsanityData to 7 Oct 2026

AI PB: A Grounded Generative Agent for Personalized Investment Insights

arXiv 2510.20099 ↗First posted 23 Oct 2025cs.AI cs.CE cs.CLcited by 0

On the map: LLM agents and tool use → Financial trading and forecasting agents

Abstract (arXiv)

We present AI PB, a production-scale generative agent deployed in real retail finance. Unlike reactive chatbots that answer queries passively, AI PB proactively generates grounded, compliant, and user-specific investment insights. It integrates (i) a component-based orchestration layer that deterministically routes between internal and external LLMs based on data sensitivity, (ii) a hybrid retrieval pipeline using OpenSearch and the finance-domain embedding model, and (iii) a multi-stage recommendation mechanism combining rule heuristics, sequential behavioral modeling, and contextual bandits. Operating fully on-premises under Korean financial regulations, the system employs Docker Swarm and vLLM across 24 X NVIDIA H100 GPUs. Through human QA and system metrics, we demonstrate that grounded generation with explicit routing and layered safety can deliver trustworthy AI insights in high-stakes finance.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Financial trading and forecasting agents, one of 16 directions in LLM agents and tool use. Builds on 8 of its 11 references that are in the map. First posted on arXiv 23 Oct 2025.

Builds on

8 of 11 references.

References · 8

  1. 2024The Llama 3 Herd of Modelscited by 14,192
  2. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  3. 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,767
  4. 2024HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusalcited by 1,330
  5. 2023Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Financecited by 7
  6. 2025Hybrid Retrieval for Hallucination Mitigation in Large Language Models: A Comparative Analysiscited by 5
  7. 2025A Practical Approach for Building Production-Grade Conversational Agents with Workflow Graphscited by 4
  8. 2025NMIXX: Domain-Adapted Neural Embeddings for Cross-Lingual eXploration of Financecited by 1

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2026Governing Generative AI Across Financial Institutions: A Framework for Generative AI Risk Control
  2. 2026FundaPod: A Multi-Persona Agent Pod Architecture with Knowledge Graph Memory for AI-Assisted Fundamental Investment Research
  3. 2025The Evolution of Alpha in Finance Harnessing Human Insight and LLM Agents
  4. 2025Are Generative AI Agents Effective Personalized Financial Advisors?
  5. 2024FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
  6. 2024QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model
  7. 2026Mint-Agent: Introducing Finance-Native Agentic Foundation Models
  8. 2026FrontierFinance: A Challenging Benchmark for Measuring Frontier Intelligence of Finance Agents