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  1. Home
  2. /Repositories
  3. /kennethleungty/Finance-LLMs
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 15d ago

kennethleungty/Finance-LLMs

Comprehensive Compilation of Real-World LLM & AI Agent Use Cases in Financial Services

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 52%Show HN: On-chain bond market where the issuers are AI agents →
  • PossiblePossibly related (embedding) · 52%JPLoft Recognized as a Trusted LLM Development Company for Enterprise AI - The National Law Review →
  • PossiblePossibly related (embedding) · 49%Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers →
  • PossiblePossibly related (embedding) · 50%Thomson Reuters Launches Thomson, Its Own Proprietary LLM Trained on Westlaw and Practical Law Content - LawSites →
  • PossiblePossibly related (embedding) · 47%New Study Reveals Widespread Use of Problematic Epistemologies (Knowledge Production Functions) in LLMs and Agentic AI - Morningstar →
  • PossiblePossibly related (embedding) · 62%AI and Lenders: Who’s Liable if LLMs Err? - Global Finance Magazine →
  • PossiblePossibly related (embedding) · 45%The Economics and Engineering of On-Premises LLMs - Communications of the ACM →

Covers

newsShow HN: On-chain bond market where the issuers are AI agentsnewsJPLoft Recognized as a Trusted LLM Development Company for Enterprise AI - The National Law ReviewnewsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers

Covers (incoming)

newsThomson Reuters Launches Thomson, Its Own Proprietary LLM Trained on Westlaw and Practical Law Content - LawSitesnewsNew Study Reveals Widespread Use of Problematic Epistemologies (Knowledge Production Functions) in LLMs and Agentic AI - MorningstarnewsAI and Lenders: Who’s Liable if LLMs Err? - Global Finance MagazinenewsThe Economics and Engineering of On-Premises LLMs - Communications of the ACM

Related across the graph

newsAI and Lenders: Who’s Liable if LLMs Err? - Global Finance MagazinenewsJPLoft Recognized as a Trusted LLM Development Company for Enterprise AI - The National Law ReviewnewsShow HN: On-chain bond market where the issuers are AI agentsnewsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routersnewsThomson Reuters Launches Thomson, Its Own Proprietary LLM Trained on Westlaw and Practical Law Content - LawSitesnewsThe Economics and Engineering of On-Premises LLMs - Communications of the ACMnewsNew Study Reveals Widespread Use of Problematic Epistemologies (Knowledge Production Functions) in LLMs and Agentic AI - Morningstar
Knowledge path·NAI and Lenders: Who’s Liable if LLMs Err? - Global Finance Magazine→NJPLoft Recognized as a Trusted LLM Development Company for Enterprise AI - The National Law Review→NShow HN: On-chain bond market where the issuers are AI agents→Rkennethleungty/Finance-LLMs

Topics

artificial-intelligencebankingbloomberggptdeep-learningdomain-specific-modelsfinancefinance-llmfinance-llmsfinancial-servicesfine-tuning

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Graph trust82Primary
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