Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

15 August 2024 - LLM Exploration Project / Project Management Call #18

Open
lucaborella89 opened this issue Aug 17, 2024 · 1 comment
Open

Comments

@lucaborella89
Copy link
Collaborator

lucaborella89 commented Aug 17, 2024

Meeting Minute

  • We recapped what was discussed in last week (technical) call and discussed the proposed flow of the OSFF Workshop (1st of October). It is worth using a modified-ORR diagram to illustrate all sessions together.
  1. Generate Synthetic CDM Data -> Provectus
  2. Map Credit Support Annexes with CDM -> ISDA
  3. Find Granular Obligations -> AI4FINANCE
  4. Generate Synthetic DRR Data (TBC) -> TradeHeader
    LLM Exploration Project __ CDM Use Case __ Based on ORR
  • We discussed how the 4 sessions will be demoed during the OSFF Workshop. Given the time constrains, each presenter (Provectus, ISDA, AI4FINANCE, TradeHeader) will use its own resources (i.e. login to own instances) to showcase / demo at OSFF.
  • We discussed the need to formalise the contribution processes around LLM Exploration Project. For the timebeing a quick fix is keep using this FINOS Labs repo till we don't have the regular GitHub at the level of other projects/sigs
  • We discussed the messaging for the workshop: "this is an example of what can be done with LLMs, for more use cases refer to the pre-OSFF London workshop https://www.finos.org/blog/finos-llm-exploration-use-case-identification"
@lucaborella89
Copy link
Collaborator Author

Sequence 1) Redline needs to be broken; user prompt is going to hit the graph (great for profiling CDM object) --> LLM --> CDM object as output (Ian to be confirmed). The graph and its architecture is needed for a) user experience (show me how you model the output of a credit swap); b) synthetic data maybe at a later stage.

Sequence 2) change the output of the LLM to be CDM legal agreement data, the work will potentially show how CSA map into CDM, how AI can be used to generate CDM (code) from CSAs

Sequence 3) will share an update soon

Sequence 4) will share an update soon

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant