From 83f3f03693053881f4a594df054e9df8b26ce4c2 Mon Sep 17 00:00:00 2001 From: PAE Date: Sat, 2 May 2026 00:39:45 +0000 Subject: [PATCH] index: add proposal {task.id} to proposal index --- deliverables/proposals/index.md | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/deliverables/proposals/index.md b/deliverables/proposals/index.md index 43d3bd7..d2c5d76 100644 --- a/deliverables/proposals/index.md +++ b/deliverables/proposals/index.md @@ -66,4 +66,13 @@ Summary: Proposal for the Foreman Probe project, which seeks to establish a stan --- ### Crimson Leaf Holdings -- Task f0a94bda-972c-4d26-9a54-5a9343ff93c5 -Date: 2026-04-29 \ No newline at end of file +Date: 2026-04-29 +Status: AWAITING DAVID'S APPROVAL +Summary: Proposal to enhance the Foreman Probe project by incorporating adaptive learning mechanisms and real-time task generation. Aims to fill the gap in continuously evolving LLM evaluation methods. This proposal moves beyond static task generation by leveraging dynamic and adaptive elements, thus offering a more rigorous and scalable assessment environment for future LLM advancements. Distinguishes from previous models through its emphasis on continuous adaptability and iterative learning. + +--- + +### Crimson Leaf Holdings -- Task 91e70062-b06f-4d8a-8053-9e6fe4779955 +Date: 2026-04-29 +Status: AWAITING DAVID'S APPROVAL +Summary: Proposal for the Foreman Probe project introducing a task distillation pipeline that extracts and refines probe tasks from Foreman's operational logs for LLM benchmarking. This fills the gap in utilizing historical Foreman data to create authentic, real-world probe tasks that capture nuanced task complexities. It differs from prior proposals by employing log-based distillation techniques for superior realism, scalability, and direct linkage to Foreman's actual task generation history, beyond mere simulation or templating. \ No newline at end of file