MARCO is a MultiAgent Real-time Chat Orchestration framework for automating tasks using LLMs. MARCO addresses key challenges in utilizing LLMs for complex, multi-step task execution. It incorporates robust guardrails to steer LLM behavior, validate outputs, and recover from errors that stem from inconsistent output formatting, function and parameter hallucination, and lack of domain knowledge.
Information came from Srecko in Discord channel HS.data-daily-update at 2:04pm 27 June 2024.
This is the notes for paper "Which log variables significantly predict academic achievement? A systematic review and meta-analysis".
meeting summaries at 1:33pm 4 July 2024.Information came from Srecko in Discord channel HS.resources at 1:50pm 07 July 2024.
CausalPrism: A Visual Analytics Approach for Subgroup-based Causal Heterogeneity Exploration
| Types | Models |
|---|---|
| compensatory | 1. Deterministic Input noisy-or-gate model (DINO) 2. Additive CDM (A-CDM) |
| non-compensatory | 1. Deterministic Input noisy-and-gate model (DINA) 2. Reduced Reparameterized Unified Model (R-RUM) |
| general models | General DINA model (G-DINA) |
This article is copy the online paper content and make some notes for better understanding. Please Download PDF Paper here.
This article is copy the online paper content and make some notes for better understanding. Please Download PDF Paper here.
Cognitive diagnostic models (CDMs) or diagnostic classification models are a relatively newer psychometric framework for collecting, analyzing, and reporting diagnostic data.