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  • Tool Construction - Elysia API
    Easy LLM calls with Elysia Chain of Thought An easy way to access attributes from the tree (if you are calling an LLM within the tool) is to use the custom ElysiaChainOfThought DSPy module with specific arguments
  • Enhancing Depression Diagnosis with Chain-of-Thought Prompting
    When using AI to detect signs of depressive disorder, AI models habitually draw preemptive conclusions We theorize that using chain-of-thought (CoT) prompting to evaluate Patient Health Questionnaire-8 (PHQ-8) scores will improve the accuracy of the scores determined by AI models
  • Elysia代码解析：elysia_chain_of_thought推理逻辑实现 - CSDN博客
    Elysia平台的核心推理能力由 elysia_chain_of_thought py 模块实现，该模块位于 elysia util elysia_chain_of_thought py。 本文将深入解析其推理逻辑架构、核心组件及实现细节，展示Elysia如何通过多智能体协作完成复杂任务推理。
  • Key Concept - ElysiaJS
    Although Elysia is a simple library, it has some key concepts that you need to understand to use it effectively This page will guide you through the key concepts of ElysiaJS
  • Cheat Sheet (Elysia by example) - ElysiaJS
    Here are a quick overview for a common Elysia patterns A simple hello world Define route using custom HTTP methods verbs See Route Using dynamic path parameter See Path Elysia converts response to JSON automatically See Handler A file can be return in as formdata response The response must be a 1-level deep object
  • Util - Elysia API
    class ElysiaChainOfThought(Module): """ A custom reasoning DSPy module that reasons step by step in order to predict the output of a task
  • Elysia: The Open-Source Python Framework Redefining Agentic RAG
    That’s where Elysia, the new open-source Python framework from Weaviate, comes in Built for Python 3 12, Elysia redefines how we think about RAG by combining decision trees, intelligent data displays, and context-aware retrieval
  • Table of Content - ElysiaJS
    There's no correct or organized way to learn Elysia, however, we recommended completing the essential chapter first as the chapter briefly covers most of Elysia's features and foundation before jumping to other topics that interest you
  • Enhancing Depression Diagnosis with Chain-of-Thought Prompting
    Our research aimed to determine and develop the accuracy of AI models in detecting symptoms of depression and assigning PHQ-8 scores with the use of chain of thought prompting and reasoning





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