chainofthought

There are 14 repositories under chainofthought topic.

  • shure-dev/Awesome-LLM-Papers-Comprehensive-Topics

    Awesome LLM Papers and repos on very comprehensive topics.

    19311720

  • arcmindai/arcmindai

    Arcmind Autonomous AI Agent powered by Dfinity's Internet Computer

    Language:Rust1150

  • nicolay-r/THOR-ECAC

    The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024)

    Language:Python10430

  • nicolay-r/Reasoning-for-Sentiment-Analysis-Framework

    The official code for CoT / ZSL reasoning framework 🧠, utilized in paper: "Large Language Models in Targeted Sentiment Analysis in Russian"

    Language:Python43101

  • danielenapo/emotional_GPT

    GPT natural-language user interface that fakes emotions and plans actions

    Language:Jupyter Notebook3110

  • EveryOneIsGross/ragTAG

    ragTAG is a conversational AI script that creates a roundtable dialogue between user assigned characters with their own different objectives and perspectives.

    Language:Python1201

  • fgtrzah/llmrfcpoc

    combating the llm fomo, feeding the shiny object syndrome, for folly and partially for curiousity

    Language:Python1200

  • james113001/homeworkmachine

    LLM model that aims to accurately solve calculations from expressions and word problems

    Language:Jupyter Notebook1200

  • RAGAV203/Auto-Agents

    This repository is a proof of concept for replicating the reasoning capabilities of OpenAI's O1 model using alternative frameworks. It employs a sequential agent-based system powered by the Gemini API, facilitating iterative problem-solving for coding-related challenges through a Flask web application.

    Language:Python1

  • felixchao/Vicuna-Chemical-Expert

    This is the repo for Vicuna Chemical Expert, which can help to solve some chemical questions.

    Language:Jupyter Notebook0100

  • Ji-eun-Kim/An-advancement-of-AutoRAG-pipeline

    AutoRAG을 활용한 고성능 RAG 파이프라인 자동화를 위한 최적화 기술 개발 | [SK 텔레콤] SKT AI Fellowship 6기 | 📗 Research

    0100

  • Lizhecheng02/Kaggle-LLM_Prompt_Recovery

    LLMs are commonly used to rewrite or make stylistic changes to text. The goal is to recover the LLM prompt that was used to transform a given text.

    Language:Jupyter Notebook101

  • praveendecode/PromptIQ

    Effortlessly perform sentiment analysis, translation, speech synthesis, summarization, and Q&A tasks with an interactive UI using prompt engineering

    Language:Python20

  • zezs/Ice-breaker-powered-by-LLM

    Ice Breaker is comprehensive fullstack app leveraging generative AI and LangChain to find LinkedIn profiles and generate engaging ice breakers. LangChain ReAct agents ensure accurate URL retrieval and JSON cleaning, identifying a summary, facts, topics, and ice breakers. The frontend is built with HTML/CSS, and Flask powers the backend development.

    Language:Python101