Awesome LLM Papers and repos on very comprehensive topics.

gpt-o1 like chain of thoughts with local LLMs in R

Arcmind Autonomous AI Agent powered by Dfinity's Internet Computer

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

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

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

A collection of prompts and techniques to enhance the reasoning, response development, and quality of Large Language Models (LLMs).

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

OmniLlama é minha tentativa de criar uma maneira eficiente, local de trabalhar com cadeias de raciocínio com modelos relativamente pequenos.

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

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

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.

按照CoT原理设计的AI工作流，可配置、可中断编辑

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

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.

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

Chain of thought adapter for local llms

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.

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