Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
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Updated
Dec 11, 2024 - Python
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
Reproducible Language Agent Research
AI Reasoning Framework for Scientific Research
💭Auto Graph of Thoughts: A Hands-free and Cost Effective Method for using Graph of Thoughts
The implementation of our LREC-COLING 2024 paper "DGoT: Dynamic Graph of Thoughts for Scientific Abstract Generation"
Ollama structured output for visual zeroshot reasoning
🧠 Open-source AI reasoning research platform — persistent reasoning graphs, multi-agent swarms, Graph-of-Thoughts, and MemGPT-style memory. Built with Claude Opus 4.6 by Anthropic. Explore, verify, and fork AI thinking in real-time.
Next-Generation AI Reasoning Framework for Scientific Research
Trying to understand problem solving
Prosense introduces an adversarial feedback pipeline to improve the robustness and truthfulness of text generation models. It features multi-stage fine-tuning on Mistral-7B, Graph-of-Thought-based reasoning feedback, and efficient single-GPU training.
A LangGraph-native Agentic Graph RAG framework implementing adaptive 3-way retrieval, autonomous quality validation, and multi-layered Graph of Thought (GoT) reasoning.
KERNEL Ω est une architecture cognitive unifiée pour LLMs. En fusionnant Graph of Thoughts, Self-Discover et Few-Shot Introspectif, il transforme les générateurs de texte linéaires en moteurs d'inférence réflexifs capables de douter, de s'auto-corriger et de cartographier leur propre pensée.
LLMScript is an AI Workflow engine driven by a Scripting Language based on JavaScript. It provides a specialized environment for executing structured commands with AI capabilities, supporting loops, conditional statements, functions, custom queries, recursion, and nested calls.
Experiments comparing Chain-of-Thought, Self-Consistency, Tree-of-Thoughts, and Graph-of-Thoughts reasoning strategies on LLMs.
Explore zero-shot reasoning strategies with Ollama in this interactive FastAPI project. Visualize AI thought processes using Chain, Tree, and Graph-of-Thought. 🌟💻
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