Knowledge Graph Reasoning
Physics-informed neural networks
RIG(Retrieval Interleaved Generation)
A Critical Exploration of AI and Human Cognition.
AI and cognitive offloading
Advancing AI Reasoning: Meta-CoT and System 2 Thinking
COCONUT: Redefining Reasoning in Large Language Models
Chain of Continuous Thought
Chain_of_Reasoning_for_Mathematical_Reasoning
Graph Constrained Reasoning
Hidden Chain-of-Thought decoding
Improving Agent Systems & AI Reasoning
LLMs and the Student Dilemma: Learning to Solve or Learning to Remember?
Ontology Reasoning in Knowledge Graphs
OpenAI Introduces Competitive Programming with Large Reasoning Models
Python-Based Reasoning Engine for Deterministic AI
Quaternion Process Theory: A Multi-Dimensional Framework for Understanding Cognition
Reasoning tokens and techniques
Retrieval-Augmented Reasoning Enhancement
Self-play muTuAl Reasoning
The Self-Taught Reasoning Revolution
Thought Preference Optimization
s1: Simple test-time scaling
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
Advancing Weight-Space Modeling with Universal Neural Functionals
DeepMind Verifies ConvNets Can Match Vision Transformers at Scale
Direct Preference Optimization
Group Relative Policy Optimization
Multi-Agent Deep Q-Networks (MADQN).py
OpenVINO Neural Network Compression Framework (NNCF)
Particle Swarm Optimization
Proximal Policy Optimization
RLAIF: Reinforcement Learning from AI Feedback
Retentive_Network(RETNET)
ScrapeGraphAI_with_LLM.py
Use Phidata_to_build_AI_Assistants.py
Visualizing FAISS Vector Space to Understand its Influence on RAG Performance.py
automated-prompt-engineering
sagemaker multi- Model and Multi-container endpoints
speculative decoding in LLM
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