Structurally Flexible Neural Networks: An AI Approach to Solve a Symmetric Dilemma for Optimizing Units and Shared Parameters
The advent of deep neural networks (DNNs) has led to remarkable improvements in controlling artificial agents using the optimization of reinforcement learning or evolutionary algorithms. However, most neural networks show…
This AI Paper from Princeton and the University of Warwick Proposes a Novel Artificial Intelligence Approach to Enhance the Utility of LLMs as Cognitive Models
Scientists studying Large Language Models (LLMs) have found that LLMs perform similarly to humans in cognitive tasks, often making judgments and decisions that deviate from rational norms, such as risk…
‘RAG Me Up’: A Generic AI Framework (Server + UIs) that Enables You to Do RAG on Your Own Dataset Easily
Managing and extracting useful information from diverse and extensive documents is a significant challenge in data processing and artificial intelligence. Many organizations find it difficult to handle various file types…
LlamaFS: An Open-Source Self-Organizing File system with Llama-3
The recent release of this open-source project, LlamaFS, addresses the challenges associated with traditional file management systems, particularly in the context of overstuffed download folders, inefficient file organization, and the…
MoEUT: A Robust Machine Learning Approach to Addressing Universal Transformers’ Efficiency Challenges
Transformers are essential in modern machine learning, powering large language models, image processors, and reinforcement learning agents. Universal Transformers (UTs) are a promising alternative due to parameter sharing across layers,…
Addressing Sycophancy in AI: Challenges and Insights from Human Feedback Training
Human feedback is often used to fine-tune AI assistants, but it can lead to sycophancy, where the AI provides responses that align with user beliefs rather than being truthful. Models…
From Explicit to Implicit: Stepwise Internalization Ushers in a New Era of Natural Language Processing Reasoning
Natural language processing (NLP) teaches computers to understand, interpret, and generate human language. Researchers in this field are particularly focused on improving the reasoning capabilities of language models to solve…
Llama3-V: A SOTA Open-Source VLM Model Comparable performance to GPT4-V, Gemini Ultra, Claude Opus with a 100x Smaller Model
Llama 3 has significantly outperformed GPT-3.5 and even surpassed GPT-4 in several benchmarks, showcasing its strength in efficiency and task-specific performance despite having fewer parameters. However, GPT-4o emerged with advanced…