​[[{“value”:” Multimodal large language models (MLLMs) focus on creating artificial intelligence (AI) systems that can interpret textual and visual data seamlessly. These models aim to bridge the gap between natural language understanding and visual comprehension, allowing machines to cohesively process various forms of input, from… Read More »This AI Paper by NVIDIA Introduces NVLM 1.0: A Family of Multimodal Large Language Models with Improved Text and Image Processing Capabilities Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative AI has emerged as a pivotal field with the rise of large language models (LLMs). These models are capable of producing complex outputs based on a variety of prompts. One notable area within this domain is Retrieval Augmented Generation (RAG), which integrates external… Read More »Salesforce AI Research Unveiled SFR-RAG: A 9-Billion Parameter Model Revolutionizing Contextual Accuracy and Efficiency in Retrieval Augmented Generation Frameworks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Efficient optimization of large-scale deep learning models remains a significant challenge as the cost of training large language models (LLMs) continues to escalate. As models grow larger, the computational burden and time required for training increase substantially, creating a demand for more efficient optimizers… Read More »Can We Optimize Large Language Models Faster Than Adam? This AI Paper from Harvard Unveils SOAP to Improve and Stabilize Shampoo in Deep Learning Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Predicting the long-term behavior of chaotic systems, such as those used in climate modeling, is essential but requires significant computational resources due to the need for high-resolution spatiotemporal grids. One alternative to fully-resolved simulations (FRS) is to use coarse grids, with closure models correcting… Read More »Efficient Long-Term Prediction of Chaotic Systems Using Physics-Informed Neural Operators: Overcoming Limitations of Traditional Closure Models Sana Hassan Artificial Intelligence Category – MarkTechPost

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Sample language model responses to different varieties of English and native speaker reactions.

ChatGPT does amazingly well at communicating with people in English. But whose English?

Only 15% of ChatGPT users are from the US, where Standard American English is the default. But the model is also commonly used in countries and communities where people speak other varieties of English. Over 1 billion people around the world speak varieties such as Indian English, Nigerian English, Irish English, and African-American English.

Speakers of these non-“standard” varieties often face discrimination in the real world. They’ve been told that the way they speak is unprofessional or incorrect, discredited as witnesses, and denied housing–despite extensive research indicating that all language varieties are equally complex and legitimate. Discriminating against the way someone speaks is often a proxy for discriminating against their race, ethnicity, or nationality. What if ChatGPT exacerbates this discrimination?

To answer this question, our recent paper examines how ChatGPT’s behavior changes in response to text in different varieties of English. We found that ChatGPT responses exhibit consistent and pervasive biases against non-“standard” varieties, including increased stereotyping and demeaning content, poorer comprehension, and condescending responses.

Read More »Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination The Berkeley Artificial Intelligence Research Blog

​[[{“value”:” Previous research on reasoning frameworks in large language models (LLMs) has explored various approaches to enhance problem-solving capabilities. Chain-of-Thought (CoT) introduced articulated reasoning processes, while Tree-of-Thought (ToT) and Graph-of-Thought (GoT) expanded on this concept by incorporating branching possibilities and complex relationships between reasoning steps.… Read More »Diagram of Thought (DoT): An AI Framework that Models Iterative Reasoning in Large Language Models (LLMs) as the Construction of a Directed Acyclic Graph (DAG) within a Single Model Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Neural networks are widely adopted in various fields due to their ability to model complex patterns and relationships. However, they face a critical vulnerability to adversarial attacks – small, malicious input changes that cause unpredictable outputs. This issue poses significant challenges to the reliability… Read More »LoRID: A Breakthrough Low-Rank Iterative Diffusion Method for Adversarial Noise Removal Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent research, a state-of-the-art technique has been introduced for utilizing Large Language Models (LLMs) to verify RDF (Resource Description Framework) triples, emphasizing the significance of providing traceable and verifiable reasoning. The fundamental building blocks of knowledge graphs (KGs) are RDF triples, which are… Read More »Verifying RDF Triples Using LLMs with Traceable Arguments: A Method for Large-Scale Knowledge Graph Validation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs exhibit remarkable language abilities, prompting questions about their memory mechanisms. Unlike humans, who use memory for daily tasks, LLMs’ “memory” is derived from input rather than stored externally. Research efforts have aimed to improve LLMs’ retention by extending context length and incorporating external… Read More »Unveiling Schrödinger’s Memory: Dynamic Memory Mechanisms in Transformer-Based Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Novak Zivanic has made a significant contribution to the field of Natural Language Processing with the release of Embedić, a suite of Serbian text embedding models. These models are specifically designed for Information Retrieval and Retrieval-Augmented Generation (RAG) tasks. Specifically, the smallest model in… Read More »Embedić Released: A Suite of Serbian Text Embedding Models Optimized for Information Retrieval and RAG Asif Razzaq Artificial Intelligence Category – MarkTechPost