Enhancing AI Reasoning with Minimum Description Length: Introducing MIDGARD
Artificial Intelligence (AI) has made remarkable progress in recent years, but one critical challenge that remains is improving reasoning capabilities.
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Author: Rishabh Dwivedi
Microsoft AI Proposes an Automated Pipeline that Utilizes GPT-4V(ision) to Generate Accurate Audio Description for Videos
In recent years, advancements in artificial intelligence (AI) have transformed various industries, including video content production and accessibility. One significant
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Bayesian Optimization with Large Language Models for Natural Language Preference Elicitation
In today’s world, where large language models are becoming increasingly sophisticated, researchers and developers are constantly exploring new ways to
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Predibase Researchers Present a Technical Report of 310 Fine-tuned LLMs that Rival GPT-4
The field of natural language processing (NLP) is rapidly advancing, and large language models (LLMs) are at the forefront of
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Enhancing AI Validation with Causal Chambers: Bridging Data Gaps in Machine Learning and Statistics with Controlled Environments
Artificial intelligence (AI) and machine learning (ML) have revolutionized various industries, enabling computers to perform complex tasks and make predictions
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Improving Speech Recognition on Augmented Reality Glasses with Hybrid Datasets Using Deep Learning: A Simulation-Based Approach
Augmented Reality glasses have revolutionized the way we interact with digital information in the real world. While these devices offer
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How Faithful are RAG Models? Evaluating the Impact of Data Accuracy on RAG Systems in Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG) is an innovative technology that integrates externally retrieved information with pre-existing model knowledge to enhance the accuracy
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5 Project Ideas Using Large Language Models (LLMs)
In the rapidly evolving landscape of artificial intelligence, the remarkable capabilities of Large Language Models (LLMs) have captured the imagination
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Researchers at Apple Introduce ‘pfl-research’: A Fast, Easy-to-Use, and Modular Python Framework for Simulating Federated Learning
Federated learning (FL) has emerged as a transformative paradigm in the realm of artificial intelligence, promising collaborative model training while
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Google Demonstrates Method to Scale Language Model to Infinitely Long Inputs
In the ever-evolving landscape of artificial intelligence (AI) and machine learning (ML), the ability to process and comprehend lengthy sequences
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