Can AI Keep Up in Long Conversations? Unveiling LoCoMo, the Ultimate Test for Dialogue Systems
In recent years, the field of conversational AI has seen remarkable advancements, particularly in the development of chatbots and digital
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Natural Language Processing
A Comprehensive Guide to Train a Food Recognition and Classification Model Using Machine Learning
In today’s digital age, the ability to automatically recognize and classify different types of food from images has become increasingly
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8 Top Tools and Libraries for RLHF in 2024
Reinforcement Learning from Human Feedback (RLHF) is a powerful technique in machine learning that involves training models using human input
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Deciphering the Impact of Scaling Factors on LLM Finetuning: Insights from Bilingual Translation and Summarization
The field of Natural Language Processing (NLP) has witnessed remarkable advancements in recent years, with Large Language Models (LLMs) leading
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Meta AI Releases MMCSG: A Dataset with 25h+ of Two-Sided Conversations Captured Using Project Aria
The field of artificial intelligence (AI) continues to advance rapidly, and one of the key components driving this progress is
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Meet the Matryoshka Embedding Models that Produce Useful Embeddings of Various Dimensions
In the rapidly evolving field of Natural Language Processing (NLP), embedding models play a crucial role in converting complex data,
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Unifying Language Understanding and Generation: The Revolutionary Impact of Generative Representational Instruction Tuning (GRIT)
The field of Natural Language Processing (NLP) has witnessed significant advancements in recent years, thanks to breakthrough methodologies that have
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Meta AI introduces SPIRIT-LM: A Foundation Multimodal Language Model that Freely Mixes Text and Speech
In the field of Natural Language Processing (NLP), the development of large language models (LLMs) has revolutionized the way machines
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Infini-Gram: Revolutionizing N-Gram Models Beyond Traditional Limits
The field of artificial intelligence (AI) has witnessed significant advancements in recent years, especially in the domain of natural language
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CMU Researchers Introduce OWSM v3.1: A Better and Faster Open Whisper-Style Speech Model-Based on E-Branchformer
Speech recognition technology has revolutionized the way we interact with machines, enabling them to understand and process human speech. It
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