Advances in private training for production on-device language models – Google Research Blog
Zheng Xu, Research Scientist, and Yanxiang Zhang, Software Engineer at Google, discuss the importance of language models (LMs) trained to ...
Tag: language
Meet SPHINX-X: An Extensive Multimodality Large Language Model (MLLM) Series Developed Upon SPHINX
The emergence of Multimodality Large Language Models (MLLMs), such as GPT-4 and Gemini, has sparked significant interest in combining language ...
Keyframer: Empowering Animation Design using Large Language Models
Large language models (LLMs) have the potential to impact a wide range of creative domains, as seen in popular text-to-image ...
Why Prompting Large Language Models in Python is a Must-Learn Skill in 2024 – Dataquest
In the rapidly evolving field of AI, proficiency in working with Large Language Models (LLMs) is no longer just an ...
This AI Paper from Stanford and Google DeepMind Unveils How Efficient Exploration Boosts Human Feedback Efficacy in Enhancing Large Language Models
Artificial intelligence has seen remarkable advancements with the development of large language models (LLMs). Thanks to techniques like reinforcement learning ...
This Survey Paper from Seoul National University Explores the Frontier of AI Efficiency: Compressing Language Models Without Compromising Accuracy
Language models stand as titans, harnessing the vast expanse of human language to power many applications. These models have revolutionized ...
Best Natural Language Processing (NLP) Models
HTML tags are used to structure and format the content of a webpage. Here's the rewritten content with the HTML ...
This AI Paper from Alibaba Introduces EE-Tuning: A Lightweight Machine Learning Approach to Training/Tuning Early-Exit Large Language Models (LLMs)
Large language models (LLMs) have profoundly transformed the landscape of artificial intelligence (AI) in natural language processing (NLP). These models ...
Meet Time-LLM: A Reprogramming Machine Learning Framework to Repurpose LLMs for General Time Series Forecasting with the Backbone Language Models Kept Intact
In the rapidly evolving data analysis landscape, the quest for robust time series forecasting models has taken a novel turn ...
Researchers from ETH Zurich and Microsoft Introduce SliceGPT for Efficient Compression of Large Language Models through Sparsification
Large language models (LLMs) like GPT-4 require substantial computational power and memory, posing challenges for their efficient deployment. While sparsification ...
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