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*= Equal Contributors Federated Learning (FL) is a technique to train models using data distributed across devices. Differential Privacy (DP) ...
Through the use of creative prompt engineering and in-context learning, large language models (LLMs) have shown the ability to generalize ...
Data poisoning attacks manipulate machine learning models by injecting false data into the training dataset. When the model is exposed ...
Research Published 14 December 2023 Authors: Alhussein Fawzi and Bernardino Romera Paredes By searching for "functions" written in computer code, ...
The large language models domain has taken a remarkable step forward with the arrival of Mixtral 8x7b. Mistral AI developed ...
LLMs can be fine-tuned on code-related datasets to generate code snippets, including function calls. These models can suggest or generate ...
Language is an important component of the human civilization. It is the primary medium for communication and exchanging ideas with ...
Can We Optimize Large Language Models More Efficiently? A research team consisting of researchers from multiple organizations like Microsoft, the ...
This introduction to chatbots and Large Language Models is taken from the book Generative AI Tools for Developers: A Practical ...
A key issue that has recently surfaced in Language Models is the high rate at which Language Models (LMs) provide ...
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