Rethinking Neural Network Efficiency: Beyond Parameter Counting and Practical Data Tuning
Neural networks, despite their theoretical ability to fit training sets with as many samples as there are parameters, often fall ...
Tag: tuning
Urgent knowledge editing through efficient tuning
Large language models (LLMs) have demonstrated impressive capabilities in different tasks and are bringing transformative changes to many domains. However, ...
Fine tuning vs. full training vs. training from scratch
Introduction Many methods have been proven to be effective in improving model quality, efficiency, and resource consumption in Deep Learning. ...
No GPU, No Party: BERT Tuning for Sentiment Analysis with Vertex AI Custom Jobs | by Benjamin Etienne | June 2024
Fitting a BERT model on social media dataObtain and prepare the data.The dataset we will use comes from Kaggle, you ...
Best strategies for tuning large language models
Image by author Large language models have revolutionized the field of natural language processing, offering unprecedented capabilities in tasks such ...
DeepMind researchers propose naturalized execution tuning (NExT): a self-training machine learning method that dramatically improves LLM's ability to reason about code execution
Understanding and reasoning about program execution is a critical skill for developers, often applied during tasks such as debugging and ...
KIVI – A Plug-and-Play 2-bit KV Cache Quantization Algorithm without the need for any tuning
Large language models (LLMs) are incredibly useful for tasks like generating text or answering questions. However, they face a big ...
Mistral 7B-V0.2: Tuning the new Mistral open source LLM with Hugging Face
Image by author Mistral ai, one of the world's leading ai research companies, has recently released the base model for ...
7 steps to master tuning large language models
Image by author Over the past year and a half, the natural language processing (NLP) landscape has seen a notable ...
Researchers from IBM and MIT present LAB: a novel artificial intelligence method designed to overcome scalability challenges in the instruction tuning phase of large language model (LLM) training.
IBM researchers have introduced LAB (Large Scale Alignment for Chatbots) to address scalability challenges encountered during the instruction tuning phase ...
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