Sparse autoencoders, additive decision trees, and other emerging topics in AI interpretability | by TDS Editors | June 2024 by Technical Terrence Team 06/13/2024 0 Feeling inspired to write your first TDS post? We are always open to contributions from new authors..As LLMs grow and ...
This article presents AQLM: a machine learning algorithm that helps in extreme compression of large language models using additive quantization by Technical Terrence Team 03/17/2024 0 In the rapidly advancing domain of artificial intelligence, efficiently operating large language models (LLMs) on consumer-grade hardware represents a significant ...
This article explores the synergistic potential of machine learning: improving interpretability and functionality in generalized additive models through large language models by Technical Terrence Team 03/03/2024 0 In the rapidly advancing fields of data science and artificial intelligence (ai), combining interpretable machine learning (ML) models with large ...
Stanford researchers present CORNN: a machine learning method for real-time analysis of large-scale neural recordings 11/11/2023
Exclusive-Broadcom closes in on sale of remote access unit to KKR for $3.8 billion By Reuters 02/24/2024