CAT
Bhavin Jawade Understanding LoRA — Low Rank Adaptation For Finetuning Large Models Math behind this parameter efficient finetuning method Fine-tuning...
artificial intelligence
Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20%
1 min read
Robert Van Dusen Large language model (LLM) training has surged in popularity over the last year with...
Yoann Mocquin Linear models, handling non-linearity, and regularization Continue reading on Towards Data Science » Originally appeared...
Chaim Rand How to Implement a Custom Training Solution Using Basic (Unmanaged) Cloud Service APIs `Photo by Aditya...
Salvatore Cagliari When loading a wide Excel table into Power BI, we end up with a suboptimal...
Cameron R. Wolfe, Ph.D. Solving multi-step problems with LLMs via deliberate planning and exploration… Continue reading on...
Google AI Posted by Jeff Dean, Chief Scientist, Google DeepMind & Google Research, Demis Hassabis, CEO, Google...
Gustavo Santos The challenges of running Principal Component Analysis in PySpark Continue reading on Towards Data Science...
Tea Mustać Between the GDPR, the AI Act, the DSA and Common Decency Image by Ant Rozetsky on Unsplash...
Mariya Mansurova Part 2: Diving deeper into LLM agents Image by DALL-E 3 In the previous article, we’ve started...
