Repost from SEBASTIAN RASCHKA, PHD‘s blog In this article, I compiled and annotated 24 AI research highlights form June to July 2023. A lot of exciting developments are currently happening, once again, in the fields of natural language processing and computer vision! Large Language Models Lost in the Middle: How Continue Reading
A Comprehensive Prompt Engineering Guide by Dair-AI
Source from dair-ai’s GitHub Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt Continue Reading
Deep Learning Tuning Playbook: Maximizing Performance of Deep Learning Models
Discover a comprehensive playbook created by Google Brain engineers and researchers to help you maximize the performance of your deep learning models. This blog dives into the process of hyperparameter tuning and provides practical guidance on various aspects of deep learning training. Whether you’re an engineer or a researcher, this Continue Reading