It’s another month in AI research, and it’s hard to pick favorites. This month, I am going over a paper that discusses strategies for the continued…
Exploring the utility of large language models in autonomous driving: Can they be trusted for self-driving cars, and what are the key challenges?
‘Vec2text’ can serve as a solution for accurately reverting embeddings back into text, thus highlighting the urgent need for revisiting security protocols around embedded data.
Once again, this has been an exciting month in AI research. This month, I’m covering two new openly available LLMs, insights into small finetuned LLMs, and…
Low-rank adaptation (LoRA) is a machine learning technique that modifies a pretrained model (for example, an LLM or vision transformer) to better suit a…
This article focuses on improving the modeling performance of LLMs by finetuning them using carefully curated datasets. Specifically, this article…
Large language models (LLMs) offer one of the most interesting opportunities for developing more efficient training methods. A few weeks ago, the NeurIPS…
Peak memory consumption is a common bottleneck when training deep learning models such as vision transformers and LLMs. This article provides a series of…
Finetuning allows us to adapt pretrained LLMs in a cost-efficient manner. But which method should we use? This article compares different…
Posted by Wei Wei, Developer Advocate
Large language models (LLMs) are taking the world by storm, thanks to their powerful ability to generate text, translate languages, and answer questions in a coherent and informative way. At Google I/O 202…