👋In my daily life, I use a blog to record various things such as my daily life, learning content, project progress, etc. I hope these entries will help you understand me better, and I also hope they can assist you in your learning.
Basic Knowledge Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use large lange models (LLMs) for a wide variety of applications and research topics. Researchers use prompt engineering to improve the safety and the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools.
Overview This paper introduces a new large dataset named LEMMA-RCA for diverse RCA tasks across multiple domains and modalities. This dataset contains IT and OT operation systems from the real world. They also evaluate eight baseline methods on this dataset to prove the high quality of LEMMA_RCA. The official website is https://lemma-rca.github.io/.
Overview This paper insists that the time series is an ordered set of continuous points that will result in the loss of temporal information when using the Transformer structure. To prove this opinion, they propose models named LSTF-Linear which achieve outstanding performance and conduct comprehensive studies.
In the upcoming Fall of 2024, I will be completing my undergraduate studies and beginning my Ph.D. journey. To better present my academic experience and personal information, I have used Hugo to create a new personal homepage (which is the page you are currently viewing)!
Generative Models are part of unsupervised learning models that can learned from the datasets without any labels. Unlike other unsupervised models to manipulate, denoise, interpolate between, or compress examples, generative models focus on generating plausible new samples having similar properties to the dataset.