Summary of Curlora: Stable Llm Continual Fine-tuning and Catastrophic Forgetting Mitigation, by Muhammad Fawi
CURLoRA: Stable LLM Continual Fine-Tuning and Catastrophic Forgetting Mitigationby Muhammad FawiFirst submitted to arxiv on:…
Summary of 1-bit Fqt: Pushing the Limit Of Fully Quantized Training to 1-bit, by Chang Gao et al.
1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bitby Chang Gao, Jianfei Chen,…
Summary of Reprogramming Foundational Large Language Models(llms) For Enterprise Adoption For Spatio-temporal Forecasting Applications: Unveiling a New Era in Copilot-guided Cross-modal Time Series Representation Learning, by Sakhinana Sagar Srinivas et al.
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New…
Summary of Exploring the Potential Of Large Language Models For Heterophilic Graphs, by Yuxia Wu et al.
Exploring the Potential of Large Language Models for Heterophilic Graphsby Yuxia Wu, Shujie Li, Yuan…
Summary of Advancing Enterprise Spatio-temporal Forecasting Applications: Data Mining Meets Instruction Tuning Of Language Models For Multi-modal Time Series Analysis in Low-resource Settings, by Sagar Srinivas Sakhinana et al.
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal…
Summary of Llamaduo: Llmops Pipeline For Seamless Migration From Service Llms to Small-scale Local Llms, by Chansung Park et al.
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMsby Chansung Park,…
Summary of Question Answering System Of Bridge Design Specification Based on Large Language Model, by Leye Zhang et al.
Question answering system of bridge design specification based on large language modelby Leye Zhang, Xiangxiang…
Summary of The Ultimate Guide to Fine-tuning Llms From Basics to Breakthroughs: An Exhaustive Review Of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities, by Venkatesh Balavadhani Parthasarathy et al.
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies,…
Summary of Sea: Semantic Adversarial Augmentation For Last Layer Features From Unsupervised Representation Learning, by Qi Qian et al.
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learningby Qi Qian, Yuanhong…
Summary of Iaa: Inner-adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities, by Bin Wang et al.
IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilitiesby Bin Wang, Chunyu Xie,…