Efficient Deep Learning Inference Based on Model Compression

We introduce QuanTA, a novel, easy-to-implement, PEFT method with no inference over- head inspired by quantum circuits, enabling efficient high-rank fine-tuning ...







Performance Based Review and Fine-Tuning of TRM-Concrete ...
In this approach, we first do a search to find candidate documents, using a fast and simple method, which is called the retrieval phase. We then ...
Elicitation and fine-tuning of fuzzy control rules using symbiotic ...
Their method consists of two steps, first a general finetuning for general smart con- tract code completion, the authors used the GPT-J-6B model ...
QuanTA: Efficient High-Rank Fine-Tuning of LLMs ... - NIPS papers
Algorithm 2 shows the fine-tuning steps. We keep the pre-trained parameters fixed for the first n1 epochs and use a small learning rate in the ...
Fine-Tuning BERT for Document Ranking - NTNU Open
how to fine-tune the pre-trained neural topic model. 186 on the target dataset. 187. 3.1 Neural Topic Model Architecture. 188. For the architecture of NTM, we ...
Fine-tuning deep RL with gradient-free optimization
When applying the self-play fine-tuning technique (Chen et al., 2024) to diffusion models, there are two challenges: (a) an exponential or even infinite number ...
FLAMES: Fine-tuned Large Language Model for Invariant Synthesis
This chapter focuses on instruction fine-tuning and alignment based on human feedback. If readers have some background in machine learning and ...
Pre-training and Fine-tuning Neural Topic Model - ACL Anthology
We investigate the challenge of modeling the belief state of a partially observable. Markov system, given sample-access to its dynamics model.
Self-Play Fine-Tuning of Diffusion Models for Text-to ... - NIPS papers
In this work, we propose Temporal Difference Learning for Model Predictive Control (TD-MPC), a framework for data-driven MPC using a task- ...
Foundations of Large Language Models - AWS
In this section, we present a new technique for updating task models finetuned on a source time period j to a target time period k with only ...
Time is Encoded in the Weights of Finetuned Language Models
Pre-trained language models can be fine-tuned to solve diverse NLP tasks, including in few-shot settings. Thus fine-tuning allows the model to.
Task-Specific Skill Localization in Fine-tuned Language Models
In particu- lar, we propose a novel fine-tuning method called Self-Play fIne-tuNing (SPIN), which begins from a supervised fine- tuned model. SPIN allows the ...
Anthem Hoosier Healthwise / Healthy Indiana Plan - IN.gov
Questions: Call 1-855-333-5730 or visit us at http://www.anthem.com/ca. If you aren't clear about any of the underlined terms used in this form, see the ...