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Collections including paper arxiv:2402.09353
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Collection by
May 11, 2025
Parameter Efficient Fine-Tuning
This collection features fine-tuned models for tweet sentiment classification trained as part of LLM course.
Must Reads On Transformers and Diffusers
Explore the cutting-edge of AI with our curated list of must reads on Transformers & Diffusers, driving innovation in generative-AI and beyond.
Papers
Collection by
Oct 7, 2024
PEFT (Parameter Efficient Fine-Tuning)
PEFT (Parameter-Efficient Fine-Tuning): PEFT is a technique that focuses on updating only a small subset of the model’s parameters during fine-tuning.
Applied Machine Learning Papers
Reading List (Mainly Focused of VLM's and Diffusion Models)
NLP Parameter Efficient Finetuning
Explore research optimizing NLP models for maximum performance with minimal computational resources.
Foundation AI Papers
Curated List of Must-Reads on LLM reasoning at Temus AI team
queue
Collection by
May 11, 2025
PEFT (Parameter Efficient Fine-Tuning)
PEFT (Parameter-Efficient Fine-Tuning): PEFT is a technique that focuses on updating only a small subset of the model’s parameters during fine-tuning.
Parameter Efficient Fine-Tuning
This collection features fine-tuned models for tweet sentiment classification trained as part of LLM course.
Applied Machine Learning Papers
Reading List (Mainly Focused of VLM's and Diffusion Models)
Must Reads On Transformers and Diffusers
Explore the cutting-edge of AI with our curated list of must reads on Transformers & Diffusers, driving innovation in generative-AI and beyond.
NLP Parameter Efficient Finetuning
Explore research optimizing NLP models for maximum performance with minimal computational resources.
Papers
Collection by
Oct 7, 2024
Foundation AI Papers
Curated List of Must-Reads on LLM reasoning at Temus AI team