Download video

Parameter-Efficient Supervised Fine-Tuning of LLaMA3.2 (3B) on a Medical Chain-of-Thought Dataset

33 views

nuckwe

1 month ago

Parameter-Efficient Supervised Fine-Tuning of LLaMA3.2 (3B) on a Medical Chain-of-Thought Dataset

Parameter-Efficient Supervised Fine-Tuning of LLaMA3.2 (3B) on a Medical Chain-of-Thought Dataset

Parameter-Efficient Supervised Fine-Tuning of LLaMA 3.2 (3B) on a Medical Chain-of-Thought Dataset
7:58
Parameter-Efficient Supervised Fine-Tuning of LLaMA 3.2 (3B) on a Medical Chain-of-Thought Dataset
by Humaima Anwar
Visibility analysis (2025 - class)
3:54
Visibility analysis (2025 - class)
by Ermioni Papadopoulou
Parameter-Efficient Supervised Fine-Tuning of LLaMA3.2 (3B) on a Medical Chain-of-Thought Dataset
3:26
Parameter-Efficient Supervised Fine-Tuning of LLaMA3.2 (3B) on a Medical Chain-of-Thought Dataset
by Muhammad iftikhar
Leveraging Sim-Based Model Preconditions for Fast Action Parameter Optimization with Multiple Models
2:57
Leveraging Sim-Based Model Preconditions for Fast Action Parameter Optimization with Multiple Models
by Yunus Seker
How to Create Confidence Intervals for Multiple Columns Using purrr and dplyr in R
2:07
How to Create Confidence Intervals for Multiple Columns Using purrr and dplyr in R
by vlogize
EffiDec3D: An Optimized Decoder for Efficient 3D Medical Image Segmentation, CVPR2025 Highlight
6:25
EffiDec3D: An Optimized Decoder for Efficient 3D Medical Image Segmentation, CVPR2025 Highlight
by Md Mostafiju Rahman
Advanced Memory Formula
0:33
Advanced Memory Formula
by Nutritonal boost
Sequential Multi‑Fidelity Bayesian Optimization for LLM Data Mixtures
1:09:32
Sequential Multi‑Fidelity Bayesian Optimization for LLM Data Mixtures
by Minh Trinh's Artificial Intelligence
DOE Part 4 : Multiple Response Optimization Using Minitab
14:50
DOE Part 4 : Multiple Response Optimization Using Minitab
by Knowledge Factory-Lean Six Sigma
This SIMPLE XGBoost Trick Boosts Your Accuracy - XGBoost Classification Step-by-Step Guide
10:26
This SIMPLE XGBoost Trick Boosts Your Accuracy - XGBoost Classification Step-by-Step Guide
by Super Data Science
Deepseek R1 Fine Tuning [ How to Fine Tune LLM ] Parameter Efficient Fine Tuning LORA Unsloth Ollama
10:24
Deepseek R1 Fine Tuning [ How to Fine Tune LLM ] Parameter Efficient Fine Tuning LORA Unsloth Ollama
by FreeBirds Crew - Data Science and GenAI
Data-Driven Additive Formulation
0:16
Data-Driven Additive Formulation
by Robin Nitzsche
[CS576] Final Presentation (Visual-Prompt Tuning ECCV 2022)
4:38
[CS576] Final Presentation (Visual-Prompt Tuning ECCV 2022)
by 박희준
Summarizing Data: How to Convert Yes Responses into Percentages Using R
1:37
Summarizing Data: How to Convert Yes Responses into Percentages Using R
by vlogize
[AutoMLConf'22]: Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning
9:46
[AutoMLConf'22]: Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning
by AutoMLConf
Efficiently drop_duplicates in Pandas: Keeping the Latest Value for a Specific Column
1:30
Efficiently drop_duplicates in Pandas: Keeping the Latest Value for a Specific Column
by vlogize
subsequent IF statement shorter ways to assign values to parameters based on another variable value
2:21
subsequent IF statement shorter ways to assign values to parameters based on another variable value
by Mixible
Can You Use a Query with Stored Procedures in an IF ELSE Statement for SSRS Datasets?
1:43
Can You Use a Query with Stored Procedures in an IF ELSE Statement for SSRS Datasets?
by vlogize
The 2D dam-break benchmark dataset • density • 5M particles
0:21
The 2D dam-break benchmark dataset • density • 5M particles
by sph . tudelft . nl
Model 3325 Bi-Potentiostat
0:43
Model 3325 Bi-Potentiostat
by BAS Channel
Fitting a Curve of the Type Y = aX^b Using R
1:56
Fitting a Curve of the Type Y = aX^b Using R
by vlogize
How to Automate Standardization on Multiple Columns in R?
1:58
How to Automate Standardization on Multiple Columns in R?
by vlogize