Direct Preference Optimization (DPO): Simplifying AI Fine-Tuning for Human Preferences
#generativeai #finetuningllms #rlhf #dataannotation #aifinetuning #supervisedfinetuning #directpreferenceoptimization #hackernoontopstory #hackernoones #hackernoonhi #hackernoonzh #hackernoonfr #hackernoonbn #hackernoonru #hackernoonvi #hackernoonpt #hackernoonja #hackernoonde #hackernoonko #hackernoontr
https://hackernoon.com/direct-preference-optimization-dpo-simplifying-ai-fine-tuning-for-human-preferences
#generativeai #finetuningllms #rlhf #dataannotation #aifinetuning #supervisedfinetuning #directpreferenceoptimization #hackernoontopstory #hackernoones #hackernoonhi #hackernoonzh #hackernoonfr #hackernoonbn #hackernoonru #hackernoonvi #hackernoonpt #hackernoonja #hackernoonde #hackernoonko #hackernoontr
https://hackernoon.com/direct-preference-optimization-dpo-simplifying-ai-fine-tuning-for-human-preferences
Hackernoon
Direct Preference Optimization (DPO): Simplifying AI Fine-Tuning for Human Preferences
Interesting and innovative approach in the training of language models that reflects human preferences and then fine-tuning
The Model Training DreamLLM Underwent: Its Origin Story
#machinelearningframework #dreamllm #whatisdreamllm #modeltrainingdreamllm #modeltraining #alignmenttraining #igptpretraining #supervisedfinetuning
https://hackernoon.com/the-model-training-dreamllm-underwent-its-origin-story
#machinelearningframework #dreamllm #whatisdreamllm #modeltrainingdreamllm #modeltraining #alignmenttraining #igptpretraining #supervisedfinetuning
https://hackernoon.com/the-model-training-dreamllm-underwent-its-origin-story
Hackernoon
The Model Training DreamLLM Underwent: Its Origin Story
In this work, we consider a three-stage training procedure: Alignment training, I-GPT training, and Supervised Fine-tuning.
LLaVA-Phi: The Training We Put It Through
#llms #llavaphi #clipvitl #llava15 #phi2 #supervisedfinetuning #sharegpt #trainingllavaphi
https://hackernoon.com/llava-phi-the-training-we-put-it-through
#llms #llavaphi #clipvitl #llava15 #phi2 #supervisedfinetuning #sharegpt #trainingllavaphi
https://hackernoon.com/llava-phi-the-training-we-put-it-through
Hackernoon
LLaVA-Phi: The Training We Put It Through
Our overall network architecture is similar to LLaVA-1.5. We use the pre-trained CLIP ViT-L/14 with a resolution of 336x336