Comprehensive Guide for Superior RLHF
Comprehensive Guide
for Superior RLHF
Learn how to train a safer, more accurate model by aligning with human preferences. High-quality training data is essential. In this guide, we share how to use unmatched expert data in various approaches to RLHF.
What’s inside the guide:
Overview of RLHF approaches
Dynamic overlap in RLHF pipelines
Fine-grained RLHF for enhancing LLMs
Comprehensive guide
to unlock your coding LLM
Comprehensive Guide for Superior RLHF
Learn how to finetune your pre-trained model for coding tasks. GenAI applications for coding need specialized data for fine-tuning, alignment, and evaluation. Whether your work on GenAi scenarios include code writing, code or concept explanation, code review, document generation or debugging - high-quality coding training data does matter. In the guide we bring the light to the optimal data pipelines.
What’s inside the guide:
Fine-tuning data generation
pipeline example for coding projects
What’s essential for high-quality coding prompts and competions generation?
How to ensure
a diverse scalable supply of coding experts?
How to ensure a diverse scalable
supply of coding experts?
Download the guide
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