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

Elevate your AI with
data you can rely on

Elevate your AI with
data you can rely on

Elevate your AI with data you can rely on

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for engineers

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