Job Description
**Role Overview**:
**This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models.**
**One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models.**
**For example, for SFT data generation, you might have to put together or be provided a prompt which contains provided code and questions, you will then provide the model responses, and write corresponding Python code to solve the questions. A collection of 5k-10k such samples could form the dataset for model fine-tuning.**
**For RLHF data generation, you might have to put together or be provided a prompt by the customer, ask the model questions, and evaluate the outputs generated by two...
**This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models.**
**One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models.**
**For example, for SFT data generation, you might have to put together or be provided a prompt which contains provided code and questions, you will then provide the model responses, and write corresponding Python code to solve the questions. A collection of 5k-10k such samples could form the dataset for model fine-tuning.**
**For RLHF data generation, you might have to put together or be provided a prompt by the customer, ask the model questions, and evaluate the outputs generated by two...
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