OpenHermes-13B vs mshumer/gpt-prompt-engineer - GitHub

Discover OpenHermes-13B, an advanced fine-tuned model from teknium that leverages the robust GPT-4 generated dataset collected from diverse AI solutions. Meticulously trained on a fully open-source dataset comprising 242,000 entries, OpenHermes-13B was crafted using contributions from industry leaders including Teknium, the WizardLM Team, and Microsoft to name a few.

This model aims to enhance text generation via open datasets, specifically engineered to remove AI disclaimers and refusals to streamline communication outputs. Its training process, facilitated by a16z's sponsorship and main_horse's compute resources, embraces transparency by allowing public access to the WANDB Project. Dive into the model's impressive benchmark results, its average score comparison with similar models, and explore the particular hyperparameters that have shaped its training.

The GitHub repository "mshumer/gpt-prompt-engineer" is designed as a tool to optimize and streamline the process of prompt engineering for AI models. By effectively utilizing GPT-4 and GPT-3.5-Turbo, it aids users in generating a variety of prompts based on defined use-cases and testing their performance. The system ranks prompts using an ELO rating system, allowing users to identify the most effective ones for their needs. This tool is a boon for developers and researchers who are looking to enhance interaction with AI language models and can be beneficial for tasks across various domains, including content creation, data analysis, and innovation in AI-powered applications.