Rawbot is a tool that provides in-depth performance insights, identifies strengths and weaknesses, conducts cost and efficiency analysis, saves time and resources, offers user-friendly experience, provides side-by-side evaluations, tailors to specific needs, and is regularly updated and improved. It is limited to 140 character prompts and generates up to 100 tokens, aimed at researchers and developers for comparative analysis and unbiased evaluation, simplifying the choice of model. However, it requires JavaScript, has a simple interface, helps with decision-making, and assesses performance, efficiency, and suitability while reducing complexity.
Rawbot was created by Karbula DOOEL, founded by Nikola Parapunov. The company, located at Nikola Parapunov 1/43, 1000 Skopje, launched Rawbot on June 18, 2024, offering a user-friendly platform with in-depth performance insights, cost and efficiency analysis, and tailored evaluations for researchers and developers.
To use Rawbot effectively, follow these steps:
By following these steps, you will be able to effectively utilize Rawbot for your research and development needs.
I appreciate the insights Rawbot provides into model performance; it gives a clear overview of strengths and weaknesses.
The tool is limited by the 140 character prompt, which can be frustrating when trying to convey more complex queries.
It helps me quickly evaluate various models, saving time, but the limitations make it less useful for detailed analysis.
The interface is very user-friendly, making it easy to navigate even for someone who isn't tech-savvy.
I find it quite limited in terms of the number of tokens generated. More flexibility would help a lot.
It simplifies the decision-making process, especially when comparing different models, but I wish it could handle more extensive queries.
The side-by-side evaluations are incredibly useful for comparative analysis, which is essential for my research.
Sometimes the updates can be a bit disruptive, and I have to relearn parts of the interface after each one.
It allows me to evaluate models efficiently, which saves both time and resources during the research process.