The best alternatives to LLM Prompt & Model Playground are Giskard, Airtrain.ai LLM Playground, and Prompt Hippo. If these 3 options don't work for you, we've listed a few more alternatives below.
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PromotedBest alternatives to LLM Prompt & Model Playground
- Fast LLM & ML testing at scale 🛡️ Detect hallucinations & biases automatically 🔍 Enterprise Testing Hub ☁️ Self-hosted / cloud 🤝 Integrated with 🤗, MLFlow, W&B From tabular models to LLMs, Giskard handles everything! https://github.com/Giskard-AI/giskard
- A no-code LLM playground to vibe-check and compare quality, performance, and cost at once across a wide selection of open-source and proprietary LLMs: Claude, Gemini, Mistral AI models, Open AI models, Llama 2, Phi-2, etc.
- Prompt Hippo allows you to test LLM prompts side-by-side for robustness, reliability, and safety.
> 1. Previously, I wanted to create a tool: > - For each prompt, automatically generate test cases of all types => The output will be: ACCURACY RATE, PASS RATE of test cases for each prompt. > -> 4 columns: for 4 prompts, the final output will be the pass rates of the test cases for each. ------------------ https://prompthippo.net/profile ----------------------------------- Tool Prompting: Quick review: - Many columns (each column is 1 prompt) => During the PROMPT TUNING process, there is no need to temporarily store the prompt, no need to ctrl Z to return to the old prompt, ) - Temprature = 0 (I tested it to match on playbackground) - Quickly switch back and forth between models to test multiple prompts at once. - TOOL CANNOT DO: +, NOT AUTOMATICALLY GENERATED TEST CASES TO TEST => NO FINAL OUTPUT IS THE PASS RATE OF TEST CASES. --------------------------------- I just tested a "prompt tweaking" tool, @Truc Le Van 😁 - The Ultimate Collection of 2000 Large Language Models Prompts is a helpful resource for anyone interested in learning about Large Language Models. It provides a variety of prompts to experiment with and understand their applications in various contexts.
- Similar to traditional code notebooks like Jupyter Notebooks, but with a seamless integration with large-language models. Code when you want, skip when you don't. Export notebooks for portability.
