9 results

Analysis Help Guide . This example is the default analysis script to categorize Copilot conversations and to determine whether user's questions we successfully answered.

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513 runs

A comparison of small 2-10B LLM models on Hindi text using the best of LLaMA3, Gemma and Sarvam 2B

The People+AII bot primarily replaces a form, gathering data on the name, industry and AI hopes and concerns from users. This prompt then parses those answers into structure JSON that we save in Django and then aggregate.

Yes, this is a silly (but useful!) AI recipe. Notice the differing emoji styles of Claude3.5 vs GPT-4o. :-)

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Google Palm vs GPT4 vs LLaMA2: Which can easily create code to call the Stripe API using natural language.

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This workflow takes a parameters the Gooey.AI workflow title and prompt to then create an image generation prompt that we use in our image generator workflow: https://gooey.ai/compare-ai-image-generators/?run_id=rpuzpn5m&uid=kKZgp2h1H2YxZYxZ2DbiRfUfeDM2

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LLMs have biases built into them that are subtly reflected in every reference they produce about a subject. These biases will shortly be embedded to every Word Doc, Powerpoint, text and gmail message they help us create. Below we explore what 4 different versions of GPT feel about a collection of car brands.

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Use our prompt beautifier if your find that your prompt results are not working well. This workflow will make your prompts and suggest improvements that are best suited for stable diffusion and give amazing results in the AI Animation Generator and the AI Image Generator.

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598 runs

ChatGPT models expect a structured format, called Chat Markup Language. This demonstrates how you can build a chatbot using raw ChatML.

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