Carson Call's Outdoor Recreation Advisor

Gooey.AI's Copilot is the best chatbot builder anywhere, combining your choice of LLMs (GPT4-Turbo/Vision, Gemini or LLaMa2), knowledge docs from any link or doc/PDF (with table support!), speech recognition, text-to-speech and Lipsync, editable synthetic data pipelines, built in 👍🏿 👎🏼 feedback, conversation analysis, WhatsApp, slack, Facebook and API integrations and much more.

In this example, Copilot is trained on the information publicly available online about the status of the different recreation areas. By ingesting this data, Copilot can make educated suggestions that are based in reality.

📝 Instructions

🧠 Language Model

GPT-4 Turbo (openai)

📄 Knowledge

Add documents or links to give your copilot a knowledge base. When asked a question, we'll search them to generate an answer with citations.

Submit Links in Bulk

💪 Capabilities

🗣️ Text to Speech & Lipsync

🔠 Translation & Speech Recognition

🩻 Photo & Document Intelligence

🧩 Developer Tools and Functions

⚙️ Settings

📄 Knowledge Base

👩‍🏫 Search Instructions

How should the LLM interpret the results from your knowledge base?

Citation Style

Numbers ( [1] [2] [3] ..)

🔗 Shorten Citation URLs

Create Synthetic Data

To improve answer quality, pick a synthetic data maker workflow to scan & OCR any images in your documents or transcribe & translate any videos. It also can synthesize a helpful FAQ. Adds ~2 minutes of one-time processing per file.

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Advanced Settings

In general, you should not need to adjust these.

👁‍🗨 Conversation Summarization

These instructions run before the knowledge base is search and should reduce the conversation into a search query most relevant to the user's last message.

🔑 Keyword Extraction

Instructions to create a query for keyword/hybrid BM25 search. Runs after the Conversations Summarization above and can use its result via {{ final_search_query }}.

✏ Embeddings Model

Text Embedding 3 Large (OpenAI)

Dense Embeddings Weightage

Weightage for dense vs sparse embeddings. 0 for sparse, 1 for dense, 0.5 for equal weight.
Generally speaking, dense embeddings excel at understanding the context of the query, whereas sparse vectors excel at keyword matches.

Max Citations

The maximum number of document search citations.

Max Snippet Words

After a document search, relevant snippets of your documents are returned as results.
This setting adjusts the maximum number of words in each snippet (tokens = words * 2).
A high snippet size allows the LLM to access more information from your document results, at the cost of being verbose and potentially exhausting input tokens (which can cause a failure of the copilot to respond).

Snippet Overlap Ratio

Your knowledge base documents are split into overlapping snippets.
This settings adjusts how much those snippets overlap (overlap tokens = snippet tokens / overlap ratio).
In general you shouldn't need to adjust this.

🔠 Language Model Settings

Avoid Repetition

Response Format

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Max Output Tokens

The maximum number of tokens to generate in the completion. Increase to generate longer responses.

Creativity (aka Sampling Temperature)

Higher values allow the LLM to take more risks. Try values larger than 1 for more creative applications or 0 to ensure that LLM gives the same answer when given the same user input.

Answer Outputs

How many answers should the copilot generate? Additional answer outputs increase the cost of each run.

🛠️ Tools

Give your copilot superpowers by giving it access to tools. Powered by Function calling.

Save JSON as PDF

Run cost = 6 credits

Breakdown: 3 (GPT-4 Turbo (openai)) + 3/run

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Show Raw Output

Assistant

Near Provo, Utah, you might consider camping at Utah Lake State Park, which offers fishing access and a variety of campsites. The weather around this area is typically milder compared to the higher elevations, making it a good choice for avoiding colder conditions. Another option is Wasatch Mountain State Park, which provides year-round camping opportunities in the Pine Creek Campground and has a range of outdoor activities. Both parks offer a mix of amenities and natural settings, and they are within a reasonable distance from Provo for a convenient outdoor getaway [2]. Remember to check the current conditions and any specific regulations or reservation requirements before heading out. Happy camping! 🏕️

User
What are some good places to go camping this time of year near Provo, Utah? I don't want a place that is too cold, but I would rather not travel too far either. What do you recommend?

💁‍♀️ Sources

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ℹ️ Details

How to Use This Recipe

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