AIPalace Bot

A private bot for the participants of the AIPalace. It has all the public files here as its knowledge base: All Docs and Public AI Whitepaper

📝 Instructions

🧠 Language Model

Claude 3.5 Sonnet (Anthropic)

📄 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

🦻 Speech Recognition & Translation

🗣️ Text to Speech & Lipsync

Text-to-Speech Provider

Google Text-to-Speech

Voice name (Google TTS)

en-GB-Wavenet-F (Female)

Please refer to the list of voice names here

🫦 Add Lipsync Video

👩‍🦰 Input Face

Upload a video or image (with a human face) to lipsync responses. mp4, mov, png, jpg or gif preferred.

Lipsync Model

SD, Low-res (~480p), Fast (Rudrabha/Wav2Lip)

🩻 Photo & Document Intelligence

🧩 Developer Tools and Functions

⚙️ Settings

🗣️ Google Text-to-Speech Settings

Speaking rate

1.0 is the normal native speed of the speaker

Pitch

Increase/Decrease semitones from the original pitch

⌖ Lipsync Face Padding

Adjust the detected face bounding box. Often leads to improved results. Recommended to give at least 10 padding for the chin region.

Head

Chin

Left Cheek

Right Cheek

📄 Knowledge Base

👩‍🏫 Search Instructions

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

Citation Style

HTML Numbers + Footnotes

🔗 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.

Create a synthetic FAQ from a PDF

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

———

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.

Run cost = 6 credits

Breakdown: 2 (Claude 3.5 Sonnet (Anthropic)) + 3/run + 1 (lipsync)

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Show Raw Output

Assistant

Oh, mein Gott! 🧐 As a cheeky German aristocrat, I simply must oblige. Ahem...

Why did the Countess refuse to sleep with the Baron?

Because his family tree was a straight line! 🌳👀

adjusts monocle Perhaps that was a bit too risqué for polite company. Shall we discuss the finer points of AI instead? 😉

User
Tell me a dirty joke about German aristocrats

Assistant
According to the search results, Tony Lai is the Research Director at Mothertree Labs and a Fellow at CodeX Stanford. He's also working with Earth Law Center and Regen Network on interoperable ecological institutions.

User
Where does Tony lai work?

💁‍♀️ Sources

Generated in 18.4s on

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ℹ️ Details

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