From fbf543680bd3c04b782866dd8b51ec1c4d039d2c Mon Sep 17 00:00:00 2001 From: Courtland Leer <93223786+courtlandleer@users.noreply.github.com> Date: Wed, 17 Apr 2024 14:09:50 -0400 Subject: [PATCH] proofs --- content/blog/A Simple Honcho Primer.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/content/blog/A Simple Honcho Primer.md b/content/blog/A Simple Honcho Primer.md index 3ff0c0119..7574afeb8 100644 --- a/content/blog/A Simple Honcho Primer.md +++ b/content/blog/A Simple Honcho Primer.md @@ -53,7 +53,7 @@ But it's not intuitive for a few reasons: Still, when interacting with an AI app, there's a sense that it *should* be getting to know us. In fact, we're often surprised when we realize it's not learning about us over time. And probably annoyed at having to start over. -There's [[Announcing Honcho's Private Beta#^xb6ef1|enormous potenial]] for more positive-sum use of user data and for aligning AI applications more closely with user needs and preferences. Think about personalization here as more like the experience of close human companionship or white glove services than the attention hacking mechanisms of TikTok[^2]. +Think about personalization here as more like the experience of close human companionship or white glove services than the attention hacking mechanisms of TikTok[^2]. There's [[Announcing Honcho's Private Beta#^xb6ef1|enormous potenial]] for more positive-sum use of user data and for aligning AI applications more closely with user needs and preferences. ## How to Use Honcho ^cd2d3c @@ -74,9 +74,9 @@ But what about vectorDBs? Don't worry, Honcho has you covered there too. You can collection.create_document(content="The user is interested in AI") ``` -Using Honcho as a storage mechanism allows you to **retrieve** rich insights via the user profiles it's building and managing on the backend. You can access them via the *[[Introducing Honcho's Dialectic API|dialectic API]]*. +Using Honcho as a storage mechanism allows you to **retrieve** rich insights via the user profiles it's building and managing on the backend. Your application's LLM can access them via the *[[Introducing Honcho's Dialectic API|dialectic]]* API. -It's simple: just query in natural language using the `session.chat()` method! +It's simple: just query in natural language using the `session.chat()` method. ```python session.chat("What are the user's interests?")