From 1e2c9251bea1543375bfbf7cf3fb404e2d17ad9b Mon Sep 17 00:00:00 2001 From: Courtland Leer <93223786+courtlandleer@users.noreply.github.com> Date: Tue, 16 Apr 2024 15:43:34 -0400 Subject: [PATCH] ref test --- content/blog/A Simple Honcho Primer.md | 10 +++++----- content/blog/Introducing Honcho's Dialectic API.md | 4 +--- 2 files changed, 6 insertions(+), 8 deletions(-) diff --git a/content/blog/A Simple Honcho Primer.md b/content/blog/A Simple Honcho Primer.md index 6dd487304..144e62c04 100644 --- a/content/blog/A Simple Honcho Primer.md +++ b/content/blog/A Simple Honcho Primer.md @@ -9,18 +9,18 @@ tags: Welcome to our quick, ELI5[^1] guide to [Honcho](https://honcho.dev). -We'll cover [[A Simple Honcho Primer#^2f795f|what Honcho is]], [[A Simple Honcho Primer#^5125da|why we built it]], [[A Simple Honcho Primer#^1d2d3c|how to use it]], and [[A Simple Honcho Primer#^5a46d7|where the product is going]]. +We'll cover [[A Simple Honcho Primer#^ef795f|what Honcho is]], [[A Simple Honcho Primer#^x125da|why we built it]], [[A Simple Honcho Primer#^1d2d3c|how to use it]], and [[A Simple Honcho Primer#^ca46d7|where the product is going]]. And throughout, we'll link to places you can dive deeper[^2]. ## What is Honcho? -^2f795f +^ef795f Honcho is a personalization platform for large language model (LLM) applications built by [Plastic Labs](https://plasticlabs.ai). It's software infrastructure that lets AI apps to "get to know" their users, resulting in delightful experiences and optimized time to value. -We'll have direct consumer experiences in the future, but today, the product is for application developers. It allows them to [[Introducing Honcho's Dialectic API#^a14c2f|reduce overhead]] and [[Introducing Honcho's Dialectic API#^07f7f8|enhance their machine learning pipeline]]. +We'll have direct consumer experiences in the future, but today, the product is for application developers. It allows them to [[Introducing Honcho's Dialectic API#^a14c2f|reduce overhead]] and [[Introducing Honcho's Dialectic API#^x7f7f8|enhance their machine learning pipeline]]. Right now, Honcho is in private beta, that means integrating our hosted version requires permission and onboarding[^3]. [You can sign-up here](https://plasticlabs.typeform.com/honchobeta). @@ -37,7 +37,7 @@ Behind the scenes, Honcho learns about users as people--[[User State is State of It then acts as [[Introducing Honcho's Dialectic API|an oracle to each user]], allowing apps ask for any personal context they need to improve UX and giving them access to a social cognition layer. ## Why We Built Honcho -^5125da +^x125da We believe Honcho will be a key part of the AI application development stack. @@ -55,7 +55,7 @@ Still, when interacting with an AI app, there's a sense that it *should* be gett There's [[Announcing Honcho's Private Beta#^5b6ef1|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 -^1d2d3c +^cd2d3c ## What's Next for Honcho diff --git a/content/blog/Introducing Honcho's Dialectic API.md b/content/blog/Introducing Honcho's Dialectic API.md index abf704f21..40f87704b 100644 --- a/content/blog/Introducing Honcho's Dialectic API.md +++ b/content/blog/Introducing Honcho's Dialectic API.md @@ -51,7 +51,6 @@ Why is a dialectic API the right way to solve the problem of user context in LLM Not only is it ideal from a development and design perspective, it's optimal for the particular task of personal context and user identity. #### The DevEx Case - ^a14c2f Our Dialectic API is single endpoint for everything personalization. @@ -65,8 +64,7 @@ Further, when agents can communicate directly using natural language, there's no However, this doesn't mean the developer now needs to be a prompting expert, fluent in all its esoterica. Honcho is an expert in personal context and theory of mind reasoning, so your prompts can be adaptive and ad hoc, and Honcho will figure out the rest. When you're ready, you can even offload the queries to your app-side LLM. #### The ML Case - -^07f7f8 +^x7f7f8 Extra context improves user response generation, the more specific, the better. Focus on ML to crush your vertical, let Honcho personalize it by default.