Surface Duo Blog

OpenAI Assistant code interpreter on Android

December 10, 2023 Dec 10, 2023 12/10/23

Craig Dunn

Hello prompt engineers, Over the last few weeks, we’ve looked at different aspects of the new OpenAI Assistant API, both prototyping in the playground and using Kotlin in the JetchatAI sample. In this post we’re going to add the Code Interpreter feature which allows the Assistants API to write and run Python code in a sandboxed ...

OpenAI Assistant on Android

November 30, 2023 Nov 30, 2023 11/30/23

Craig Dunn

Hello prompt engineers, This week we’re continuing to discuss the new Assistant API announced at OpenAI Dev Day. There is documentation available that explains how the API works and shows python/javascript/curl examples, but in this post we’ll implement in Kotlin for Android and Jetpack Compose. You can review the code in this ...

Test the latest AI features in Kotlin

November 23, 2023 Nov 23, 2023 11/23/23

Craig Dunn

Hello prompt engineers, Last week we looked at one of the new OpenAI features – Assistants – in the web playground, but good news: the OpenAI Kotlin library is already being updated with the new APIs and you can start to try them out right now in your Android codebase with snapshot package builds. With a few minor configuration ...

OpenAI Assistants

November 18, 2023 Nov 18, 2023 11/18/23

Craig Dunn

Hello prompt engineers, OpenAI held their first Dev Day on November 6th, which included a number of new product announcements, including GPT-4 Turbo with 128K context, function calling updates, JSON mode, improvements to GPT-3.5 Turbo, the Assistant API, DALL*E 3, text-to-speech, and more. This post will focus just on the Assistant ...

Chunking for citations in a document chat

November 12, 2023 Nov 12, 2023 11/12/23

Craig Dunn

Hello prompt engineers, Last week’s blog introduced a simple “chat over documents” Android implementation, using some example content from this Azure demo. However, if you take a look at the Azure sample, the output is not only summarized from the input PDFs, but it’s also able to cite which document the answer is drawn from...

Document chat with OpenAI on Android

November 3, 2023 Nov 3, 2023 11/3/23

Craig Dunn

Hello prompt engineers, In last week’s discussion on improving embedding efficiency, we mentioned the concept of “chunking”. Chunking is the process of breaking up a longer document (ie. too big to fit under a model’s token limit) into smaller pieces of text, which will be used to generate embeddings for vector similarity ...

More efficient embeddings

October 29, 2023 Oct 29, 2023 10/29/23

Craig Dunn

Hello prompt engineers, I’ve been reading about how to improve the process of reasoning over long documents by optimizing the chunking process (how to break up the text into pieces) and then summarizing before creating embeddings to achieve better responses. In this blog post we’ll try to apply that philosophy to the Jetchat ...

“Search the web” for up-to-date OpenAI chat responses

October 12, 2023 Oct 12, 2023 10/12/23

Craig Dunn

Hello prompt engineers, Over the course of this blog series, we have investigated different ways of augmenting the information available to an LLM when answering user queries, such as: However, there is still a challenge getting the model to answer with up-to-date “general information” (for example, if...

Android tokenizer for OpenAI

October 5, 2023 Oct 5, 2023 10/5/23

Craig Dunn

Hello prompt engineers, The past few weeks we’ve been extending JetchatAI’s sliding window which manages the size of the chat API calls to stay under the model’s token limit. The code we’ve written so far has used a VERY rough estimate for determining the number of tokens being used in our LLM requests: This very ...