Using your own data with GPT models in Azure OpenAI - Part 3: Calling Azure OpenAI Service via .NET SDK

azure ai openai ai search

In the last post of this series we set up a demo .NET client application that was able to call and utilize a GPT model hosted in Azure OpenAI Service, which in turn was integrated with our own custom data via Azure AI Search. We did this using the bare bones REST API - and in part three, it’s time to shift gears and explore how to accomplish similar task using the .NET SDK, which offers a more streamlined and less ceremonious approach over calling the HTTP endpoints directly.

Exploring quantum encryption with certified deletion with Q#

q-sharp quantum computing

For the last few years (2022, 2021 and 2020), around this time of the year, I published a special festive Q# blog post as part of the Q# Holiday Calendar, organized by Mariia Mykhailova from Microsoft Quantum . While this year there is unfortunately no “official” Q# calendar initiative, I would like to keep the 🎄 holiday spirit alive and prepared a special Q# blog post for this occasion.

Today, we are going to have a look at quantum certified deletion, with examples in Q#.

Shuffling an array in Q#

q-sharp quantum computing

The Q# standard library is equipped with an extensive collection of array functions, meeting a wide array of algorithmic requirements. It further includes a variety of functions, types, and operations beneficial for generating random values and handling different probability distributions.

However, a somewhat notable omission is the lack of a built-in feature for shuffling or randomizing an existing array. In this blog post, we will build a straightforward helper operation to bridge this functional gap.

Using your own data with GPT models in Azure OpenAI - Part 2: Calling Azure OpenAI Service via REST API

azure ai openai ai search

In the previous part of this series, we have successfully set up Azure AI Search, to have it ready for integration with Azure OpenAI Service. The ultimate goal is to take advantage of the retrieval-augmented-generation pattern, and enhancing our interactions with the GPT model with our own custom data.

Let’s continue building this today.

dotnet-script 1.5 is out with .NET 8.0 support

net 8 c-sharp dotnet-script

This morning, we released version 1.5 of dotnet-script. The latest release introduces support for .NET 8.0 and C# 12 and is available, as usually, through Github releases and on Nuget. You will need to have at least the .NET SDK 8.0.100 installed to take advantage of that feature set.

Using your own data with GPT models in Azure OpenAI - Part 1: Setting up Azure AI Search

azure ai openai ai search

There is no question that the emergence of generative AI is going to significantly alter various aspects of our daily lives. At the same time, most of the large language models (LLMs) are designed as general-purpose black boxes and their utility is initially confined to the data they were trained on. However, it is possible to extend their functionality and reasoning to any custom data set, be it private or public, even without the massive effort that would be needed to retrain or even fine-tune them.

We are going to start exploring that concept today with a multi-part post series on “bringing your own data” to Azure OpenAI. In part one today, we will set up the necessary Azure resources and prepare the stage for a client application integration, which will follow in parts two and further.

Accessing private members without reflection in .NET 8.0

net 8 csharp

One of the cool new features coming in .NET 8.0 is the ability to take advantage of a zero-overhead approach to access private members, via the UnsafeAccessorAttribute. This is a great improvement over the traditional, slow, reflection-based approach, as the new functionality is not only fast (compile-time) but also compatible with Native AOT.

Let’s have a quick look at the feature, which was originally tracked by this Github issue.

dotnet WASI applications in .NET 8.0

net 8 wasi wasm ffi

At the end of last year I blogged about using .NET 7 and the prototype dotnet WASI SDK from Steve Sanderson to build WASM-WASI applications. That SDK is now deprecated and the WASI workload has instead been integrated into the main .NET 8, which will ship in November this year. The workload is still flagged as experimental, but there is now commitment from the .NET runtime and SDK teams to make the WASM-WASI experience first class in .NET.

In this post we will explore where this workload is at today, and what we can and can’t do with it at this stage.

Using embeddings model with Azure OpenAI Service

azure ai openai

I recently blogged about building GPT-powered applications with Azure OpenAI Service. In that post, we looked at using the text-davinci-003 model to provide classification capabilities for natural text - more specifically, we categorized and rated scientific papers based on the interest area (note that the recommended model for this task now is gpt-35-turbo now).

In today’s post we are going to continue exploring Azure OpenAI Service, this time looking at the embeddings model, text-embedding-ada-002.

Announcing Strathweb.Dilithium - a set of ASP.NET helper libraries for post quantum cryptography

security quantum computing c-sharp asp.net core cryptography

Earlier this year I blogged about post-quantum cryptography in .NET using Dilithium and Kyber. This was then followed by another post, which showed how Dilithium can be wired into a popular .NET Identity Server, Duende Identity Server, for token signing purposes.

Today I would like to announce Strathweb.Dilithium, a set of .NET helper libraries to facilitate working with Dilithium in ASP.NET Core projects.

About

Hi! I'm Filip W., a software architect from Zürich 🇨🇭. I like Toronto Maple Leafs 🇨🇦, Rancid and quantum computing. Oh, and I love the Lowlands 🏴󠁧󠁢󠁳󠁣󠁴󠁿.

You can find me on Github, on Mastodon and on Bluesky.

My Introduction to Quantum Computing with Q# and QDK book
Microsoft MVP

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