Recent articles filed under Machine Learning

Development reinvented: System Thinking with Copilot Workspace

Created 8/3/2024 8:17:30 AM
Filed in Machine Learning

Last week, I got to try Copilot Workspace for the first time with Joop Snijder. We had a great time trying out this new AI tool that will take developer productivity to the next level. We were so happy; we tried a bunch of different things and were unable to keep quiet about this new feature. It's time to dive into the details of why I think this feature is going the way we work as developers.

Securing AI: Building Safer LLMs in the Face of Emerging Threats

Created 4/12/2024 11:32:52 AM
Filed in Machine Learning

The future of computing is changing rapidly with the arrival of foundational models like GPT-4. We're learning a lot about how to use these models, but as we're working towards new applications, we shouldn't forget about keeping information safe.

Better python project management starts now: A quick introduction to Rye

Created 2/17/2024 12:04:01 PM
Filed in Machine Learning

Have you ever found yourself tangled in the web of project management, trying to juggle different Python versions, packages, and environments, all while keeping your sanity intact? You're not alone. I've been there, and felt the frustration. But, fear not! I stumbled upon some game-changing tools and strategies that transformed my Python project management challenges into a breeze.

Building LLM applications the MLOps way

Created 2/5/2024 7:20:52 PM
Filed in Machine Learning

Building applications with large language models is the coolest thing around right now. At least if my LinkedIn feed is to believe. However, I keep getting a feeling of Deja Vu about this. I’ve been here before. Indeed, the models are new, but how we deploy and test them feels somewhat familiar. Someone must have changed the matrix. In this post, we’ll look at building a generative AI application using a large language model. We’ll focus on how to approach the project from an operations and development process perspective and learn what’s new in building LLM applications and what’s not.

Are open source large language models the future? Let's find out with an example

Created 12/18/2023 9:16:37 AM
Filed in Machine Learning

Many are raving about the capabilities of GPT-4. A growing group of people is worried that OpenAI is getting to powerful. I spend time exploring open source large language models to figure out, how to set them up, and what's missing. Read on to learn more.

Building language model applications with Azure OpenAI Service

Created 7/19/2023 9:53:51 AM
Filed in Machine Learning

We've been using ChatGPT quite a lot at work. As we used it more and more we found that keeping data within our own environment has become more important. In this post we'll explore how you can use Azure OpenAI as an alternative to OpenAI to keep your chat data private. Take a look!

The Art of AI Implementation: Strategic Steps for Building Effective LLM Applications

Created 6/9/2023 7:56:29 AM
Filed in Machine Learning

We’ve seen a lot of demonstrations lately with large language models. Everyone is racing to get on board with ChatGPT and other large language models (LLMs). I’ve never seen so many experts pop up in such a short time. But is there a method to the madness? Are we doing the right thing by staying away from the hype or should we go all in? It’s a question I get a lot this week. Here’s my answer.

How to enhance your C# application with a large language model using Semantic Kernel

Created 5/29/2023 9:03:31 AM
Filed in Machine Learning

While chat applications have received much attention, there is so much more you can achieve by integrating language models into your projects. Imagine automating budgeting, generating engaging tweets, transforming documents, or creating compelling conference abstracts. Semantic Kernel offers a lightweight SDK that simplifies the process, allowing you to build language applications effortlessly. In this post, we'll explore how you can leverage Semantic Kernel to add powerful language skills, from installation to building skills and integrating them into your C# application. Unleash the potential of large language models and take your projects to new heights.

Fun ChatGPT prompts to improve your Python code

Created 4/23/2023 7:15:42 PM
Filed in Machine Learning

Let's explore fun prompts for improving your Python code using GPT-4. These prompts include writing docstrings, writing automated tests, checking your code for optimizations and bugs, and refactoring a method. While GPT-4 could be better, it's a significant improvement over doing these tasks by hand.

Why You Need a Sandbox Separate from Your ML Pipeline to Create Successful Experiments

Created 2/27/2023 7:08:58 PM
Filed in Machine Learning

Machine learning operations (MLOps) is a rapidly evolving field that is transforming the way businesses approach data science. One of the most critical aspects of MLOps is the ability to create and test experiments quickly and efficiently. While it may be tempting to use your production ML pipeline as a testing ground, it's essential to have a separate sandbox environment for several reasons.

Github Copilot: What you need to know to get started with AI-assisted programming

Created 2/16/2023 8:21:39 AM
Filed in Machine Learning

We’re starting with a pilot to test Github Copilot at Info Support. This is awesome news for us because we can now learn how much copilot is going to help us with our code. In the past few months, I’ve been testing Github Copilot on my own projects and learned a ton about things like use cases and plugins for various IDEs.

Did you know DVC doesn't handle large datasets? Neither did we and here's how we fixed it

Created 1/13/2023 9:37:46 AM
Filed in Machine Learning

We hit a nice roadblock yesterday while working on a dataset with 5 million samples. It took us 8 hours to upload the dataset and 11 hours to download and unpack it. We learned some valuable lessons there that I’ll discuss in this post so you don’t have to run into the same issues.