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#Python

Building NLP solutions: strategies and tools

Here we give a roadmap to creating an effective NLP service, and list some of our favourite tools.

The Rise of Applied AI Engineers and the Shift in AI Skillsets

Discover how the rise of Applied AI Engineers is reshaping the AI development landscape, bridging the gap between cutting-edge AI capabilities and practical, real-world applications for businesses.

Bytewax & Softlandia Workshop Recap: Stateful Streaming Slack GenAI RAG Bot

On February 16th, Softlandia and Bytewax ran an engaging online workshop designed to introduce the basics of incorporating AI into Slackbots.

Serverless LLMs (demo!) and other GenAI trends for 2024

Small language models are one of the biggest trends in GenAI in 2024. They can be already run for free on serverless platforms!

Unlocking Qdrant + Python on Azure: A Guide to Deployment and Authentication

Learn how to deploy and secure Qdrant on Azure with App Service authentication, allowing safe interaction from any environment. With Python examples!

Real-time data processing in Python - technology evaluation

In this blog post, we take a look at stateful stream processing technologies for Python. All code is made available.

Tools of the AI engineer

In this blog post, we’ll give a practical tutorial to building your own LLM-based applications. Specifically, we’ll build an AI application that uses your private data to perform tasks.

Metaflow in Practice

In this blog post, we'll show how to use Metaflow to write production-grade data science workflows.

Distributed Data Science with Metaflow and Dask

In this blog post, we’ll show how to progress with Metaflow when you want to start utilizing the cloud. We’ll use open source software in the Azure cloud to boost our productivity.

Scheduling data science workflows in Azure with Argo and Metaflow

In this blog post, we show how to automate data processing pipelines with Metaflow in Azure using Argo Workflows!

Don't Get Left Behind: Upgrade to Python 3

If you are still using Python 2, it's time to make the switch to Python 3. By continuing to use Python 2, you are missing out on important updates and support, and your applications may become vulnerable to security risks.

Revolutionizing Hardware Testing with Python-based Solutions

Python is the ideal language for creating high-quality, scalable, and reliable hardware testing solutions. Our team has decades of experience in the field and has successfully developed custom Python-based test systems for a wide range of hardware.