Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...
Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...
What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...
Many users are concerned about what happens to their data when using cloud-based AI chatbots like ChatGPT, Gemini, or Deepseek. While some subscriptions claim to prevent the provider from using ...
This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a ...
Do you ever feel that agreeing to review an academic paper guarantees a wasted workday? You’re not alone. Many researchers spend hours marking up a manuscript, only to realize that they need even more ...
Curious about DeepSeek but worried about privacy? These apps let you use an LLM without the internet
But thanks to a few innovative and easy-to-use desktop apps, LM Studio and GPT4All, you can bypass both these drawbacks. With the apps, you can run various LLM models on your computer directly. I’ve ...
We will now walk through the steps of finding, downloading and configuring a custom model. All these steps are required for it to (possibly) work. Jinja2 templates are complicated this wiki is written ...
Robbie has been an avid gamer for well over 20 years. During that time, he's watched countless franchises rise and fall. He's a big RPG fan but dabbles in a little bit of everything. Writing about ...
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