Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
Visualize your Python code while you type it in PyCharm, Emacs, Sublime Text, or even your browser. Live coding tightens the feedback loop between making a change to your code and seeing the behaviour ...
Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...
A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
A hands-on Python DevOps toolkit built for automation, cloud workflows, and CI/CD pipelines. From shell scripting to API integration, this repo demonstrates real-world use cases for platform engineers ...
The software environment is Windows 11 x64, the programming language is Python 3.9, and the tool is PyCharm 2024.2.3. The deep learning framework PyTorch 2.4.1 is built on the server side to implement ...
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