Learn how to build a Python arbitrage betting bot that compares odds across US sportsbooks, detects pricing gaps, calculates ...

cli-task-manager/ ├── src/ │ ├── __init__.py │ ├── task.py # Task dataclass with Priority enum and business methods │ ├── storage.py # JSON persistence layer — serialize/deserialize tasks │ ├── ...

Turri, V., Schieber, N., Loughin, C., and Brooks, T., 2026: The ELM Library: An LLM Evaluation Toolset. Software Engineering Institute blog, Accessed August 7, 2026 ...

We begin by importing the core Python modules that we need for system operations, downloads, timing, and JSON handling. We check whether we are running inside Google Colab, define a reusable section ...

Ollama has become the standard for running Large Language Models (LLMs) locally. In this tutorial, I want to show you the most important things you should know about Ollama. Ollama is an open-source ...

In our earlier article, we demonstrated how to build an AI chatbot with the ChatGPT API and assign a role to personalize it. But what if you want to train the AI on your own data? For example, you may ...

In this advanced tutorial, we aim to build a multi-agent task automation system using the PrimisAI Nexus framework, which is fully integrated with the OpenAI API. Our primary objective is to ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

A set of instructional materials, code samples and Python scripts featuring LLMs (GPT etc) through interfaces like llamaindex, LangChain, OpenAI's Agent SDK, Chroma (Chromadb), Pinecone etc. The code ...

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...