In this simple example we take a prompt, build a better prompt from a template, and then invoke the LLM. By default the LLM deployment is gpt-35-turbo as defined in ./infra/main.parameters.json but ...

Welcome to the GPT-4 Turbo Chat Example repository! This project showcases a simple chat application built with Python, Flask, and OpenAI's GPT-4 Turbo model. The application features user ...

Use the Python version of Google's agent development toolkit to quickly develop AI-powered agents with diverse workflows.

Python has a plethora of machine learning libraries, but the top 5 libraries are TensorFlow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries offer a wide range of tools for various ...

Secure Python Execution for AI TL;DR Key Takeaways : LangChain Sandbox provides a secure and isolated environment for executing untrusted Python code, using technologies like Pyodide and Deno for ...

Not to be overshadowed by the many AI announcements from AWS re:Invent this week, Pydantic, the team behind the leading open-source Python programming language data validation library, launched ...