AI & Automation Hub

Featured Insight

Automating the Future: LLMs in Enterprise

A deep dive into the latest GPT-4o capabilities, security implications, and Python automation scripts for scalable workflows.

py_script.py

import openai

def automate_workflow(data):

response = client.chat.completions.create(

model="gpt-4o",

messages=[{"role": "user", "content": data}]

)

return response.choices[0]

We ran 50 coding tests on both models focusing on Python generation and debugging capabilities. The results might change your stack choice.

As models become more intuitive, the art of complex prompting is evolving. Here is what the future holds for this skill.

A step-by-step guide to creating your own Retrieval-Augmented Generation system for querying private documentation.

Strategies to reduce VRAM consumption and increase inference speed when running Mistral or Llama locally.

Exploring the next generation of processors designed specifically for neural network inference and training.

How to set up and fine-tune local large language models for unparalleled control and privacy in your smart home.