Fine-Tuning Llama 3 for Specific Tasks
A comprehensive guide on preparing datasets and using LoRA to fine-tune open-source models on consumer hardware.
A deep dive into the latest GPT-4o capabilities, security implications, and Python automation scripts for scalable workflows.
import openai
def automate_workflow(data):
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": data}]
)
return response.choices[0]
A comprehensive guide on preparing datasets and using LoRA to fine-tune open-source models on consumer hardware.
Understanding the risks of prompt injection in production applications and strategies to mitigate them effectively.
Stop wasting time on Excel. Learn how to write a simple Python script to fetch, clean, and email your daily business metrics.
Best practices for designing chat interfaces that feel natural, handle errors gracefully, and guide user intent.
A technical deep dive into using OpenCV and YOLOv8 to control robotic arms for sorting tasks.
Want to contribute to major AI projects? Here is a roadmap to your first PR in LangChain, Hugging Face, or PyTorch.
A deep dive into the latest GPT-4o capabilities, security implications, and Python automation scripts for scalable workflows.
Learn how to create AI agents that can reason, plan, and execute tasks autonomously using LangChain and Python
We ran 50 coding tests on both models focusing on Python generation and debugging capabilities. The results might change your stack choice.
A step-by-step guide to creating your own Retrieval-Augmented Generation system for querying private documentation.
As models become more intuitive, the art of complex prompting is evolving. Here is what the future holds for this skill.