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Python Decorators Unleashed [eBook]
This comprehensive guide will take your Python skills to the next level by exploring the world of decorators, which allow you to enhance functions and classes without cluttering your codebase.
A well-structured Python script will clearly separate logic into functions, handle user input robustly, and provide meaningful feedback in case of errors.
The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.
Large language models display emergence behaviors: when the parameter count is scaled to a certain value, suddenly the LLM is capable of performing a new task not possible at a smaller size.
The landscape of Artificial Intelligence is rapidly evolving, and one of the most exciting trends is the ability to run powerful Large Language Models (LLMs) directly on your local machine.
From Google to ChatGPT, we show the most visited websites in the world dominated by search engines and social media giants.
Building serverless AI agents has recently become a lot simpler.
“I’m sorry, I can’t help with that.”
Showcase your LLM project with Streamlit and Hugging Face Spaces using Free CPU Instances.
Learn to build AI agents, fine-tune reasoning models, and master practical AI skills with these courses.
Imagine you’re staring at a database containing thousands of merchants across multiple countries, each with its own website.
A few months ago, a platform engineer at a mid-sized fintech wired OpenAI into a Terraform pipeline.
Learn how you can fine-tune language models for specific use cases.
Modular Retrieval Augmented Generation (RAG) applications enhance accuracy and relevancy by assigning ownership to dedicated domain experts.