Memory Calculation
Disclaimer: This post has been translated to English using a machine translation model. Please, let me know if you find any mistakes.
If you want to calculate the memory you need to run a model, use this space from HuggingFace.
Disclaimer: This post has been translated to English using a machine translation model. Please, let me know if you find any mistakes.
If you want to calculate the memory you need to run a model, use this space from HuggingFace.
Third and final part of the Deep Research with LangGraph series. Implement the Writer agent that drafts the final report from the research, assemble the full deep researcher graph, and run the complete assistant end to end.
Second part of the Deep Research with LangGraph series. Build the Research Supervisor that coordinates several Researche...
First part of the series on building an AI research assistant with LangGraph. Learn the system architecture and build th...
Let's talk.
maximofn@gmail.com
Machine Learning and AI specialist. I develop solutions with generative AI, intelligent agents and custom models.
AI agents, powered by LLMs, promise to transform applications. But are they simple executors today or future intelligent collaborators? To reach their...
Learn to create an IA system to execute efficiently on a device
Hugging Face spaces allow us to run models with very simple demos, but what if the demo breaks? Or if the user deletes it? That's why I've created docker containers with some interesting spaces, to be able to use them locally, whatever happens. In fact, if you click on any project view button, it may take you to a space that doesn't work.
Let's talk.
maximofn@gmail.com
Machine Learning and AI specialist. I develop solutions with generative AI, intelligent agents and custom models.
Dataset with jokes in English
Use: Fine-tuning text generation models for humor
Dataset with translations from English to Spanish
Use: Training English-Spanish translation models
Dataset with Netflix movies and series
Use: Netflix catalog analysis and recommendation systems