Memory Calculator: Estimate LLM Memory

13 of november of 2024

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.

Continue reading

Deep Research with LangGraph: Build an AI Research Assistant from Scratch

Learn how neural networks work from scratch with a practical linear regression example. This beginner-friendly tutorial explains artificial neurons, parameter initialization, loss functions, and mean squared error (MSE) with step-by-step code examples in Python.

MCP Elicitation: Implementing Elicitation in Servers with FastMCP and Python

Learn how to implement elicitation in MCP (Model Context Protocol) servers with FastMCP. Complete step-by-step tutorial ...

MCP Durability: Server and Client with Persistence for Long-Running Tasks

Learn to build durable MCP server and client for long-running tasks with persistence. Complete Model Context Protocol tu...

Last posts -->

Have you seen these projects?

Gymnasia

Horeca chatbot

Naviground

View all projects -->

>_ Available for projects

Do you have an AI project?

Let's talk.

maximofn@gmail.com

Machine Learning and AI specialist. I develop solutions with generative AI, intelligent agents and custom models.

Write me LinkedIn

Do you want to watch any talk?

Tomorrow's Agents: Deciphering the Mysteries of Planning, UX and Memory

AI agents, powered by LLMs, promise to transform applications. But are they simple executors today or future intelligent collaborators? To reach their...

Create your own Apple intelligence

Learn to create an IA system to execute efficiently on a device

Last talks -->

Do you want to improve with these tips?

o1 prompt engineering

Create better prompts for o1 following an example

Memory profiler

See the memory usage of a script

DataLoader with pin_memory and num_workers

Increase DataLoader performance with pin_memory and num_workers

Last tips -->

Use this locally

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.