Make a real-time AI application with FastRTC
If you have problems making a real-time AI application, FastRTC can help you. In this post I explain how to use it.
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2024-01/actuality
Development of a chatbot for HoReCa (hotels, restaurants and cafes), through which cooks and waiters can talk to the chatbot to make queries about recipes and menus.
Python
LangChain
PostgreSQL
PGVector
React
Kubernetes
Docker
GitHub Actions
2024-09/2024-12
AI Tech lead. Technical leadership, development supervision and collaboration in the correct management of technical projects. Proposal of new solutions.
Python
Pytorch
HuggingFace
Azure
Azure Machine Learning
2022-09/2024-09
Machine Learning Engineer, vision algorithms development for autonomous vehicle and leadership in RAG system to obtain documentation information
Python
Pytorch
HuggingFace
TensorRT
Nvidia Jetson
2017-10/2022-07
AI, HW and FW development.
Python
Pytorch
YOLO
Altium
STM32
C
2014-05/2017-10
HW and FW development.
Altium
C
Eclipse
2013-01/2014-05
Help project manager in project management. HW and FW development.
Altium
C
MPLAB
If you have problems making a real-time AI application, FastRTC can help you. In this post I explain how to use it.
Do you want to have your own Sora, but also generate good videos? In this post I explain how to do it with HuggingFace Inference Providers and Replicate.
Do you want to deploy a backend with your own LLM? In this post I explain how to do it with HuggingFace Spaces, FastAPI, Langchain and Docker.
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.
Dataset with jokes in English
Dataset with translations from English to Spanish
Dataset with Netflix movies and series