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Gladia API using `asyncio` and `aiohttp`with Python

Whisper

Transcription

asyncio

aiohttp

Gladia unveils a great “Speech-to-Text” service, powered by their Whisper-Zero ASR…

Francisco Mussari

RAG on Microsoft Learning Paths - Part 2. Embeddings

RAG

LLM

Embeddings

SQLAlchemy

PostgreSQL

Supabase

pgvector

Vector Search

We’ve successfully stored our contextual data in a free…

Francisco Mussari

RAG on Microsoft Learning Paths - Part 1. Web Scraping and Supabase

RAG

LLM

Embeddings

Power BI

SQLAlchemy

PostgreSQL

Supabase

BeautifulSoup

Retrieval Augmented Generation (RAG) provides Large Language Models (LLMs) context and access to a knowledge base, leading to more precise answers and fewer hallucinations.

Francisco Mussari

Collaborative Filtering with PyTorch and miniai - MovieLens 20M

Movielens

miniai

PyTorch

RecSys

Recommender

Movielens 20M

t-SNE

Embeddings

In this post we are going to train a Matrix Factorization model on MovieLens 20M Dataset.

Francisco Mussari

RecSys MLOps. BigQuery ML and Vertex AI. Part 2

Movielens

BigQuery

BigQuery ML

RecSys

Recommender

Pipeline

Vertex AI

MLOps

Part 1 was about creating a Vertex AI pipeline for training and deploying Matrix Factorization model using BigQuery ML.

Francisco Mussari

RecSys MLOps. BigQuery ML and Vertex AI. Part 1

Movielens

BigQuery

BigQuery ML

RecSys

Recommender

Pipeline

Vertex AI

MLOps

Francisco Mussari

Dimensional Modelling with dbt and different flavors of PostgreSQL

dbt

Data-Engineer-Camp

Datawarehousing

Kimball

The exploration I’m documenting here about dbt (Data Build Tool) is almost a recreation of the awsome tutorial Building a Kimball dimensional model with dbt b…

Francisco Mussari

Telecommunication towers component clasification. Part 3. PyTorch and miniai

deeplearning

dataloaders

API

transforms

Walk with fastai

PyTorch

fastai

miniai

This is the third part of a series of posts dedicated to image classification of components that are pats of telecommunication structures.

Francisco Mussari

Telecommunication towers component clasification. Part 2. PyTorch

deeplearning

dataloaders

API

transforms

Walk with fastai

PyTorch

fastai

Zach Mueller proposed us to create a Gradio app as a homework for for the course Walk with fastai, the missing pieces for success.

Francisco Mussari

Telecommunication towers component clasification - Part 1. fastai

fastai

deeplearning

Walk with fastai

PyTorch

The first attempt for developing this idea started as the homework assignment for lesson 1: Deep Learning 2019 (v3) fast.ai course.

Francisco Mussari

Exploring fastai API levels to create DataLoaders

fastai

deeplearning

dataloaders

API

transforms

Walk with fastai

PyTorch

In the first lesson of the course Walk with fastai, the missing pieces for success, Zachary Mueller explained to us the three levels he sees in fastai…

Francisco Mussari

Building a Full-Text Search Engine for fastai YouTube channel

fastai

deeplearning

full-text search

SQLite

Streamlit

Part 2. Deploying the web app to Streamlit

Francisco Mussari

Building a Full-Text Search Engine for fastai YouTube channel

fastai

deeplearning

full-text search

SQLite

pytube

youtube-transcript-api

Part 1. Extracting transcriptions and creating SQLite’s searchable index

Francisco Mussari

Telecom Equipment Detection with Azure Custom Vision (Free) - Part 3

computer-vision

deeplearning

azure

custom-vision

object-detection

gradio

hugging face

Part 3. Deploy Gradio Web App

Francisco Mussari

Telecom Equipment Detection with Azure Custom Vision (Free) - Part 2

computer-vision

deeplearning

azure

custom-vision

object-detection

Part 2. Label images with Smart Labeler

Francisco Mussari

Telecom Equipment Detection with Azure Custom Vision (Free) - Part 1

computer-vision

deeplearning

azure

custom-vision

object-detection

Part 1. Create the service and upload the pictures

Francisco Mussari