Deploy Applications in GCP: Build Docker and Serve Application with StreamLit
Aprende a desplegar aplicaciones en GCP: clona repositorios, instala Docker, crea imágenes y sirve aplicaciones con StreamLit.
Serving LLMs with MLflow - Phi-3-mini-4k-instruct Model
Aprende a crear, guardar y cargar modelos LLM con MLflow, utilizando Phi-3-mini-4k-instruct para inferencia local en tu computadora.
MLOps: Crafting Custom Models with Python Model and PyFunc in MLFlow
Craft custom models using MLFlow's PythonModel and pyfunc, enhancing your MLOps workflow with flexible and reusable machine learning components.
LangServe: Creating a RESTful API for Langchain
Create a RESTful API for LangChain runnables and chains, enabling seamless integration of machine learning models into applications.
Langchain: Interacting with APIs Using OpenAI
Explore API interaction using Langchain and OpenAI models for data science and machine learning applications. Learn practical implementation techniques.
Web Scraping with Langchain and OpenAI - Working with HTML Content
Learn web scraping techniques using Langchain and OpenAI, focusing on extracting and processing HTML content for data science and machine learning applications.
Code Understanding with Langchain, CodeLLama, Llama.cpp and OpenAI
Explore Langchain for Python code understanding, integrating CodeLLama, Llama.cpp, and OpenAI for enhanced machine learning capabilities.
Langchain: Working with Structured Data, Databases, and CSV Files
Explore structured data manipulation using Langchain and OpenAI for data science and machine learning applications.
Building Chatbots with LangChain and OpenAI
Construye chatbots avanzados utilizando LangChain y OpenAI. Aprende técnicas de procesamiento de lenguaje natural para crear asistentes virtuales inteligentes y personalizados.
Data Extraction with LangChain and OpenAI for Machine Learning and Data Science
Extraer información de fuentes no estructuradas utilizando LangChain y OpenAI para aprendizaje automático y ciencia de datos.
Langchain and OpenAI Document Summarization with Machine Learning
Explore document summarization using LangChain and OpenAI. Learn to implement efficient text condensation techniques for machine learning and data science applications.
Microsoft AI: Semantic Kernel C# SDK - Semantic Memory with Chroma
Develop a RAG component using Semantic Kernel, Chroma, and OpenAI models in C#. Enhance machine learning projects with advanced AI techniques.
Microsoft AI: Semantic Kernel C# SDK Integration with Ollama - Machine Learning and Data Science
Integrate Microsoft's Semantic Kernel C# SDK with Ollama, exploring Phi3 model and coding in C# for enhanced machine learning capabilities.
MLOps: C# Image Recognition with ResNet50v2 Model
Implement image recognition using ResNet50v2 in C# with ONNX and SixLabors.ImageSharp for efficient MLOps workflows.
Converting BERT to ONNX and Inference with BERTTokenizer for C# - Machine Learning and Data Science
Convert Bert model to ONNX format and create a C# app using BERTTokenizer for inference with ONNX transformer models.
Microsoft AI: Introduction to the Semantic Kernel SDK
Explore Microsoft's Semantic Kernel SDK for integrating LLMs with C#, Python, and Java. Learn to combine AI models with traditional programming for enhanced applications.
NLP Spacy: PII/GDPR Detection with Presidio - Part 2 - Code and REST API
Develop a PII/GDPR detector using Microsoft Presidio and Spacy, implementing a REST API with FastAPI and CI/CD pipelines with Azure DevOps and Docker Compose.
Computer Vision: OCR Tesseract in C# - Data Science and Machine Learning
Implement OCR using Tesseract library in C# for extracting text from images, enhancing your computer vision skills.
Object Detection with Faster R-CNN in C# Using ONNX on CPU
Implement object detection using Faster R-CNN in C# with ONNX format on CPU, leveraging machine learning for efficient image analysis.
Microsoft AI: Semantic Kernel C# SDK Chatting with Phi3 4k ONNX CPU - Machine Learning and Data Science
Develop a ChatBot using Phi3 Mini 4k Instruct ONNX model with Semantic Kernel C# SDK, integrating custom services for machine learning applications.
LLMOPs: Multimodal Prompting and Inference with Phi-3 Vision 128K Instruct on CPU - ONNX 4-Bit Quantization in C#
Explore multimodal prompting and CPU inference using Phi 3 Vision 128K Instruct, quantized to 4 bits in ONNX format, with C# implementation for efficient machine learning operations.