From Robotics to AI NPCs - Embodied AI Agents in Games
Explore the fusion of robotics and AI in creating dynamic NPCs for games. Learn how multi-modal LLMs enable interactive virtual characters through simulation-based training techniques.
Fine-Tune T5 for Document Classification - Part 1: Creating Dataset with Web Scraping
Personalize Flan-T5 for document classification by creating a custom dataset using web scraping techniques with DuckDuckGo.
Serving Flask and FastAPI Applications in Google Colab
Aprenda a servir aplicações Flask ou FastAPI no Google Colab ou na nuvem, utilizando técnicas de ciência de dados e aprendizado de máquina.
Neo4J Graph Data Science: Load Data Using GDS
Upload data to Neo4J using Graph Data Science Library. Learn efficient techniques for data integration in graph databases for machine learning and data science applications.
Vertex AI: Gemini Pro Multimodal Chatbot - Creating Conversational AI with Python SDK
Create a conversational multimodal chatbot using Vertex AI, Gemini Pro 1.5, and Python SDK. Learn to implement advanced AI capabilities for interactive and visual-based conversations.
Installing WSL with CUDA Support and PyTorch for Data Science and Machine Learning
Aprenda a instalar WSL con soporte CUDA y PyTorch para potenciar sus proyectos de aprendizaje automático y ciencia de datos en Windows.
Creating a Service Account in Google Cloud for Machine Learning API Access
Aprenda a crear una cuenta de servicio en Google Cloud para acceder a APIs y servicios de GCP desde su aplicación.
Creating a QA Tool Using Langchain, OpenAI, and Neo4J
Develop a QA tool using Langchain, Neo4J, and OpenAI models for advanced data science and machine learning applications.
Counting Tokens with OpenAI's Tiktoken Library for API Usage
Learn to count tokens consumed by OpenAI's API using the Tiktoken library, optimizing your usage and costs.
MLOps with MLflow - Creating Execution Pipelines Using Projects and Databricks
Explore MLflow Projects to create execution pipelines locally and leverage Databricks for tracking and artifact storage in machine learning workflows.
Microsoft AI: Introduction to the Semantic Kernel SDK in C#
Explore Microsoft's Semantic Kernel SDK for integrating LLMs with C#. Learn to combine AI models with traditional programming for enhanced applications.
Whisper OpenAI Speech-to-Text and Translation Model
Aprende a utilizar Whisper, el modelo de reconocimiento de voz de OpenAI, para transcribir y traducir audio con precisión.
Computer Vision: OCR Tesseract for Different Formats and File Types
Extract text from various image and document formats using OCR Tesseract. Learn practical techniques for optical character recognition in data science and machine learning applications.
Google AI Studio and Gemini API Python SDK
Explore Google AI Studio and Gemini API using Python SDK. Access Gemini and Gemini Pro Vision programmatically for advanced AI applications.
Accelerating Python Code with Numba and CuPy for Machine Learning
Boost Python code execution with GPU acceleration and compilation using Numba and Cupy for machine learning tasks.
Introduction to Amazon Bedrock - AWS Machine Learning and Data Science
Explore Amazon Bedrock, AWS's managed serverless service for Generative AI and LLMs. Learn key features and applications in machine learning and data science.
How to Install Conda for Data Science and Machine Learning
Aprenda a instalar Anaconda y dominar los entornos conda para ciencia de datos y aprendizaje automático.
Neo4J GDS: Node Embeddings Algorithms for Data Science and Machine Learning
Explore node embedding algorithms in Neo4J GDS for data science and machine learning, creating powerful graph-based representations.
Neo4J GDS - Topological Link Prediction for Data Science and Machine Learning
Explore topological link prediction algorithms in Neo4J using the Data Science library (GDS) for advanced graph analysis and machine learning applications.
Multimodal Prompts with Gemini Pro 1.5 in Google Vertex AI
Explore multimodal prompts with Gemini Pro 1.5 in Google Vertex AI using Python SDK. Learn to integrate text and visual inputs for advanced machine learning applications.
Fine-Tuning Gemini 1.0 Pro for Text Classification in Vertex AI
Fine-tune Gemini Pro 1.0 for text classification using Google Vertex AI's UI and Python SDK. Learn advanced machine learning techniques for improved model performance.