
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 a ViT model with custom data and perform inference on images and videos. Learn practical techniques for image and video classification using advanced machine learning.

Personalize Flan-T5 for document classification by creating a custom dataset using web scraping techniques with DuckDuckGo.

Aprenda a servir aplicações Flask ou FastAPI no Google Colab ou na nuvem, utilizando técnicas de ciência de dados e aprendizado de máquina.

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.

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.

Aprenda a instalar WSL con soporte CUDA y PyTorch para potenciar sus proyectos de aprendizaje automático y ciencia de datos en Windows.

Aprenda a crear una cuenta de servicio en Google Cloud para acceder a APIs y servicios de GCP desde su aplicación.

Develop a QA tool using Langchain, Neo4J, and OpenAI models for advanced data science and machine learning applications.

Learn to count tokens consumed by OpenAI's API using the Tiktoken library, optimizing your usage and costs.

Explore MLflow Projects to create execution pipelines locally and leverage Databricks for tracking and artifact storage in machine learning workflows.

Learn to log and load quantized LLama.cpp models in MLflow, create Python classes, and perform inference using Microsoft Phi3 mini 128k in GGUF format.

Explore Microsoft's Semantic Kernel SDK for integrating LLMs with C#. Learn to combine AI models with traditional programming for enhanced applications.

Explore document similarity using Langchain, Ollama with Mistral 7B or LLama 2, and Chromadb as VectorStore for machine learning and data science applications.

Aprende a utilizar Whisper, el modelo de reconocimiento de voz de OpenAI, para transcribir y traducir audio con precisión.

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.

Fine-tune Flan T5 for document summarization using multi_news dataset. Learn practical implementation with provided notebook and explore variations with other models and datasets.

Explore Google AI Studio and Gemini API using Python SDK. Access Gemini and Gemini Pro Vision programmatically for advanced AI applications.

Boost Python code execution with GPU acceleration and compilation using Numba and Cupy for machine learning tasks.

Explore Amazon Bedrock, AWS's managed serverless service for Generative AI and LLMs. Learn key features and applications in machine learning and data science.

Aprenda a instalar Anaconda y dominar los entornos conda para ciencia de datos y aprendizaje automático.