ML and MLOps with Databricks: LLMOps, MLFlow, Transformers, and Databricks
Explore LLMOps, MLFlow, and Databricks for advanced machine learning operations. Master transformers and enhance your data science skills.
Microsoft Phi3 Mini 4K Instruct - Chain of Thought Prompting Test
Explore Microsoft Phi3 Mini 4K's Chain of Thought prompting capabilities through practical tests, comparing results with other models like LLama2, Mistral 7B, and LLama3 8B.
MLOps MLFlow: Deployment Server - Managing and Using Multiple LLMs
Install and utilize MLflow Deployment Server to manage multiple LLMs, including OpenAI, Anthropic, and Langchain. Enhance your MLOps skills for efficient model deployment.
MLOps MLFlow: MLflow Projects with PySpark Docker Environments
Explore MLflow Projects with PySpark in Docker, utilizing Databricks for artifact storage and tracking in MLOps workflows.
MLFlow Projects: Dockerized Environments in MLflow
Explore MLflow projects using Docker environments and Databricks for artifact repository and tracking in MLOps workflows.
MLOps: Databricks MLFlow and Optuna Hyper-parameter Tuning
Optimize XGBoost models using Databricks, MLflow, and Optuna for efficient hyperparameter tuning and improved machine learning workflows.
MLOps: Databricks and MLFlow Hyper-parameter Tuning for XGBoost Models
Optimize machine learning models using Databricks and MLflow for hyperparameter tuning with XGBoost and HyperOpt.
MLOps MLFlow: Building Pipelines with MLflow Projects
Build MLflow project pipelines for efficient machine learning workflows. Learn to create and execute data science pipelines using MLflow Projects.
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.
VertexAI Embeddings with Pinecone and LangChain - Building a Retrieval Component
Aprenda a implementar un componente de recuperación utilizando VertexAI Embeddings, Pinecone y Langchain para aplicaciones de aprendizaje automático y ciencia de datos.
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.
Gemma-2 9B: Introduction and Chain of Thought Prompt Testing
Explore Gemma-2, Google's new language model. Compare sizes, formats, and test Chain of Thought capabilities through IT-focused prompts. Hands-on demonstration included.
Langchain: Conversational QA Tool with Gemini, Langchain, and Faiss
Crea un chatbot de preguntas y respuestas conversacional utilizando Langchain, Gemini Pro 1.5, Faiss y Vertex AI para consultar una base de conocimientos personalizada.
Creating a Dockerfile and Docker Compose File for ML Applications - Practical Example
Construye una aplicación completa de ML en contenedores Docker y ejecútala con Docker Compose. Aprende a crear Dockerfiles y archivos Docker Compose para proyectos de aprendizaje automático.
Langchain: RAG QA Tool with Gemini Pro, Langchain, and Chroma
Develop a RAG-based QA tool using Langchain, Gemini Pro, and Chroma for legal document analysis and retrieval.
LLM Efficient Inference in CPUs and Intel GPUs - Intel Neural Speed
Optimize LLM inference on Intel CPUs and GPUs using Neural Speed. Explore efficient techniques for enhanced performance in machine learning and data science applications.
LLMOps with Langchain, OpenAI, and Faiss on Databricks - Creating a Retrieval QA Tool
Develop a Retrieval QA tool using Langchain, OpenAI, and Faiss. Learn to save components in Databricks' MLFLOW, work with Model Governance, and perform inference after chain retrieval.
ML and MLOps with Databricks: LLMOps, MLFlow, OpenAI, and Databricks
Build a code reviewer using GPT-4, encapsulate it in MLflow, and deploy for inference in Databricks pipelines. Enhance your ML workflow with LLMOps techniques.
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.