В каталог

    LLMOps

    75 курсов
    Evaluating LLMs and RAG Pipelines at Scale
    Toronto Machine Learning Society (TMLS)

    Evaluating LLMs and RAG Pipelines at Scale

    Deploying GenAI Applications to Enterprises: Custom Evaluation Models and LLMOps Workflow - MLOps World
    Toronto Machine Learning Society (TMLS)

    Deploying GenAI Applications to Enterprises: Custom Evaluation Models and LLMOps Workflow - MLOps World

    LLMOPS: Training a Small LLM (GPT-2) - Machine Learning and Data Science
    The Machine Learning Engineer

    LLMOPS: Training a Small LLM (GPT-2) - Machine Learning and Data Science

    LLMOPS: Entrenamiento de un LLM nanoGPT (GPT2) en Español
    The Machine Learning Engineer

    LLMOPS: Entrenamiento de un LLM nanoGPT (GPT2) en Español

    LLMOps with Langchain, OpenAI, and Databricks - Creating a Retrieval QA Chain
    The Machine Learning Engineer

    LLMOps with Langchain, OpenAI, and Databricks - Creating a Retrieval QA Chain

    ML and MLOps with Databricks: LLMOps, MLFlow, OpenAI, and Databricks - Spanish
    The Machine Learning Engineer

    ML and MLOps with Databricks: LLMOps, MLFlow, OpenAI, and Databricks - Spanish

    ML and MLOps with Databricks: LLMOps, MLFlow, Transformers, and Databricks - Spanish
    The Machine Learning Engineer

    ML and MLOps with Databricks: LLMOps, MLFlow, Transformers, and Databricks - Spanish

    LLMOps: Optimización de Memoria y Computación en LLMs
    The Machine Learning Engineer

    LLMOps: Optimización de Memoria y Computación en LLMs

    LLMOps: Prompt Tuning for Dialog Summarization with Flan-T5 in Spanish
    The Machine Learning Engineer

    LLMOps: Prompt Tuning for Dialog Summarization with Flan-T5 in Spanish

    LLMOps: Personalizar ViT Classifier con tu Propia Data y Docker Inference
    The Machine Learning Engineer

    LLMOps: Personalizar ViT Classifier con tu Propia Data y Docker Inference

    LLMOps: Converting Video Classifier (ViViT) to ONNX for CPU Inference
    The Machine Learning Engineer

    LLMOps: Converting Video Classifier (ViViT) to ONNX for CPU Inference

    LLMOps: Como usar Nvidia TensorRT SDK para Inferencia en GPU
    The Machine Learning Engineer

    LLMOps: Como usar Nvidia TensorRT SDK para Inferencia en GPU

    LLMOps: Comparación de Openvino, ONNX, TensorRT y Pytorch para Inferencia
    The Machine Learning Engineer

    LLMOps: Comparación de Openvino, ONNX, TensorRT y Pytorch para Inferencia

    Inferencia en CPU con Microsoft Florence 2 ONNX en C# - LLMOPs
    The Machine Learning Engineer

    Inferencia en CPU con Microsoft Florence 2 ONNX en C# - LLMOPs

    LLMOPs: Inferencia en CPU con Phi3 Vision 128k Instruct - ONNX 4bits en C#
    The Machine Learning Engineer

    LLMOPs: Inferencia en CPU con Phi3 Vision 128k Instruct - ONNX 4bits en C#

    LLMOPs - Inferencia en CPU con Phi3 4k Instruct ONNX 4bits en C#
    The Machine Learning Engineer

    LLMOPs - Inferencia en CPU con Phi3 4k Instruct ONNX 4bits en C#

    LLMOps: Inferencia de Clasificador ViT Fine-Tuned en CPU con C#
    The Machine Learning Engineer

    LLMOps: Inferencia de Clasificador ViT Fine-Tuned en CPU con C#

    LLMOps: Converting Fine-Tuned ViT Classifier to ONNX for CPU Inference
    The Machine Learning Engineer

    LLMOps: Converting Fine-Tuned ViT Classifier to ONNX for CPU Inference

    LLMOps: LLMs Memory and Compute Optimizations
    The Machine Learning Engineer

    LLMOps: LLMs Memory and Compute Optimizations

    LLMOps: Quantization Models and Inference with ONNX Generative Runtime
    The Machine Learning Engineer

    LLMOps: Quantization Models and Inference with ONNX Generative Runtime

    Teaching Vector Databases at Scale
    Qdrant - Vector Database & Search Engine

    Teaching Vector Databases at Scale