Decision Trees and Overfitting in Machine Learning - Lecture 5
Dive into practical aspects of decision tree learning, exploring overfitting challenges and essential implementation considerations in machine learning applications.
KT Cloud and Backend.AI - Building an AI Train Open Cloud Platform
Discover how KT Cloud and Backend.AI's collaboration creates a powerful open platform that accelerates AI development with efficient resource management and streamlined deployment processes.
Train Your First NLP Transformer Model with Amazon SageMaker
Learn to train and deploy NLP Transformer models using Amazon SageMaker and Hugging Face. Gain hands-on experience with cutting-edge deep learning techniques for natural language processing.
How to Automate Machine Learning with GitHub Actions
Automate machine learning workflows using GitHub Actions to speed up development cycles and streamline model deployment.
How to Automate Machine Learning with GitHub Actions
Automate machine learning workflows using GitHub Actions to speed up development cycles and streamline model deployment.
Custom ML Model Creation and Deployment Using AWS SageMaker
Deploy custom machine learning models efficiently with AWS SageMaker, streamlining the process from creation to production-ready implementation.
AutoML in Vertex AI for MLOps
Explore AutoML in Vertex AI for MLOps, streamlining model training, comparison, and deployment on Google Cloud's unified platform.
How to Finetune and Develop Your Own Large Language Model
Explore techniques for fine-tuning and developing custom large language models, enhancing your AI capabilities and understanding of advanced NLP concepts.
Your Model, Your Data, Your Business: A Privacy-First Approach to Generative AI
Quickly train and fine-tune production AI models using your data, owning your model in the cloud or on-premises with a privacy-first approach.
Deploying LLMs on Structured Data Tasks - Lessons from the Trenches
Explore NSQL, a new open-source foundation model for SQL generation. Learn about its advantages over existing models, including customization, quality, and privacy. Discover its data generation process, GPU training approach, and performance benefits.
LLMs on Polaris - Tutorial 5
Explore large language model deployment on Polaris supercomputer, focusing on efficient scaling and performance optimization techniques.
Federated Learning Tutorial: Concepts, Applications, Challenges, and Framework
Explore federated learning concepts, applications, challenges, and frameworks. Gain insights into collaborative machine learning while preserving data privacy and security.
AI on the Edge - Challenges, Benefits, and Implementation Strategies
Explore AI at the edge: challenges, security, scaling, benefits, use cases, and open source solutions. Learn to build effective edge AI architectures for IoT applications.
Hugging Face and Ray AIR Integration for Scalable Machine Learning
Explore Hugging Face and Ray AIR integration for scalable model training and data loading. Learn to create end-to-end workflows from data ingest to inference and serving.
Fast and Scalable Model Training with PyTorch and Ray
Learn distributed model training with PyTorch and Ray. Migrate code, scale AI workflows, and optimize performance for large-scale training and fine-tuning on Anyscale.
Efficient AI: From Supercomputers to Smartphones
Explore techniques for efficient AI training and inference, from data ingestion to model compression, enabling powerful models on supercomputers and smartphones.
Imbue - Training a 70B Model from Scratch - Infrastructure and Challenges
Explore Imbue's journey in building infrastructure for a 70B model, covering technical challenges, cluster setup, and insights into large-scale AI training with Bowei, head of infrastructure.
Building a Deep Learning Model for Ship Detection Using YOLOv8
Implement YOLOv8 for ship detection in sea views using Python. Learn data preparation, model training, and prediction visualization for effective object detection.
Dog Breed Detection using YOLOv8 and Deep Learning
Learn to build a YOLOv8-based dog breed detection system using deep learning. Master data preparation, model training, and making predictions with bounding boxes.
Empowering Generative AI with Databricks and AMD
Explore GPU hardware's role in generative AI, AMD's advancements, and Databricks' solutions for scalable model training, deployment, and governance while ensuring data privacy and cost-effectiveness.
Full RAG: A Modern Architecture for Hyperpersonalization
Explore Full RAG architecture for AI-driven hyperpersonalization, integrating real-time data and contextual insights to enhance recommendation systems beyond traditional models' capabilities.