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Build Your Own AI Lab
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Torrent Files List
Introduction (Size: 666.56 MB) (Files: 36)
Introduction
001. Build Your Own AI Lab Introduction.mp4
Lesson 1 Introduction to AI Labs and Sandboxes
001. Learning objectives.mp4
002. 1.1 Overview of AI Labs and Sandboxes Home-based vs. Cloud-based.mp4
003. 1.2 Choosing the Right Hardware (GPUs, CPUs, Memory, etc.).mp4
004. 1.3 Building or Buying Pre-built Systems.mp4
005. 1.4 Choosing the Operating Systems (Linux, Windows, macOS).mp4
006. 1.5 Surveying Essential Software (Python, Anaconda, Jupyter Notebooks, and Other Frameworks).mp4
007. 1.6 Introducing Hugging Face.mp4
008. 1.7 Introducing Ollama.mp4
009. 1.8 Installing Ollama.mp4
010. 1.9 Ollama Integrations.mp4
011. 1.10 Exploring the Ollama REST API.mp4
012. 1.11 Introducing Retrieval Augmented Generation (RAG).mp4
013. 1.12 Leveraging RAGFlow.mp4
Lesson 2 Cloud-Based AI Labs and Sandboxes
001. Learning objectives.mp4
002. 2.1 Advantages and Disadvantages of Cloud AI Labs and Sandboxes.mp4
003. 2.2 Introducing Amazon Bedrock.mp4
004. 2.3 Surveying Amazon SageMaker.mp4
005. 2.4 Exploring Google Vertex AI.mp4
006. 2.5 Using Microsoft Azure AI Foundry.mp4
007. 2.6 Discussing Cost Management and Security.mp4
008. 2.7 Using Terraform to Deploy Ollama in the Cloud.mp4
Lesson 3 Integrating and Leveraging AI Environments
001. Learning objectives.mp4
002. 3.1 Using Hybrid AI Labs Combining Home and Cloud Resources.mp4
003. 3.2 Synchronizing Data and Projects.mp4
004. 3.3 Leveraging the Strengths of Both Environments.mp4
005. 3.4 Running Open-Source Models Available on Hugging Face.mp4
006. 3.5 Introducing LangChain.mp4
007. 3.6 Introducing LlamaIndex.mp4
008. 3.7 Understanding Embedding Models.mp4
009. 3.8 Using Vector Databases.mp4
Lesson 4 Advanced Topics
001. Learning objectives.mp4
002. 4.1 Leveraging LangSmith and LangGraph.mp4
003. 4.2 Using Fine Tuning Frameworks.mp4
004. 4.3 High-Performance Computing and Edge AI.mp4
Summary
001. Build Your Own AI Lab Summary.mp4
Torrent description
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