Build Your Own AI Lab
Seeders : 2 Leechers : 1
| Torrent Hash : | 02FD931A208B1F9A4691BE0A9EB8B3F8EF47D52B |
| Torrent Added : | at April 3, 2025, 1:21 p.m. in Other |
| Torrent Size : | 666.6 MB |
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Please Update (Trackers Info) Before Start " Build Your Own AI Lab" Torrent Downloading to See Updated Seeders And Leechers for Batter Torrent Download Speed.Torrent File Content (3 files)
Build Your Own AI Lab
Get Bonus Downloads Here.url -
Bonus Resources.txt -
001. Build Your Own AI Lab Introduction.mp4 -
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 -
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 -
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 -
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 -
001. Build Your Own AI Lab Summary.mp4 -
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Get Bonus Downloads Here.url -
183 bytes
Bonus Resources.txt -
70 bytes
001. Build Your Own AI Lab Introduction.mp4 -
12.3 MB
001. Learning objectives.mp4 -
9.4 MB
002. 1.1 Overview of AI Labs and Sandboxes Home-based vs. Cloud-based.mp4 -
20.1 MB
003. 1.2 Choosing the Right Hardware (GPUs, CPUs, Memory, etc.).mp4 -
50.3 MB
004. 1.3 Building or Buying Pre-built Systems.mp4 -
15.2 MB
005. 1.4 Choosing the Operating Systems (Linux, Windows, macOS).mp4 -
16.6 MB
006. 1.5 Surveying Essential Software (Python, Anaconda, Jupyter Notebooks, and Other Frameworks).mp4 -
18.9 MB
007. 1.6 Introducing Hugging Face.mp4 -
13.9 MB
008. 1.7 Introducing Ollama.mp4 -
12.2 MB
009. 1.8 Installing Ollama.mp4 -
16.5 MB
010. 1.9 Ollama Integrations.mp4 -
46.9 MB
011. 1.10 Exploring the Ollama REST API.mp4 -
12.7 MB
012. 1.11 Introducing Retrieval Augmented Generation (RAG).mp4 -
13.9 MB
013. 1.12 Leveraging RAGFlow.mp4 -
40.6 MB
001. Learning objectives.mp4 -
3.8 MB
002. 2.1 Advantages and Disadvantages of Cloud AI Labs and Sandboxes.mp4 -
19.1 MB
003. 2.2 Introducing Amazon Bedrock.mp4 -
21.0 MB
004. 2.3 Surveying Amazon SageMaker.mp4 -
36.2 MB
005. 2.4 Exploring Google Vertex AI.mp4 -
43.3 MB
006. 2.5 Using Microsoft Azure AI Foundry.mp4 -
36.3 MB
007. 2.6 Discussing Cost Management and Security.mp4 -
21.5 MB
008. 2.7 Using Terraform to Deploy Ollama in the Cloud.mp4 -
10.4 MB
001. Learning objectives.mp4 -
4.5 MB
002. 3.1 Using Hybrid AI Labs Combining Home and Cloud Resources.mp4 -
5.9 MB
003. 3.2 Synchronizing Data and Projects.mp4 -
11.1 MB
004. 3.3 Leveraging the Strengths of Both Environments.mp4 -
19.4 MB
005. 3.4 Running Open-Source Models Available on Hugging Face.mp4 -
14.1 MB
006. 3.5 Introducing LangChain.mp4 -
9.2 MB
007. 3.6 Introducing LlamaIndex.mp4 -
7.5 MB
008. 3.7 Understanding Embedding Models.mp4 -
31.9 MB
009. 3.8 Using Vector Databases.mp4 -
17.4 MB
001. Learning objectives.mp4 -
3.7 MB
002. 4.1 Leveraging LangSmith and LangGraph.mp4 -
14.6 MB
003. 4.2 Using Fine Tuning Frameworks.mp4 -
17.1 MB
004. 4.3 High-Performance Computing and Edge AI.mp4 -
11.8 MB
001. Build Your Own AI Lab Summary.mp4 -
7.2 MB
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