Torrent Contents Size: 364.3 MB
Hands-On AI - Build a RAG Model from Scratch with Open Source
▼ show more 35 files
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01 - Introduction to RAG models.mp4
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2.5 MB
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01 - Introduction to RAG models.srt
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1.3 KB
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01 - Overview of the RAG pipeline.mp4
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6.3 MB
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01 - Overview of the RAG pipeline.srt
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4.1 KB
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01 - Running your LLM from open source.mp4
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3.1 MB
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01 - Running your LLM from open source.srt
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4.3 KB
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01 - Setting up a dev container.mp4
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15.7 MB
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01 - Setting up a dev container.srt
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11.3 KB
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01 - Vector embeddings and their implementation.mp4
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5.7 MB
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01 - Vector embeddings and their implementation.srt
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7 KB
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01 - What's next.mp4
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2.6 MB
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01 - What's next.srt
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1.6 KB
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02 - Collecting data to generate our corpus.mp4
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2.7 MB
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02 - Collecting data to generate our corpus.srt
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3.4 KB
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02 - Preparing context, part 1.mp4
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19.1 MB
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02 - Preparing context, part 1.srt
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9 KB
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02 - Setting up environment and installing Ollama.mp4
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11.7 MB
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02 - Setting up environment and installing Ollama.srt
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7.6 KB
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02 - Setting up your Postgres vector database.mp4
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24.1 MB
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02 - Setting up your Postgres vector database.srt
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11 KB
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03 - Creating a model file.mp4
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18.3 MB
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03 - Creating a model file.srt
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11.4 KB
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03 - Preparing context, part 2.mp4
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25.9 MB
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03 - Preparing context, part 2.srt
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11 KB
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03 - Setting up a simple database schema.mp4
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23.6 MB
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03 - Setting up a simple database schema.srt
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9.6 KB
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03 - What are vector embeddings, and how are they generated.mp4
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4.8 MB
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03 - What are vector embeddings, and how are they generated.srt
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5.6 KB
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04 - Prompt engineering.mp4
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20.4 MB
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04 - Prompt engineering.srt
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9.6 KB
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04 - Running Ollama programmatically through Python.mp4
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20.9 MB
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04 - Running Ollama programmatically through Python.srt
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9.4 KB
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04 - Setting up a database and retrieving vectors and files.mp4
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5 MB
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04 - Setting up a database and retrieving vectors and files.srt
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4.8 KB
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04 - Uploading vectors, text, and filenames to the database.mp4
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51.2 MB
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04 - Uploading vectors, text, and filenames to the database.srt
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23.4 KB
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05 - Generating the corpus.mp4
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33.3 MB
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05 - Generating the corpus.srt
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14 KB
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05 - Putting it all together to generate a working RAG model.mp4
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25.1 MB
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05 - Putting it all together to generate a working RAG model.srt
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10.1 KB
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05 - Retrieving content from your database.mp4
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17.4 MB
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05 - Retrieving content from your database.srt
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10 KB
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05 - Vectorizing a query and finding relevant text.mp4
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5.3 MB
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05 - Vectorizing a query and finding relevant text.srt
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4.6 KB
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06 - Extract text from different local file formats with Docling.mp4
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15 MB
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06 - Extract text from different local file formats with Docling.srt
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6.1 KB
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06 - Prompt engineering and packaging pieces together.mp4
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4.6 MB
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06 - Prompt engineering and packaging pieces together.srt
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5.2 KB
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Bonus Resources.txt
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TXT
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102.4 B
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Get Bonus Downloads Here.url
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URL
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204.8 B
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