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Bloom - Text Generation Large Language Model - LLM: Step by Step Implementation

Prodramp via YouTube

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Overview

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This hands-on tutorial demonstrates how to build a Bloom text-generation application in Google Colab. It covers prompt tokenization, model execution, result decoding, GitHub export, and troubleshooting CPU/GPU, model-output, and memory errors.

Syllabus

- Video Starts
- Experimentation Steps
- Bloom @ Hugging Face
- Testing GPT-2
- Testing Neo-GPT-2
- Setting Google Colab
- Downloading Bloom Model
- Setting Text Prompt
- Tokenize Text
- Applying Bloom Model
- GPU/CPU Mixup Error
- Correct Model Error
- GPU Memory Exception
- Encoded Result Output
- Decoding Results
- Result as Text
- Export Notebook to GitHub

Taught by

Prodramp

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