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| title: Llm Basics | |
| emoji: 🏆 | |
| colorFrom: yellow | |
| colorTo: blue | |
| sdk: streamlit | |
| sdk_version: 1.25.0 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| # LLM Basics | |
| ## Overview | |
| - LLM are an extension in the space of NLP. | |
| - They perform lots of tasks, this example provides below | |
| - Sentiment Analysis | |
| - Zero-shot Classification | |
| - Text Generation | |
| - Mask Filling | |
| - Named Entity Recognition | |
| - Question & Answering | |
| - Summarization | |
| - Translation | |
| ## Reference | |
| - [Huggingface Pipelines](https://huggingface.co/learn/nlp-course/chapter1/3?fw=pt) |