Day 45/100 : Successfully deployed several projects, making them accessible and functional.
Learned new Python concepts, further enhancing my programming skills.
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Day 44/100: After a long gap, I'm back and ready to continue my learning journey.
Read the RAG documentation by Abhinav to deepen my understanding and set up the project environment.
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Day 42/100 :Delved into learning about different types of request methods like GET, POST, PATCH, DELETE, etc
in API building.
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Day 40/100 : Delved into learning about reinforcement learning through human feedback and RAG (Retrieval Augmented Generation) vs fine-tuning.
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Day 33/100 : Experimented different types of tasks from Hugging Face.
- Explored various NLP tasks available on the Hugging Face platform, such as text classification, named entity recognition, and question answering, etc.
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Day 38/100 : Delved into learning about RAG (Retrieval Augmented Generation) and building a basic RAG application using Llama-Index.
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Day 34/100 : Today, I revisited Python and delved into learning about lists, thanks to a tutorial from https://t.co/G4bweKX3TB.
Practiced working with lists through hands-on exercises and examples provided in the tutorial.
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Day 32/100: Today, I delved into learning about the pipeline function and learned about various types of tasks in NLP, including text classification, named entity recognition, and sentiment analysis, etc.
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Day 31/100 : Today, I focused on learning how to fine-tune Large Language Models (LLMs).
- Explored the different ways to fine-tune and different options for parameter training.
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Day 29/100: Made significant progress in developing the Weather Assistant App using the OpenWeatherMap API with function calls.
Resolved previous errors encountered during function calling implementation.
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