LLMS:

Sentiment Analysis with a BERT Model | Python, LLMS Sentiment Analysis with a BERT Model: Fine-tuned a pre-trained language model for sentiment analysis using Low-Rank Adaptation (LoRA) and the Hugging Face ecosystem. The model is designed to classify IMDB movie reviews as positive or negative, achieving a 90% accuracy on the validation dataset.

Finetuning BERT for Text Classification Fine-tuned BERT (bert-base-uncased) for detecting phishing URLs, using Hugging Face’s transformers library for model fine-tuning and evaluation.

RAGs

AI Agents: