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Ammar-Alnagar/README.md

πŸ’« About Me:

πŸ”­ I’m currently working on building and fine-tuning large language models and developing intelligent systems for various applications in AI and NLP.

πŸ‘― I’m looking to collaborate on AI-driven projects that push the boundaries of machine learning and natural language understanding.

🀝 I’m looking for help with exploring cutting-edge techniques in deep learning and natural language processing.

🌱 I’m currently learning advanced methods in Retrieval-Augmented Generation (RAG) and Structured State Machines (SSMs).

πŸ’¬ Ask me about large language models, NLP, and AI engineering.

⚑ Fun fact: I'm always up for a challenge and love diving into complex AI problems to find innovative solutions.

🌐 Socials:

LinkedIn Medium Stack Overflow

πŸ’» Tech Stack:

C Kotlin Python Firebase Anaconda JavaFX OpenCV MySQL MicrosoftSQLServer Firebase Canva Gimp Adobe Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy Git GitHub GitLab Arduino Cisco Jira Meta Mosquitto Postman

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

✍️ Random Dev Quote



GitHub Snake

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  1. minii_llama_3 minii_llama_3 Public

    Jupyter Notebook

  2. ms_mamba ms_mamba Public

    Python

  3. RAG-retrieval-augmented-generation-using-book-catalogs RAG-retrieval-augmented-generation-using-book-catalogs Public

    Python

  4. Langchain-nlp Langchain-nlp Public

    Forked from pixegami/langchain-rag-tutorial

    A simple Langchain RAG application.

    Python

  5. mambawip mambawip Public

    Forked from state-spaces/mamba

    Mamba SSM architecture

    Python

  6. simple-local-rag simple-local-rag Public

    Forked from mrdbourke/simple-local-rag

    Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.

    Jupyter Notebook