hands on large language models

We have hosted the application hands on large language models in order to run this application in our online workstations with Wine or directly.

Quick description about hands on large language models:

Hands-On-Large-Language-Models is the official GitHub code repository accompanying the practical technical book Hands-On Large Language Models authored by Jay Alammar and Maarten Grootendorst, providing a comprehensive collection of example notebooks, code labs, and supporting materials that illustrate the core concepts and real-world applications of large language models. The repository is structured into chapters that align with the educational progression of the book — covering everything from foundational topics like tokens, embeddings, and transformer architecture to advanced techniques such as prompt engineering, semantic search, retrieval-augmented generation (RAG), multimodal LLMs, and fine-tuning. Each chapter contains executable Jupyter notebooks that are designed to be run in environments like Google Colab, making it easy for learners to experiment interactively with models, visualize attention patterns, implement classification and generation tasks.

Features:

• Jupyter notebooks aligned with guided LLM education
• Examples from fundamentals to advanced LLM applications
• Practical code labs for real-world LLM workflows
• Designed for execution in Google Colab or local setups
• Covers semantic search, RAG, and fine-tuning
• Apache-2.0 open-source license with extensive docs

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