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Practice Generative AI and Large Language Models with Real-world Exercises!
Updated on Sep, 2026
IT and Software , Other IT and Software, Python
Training 5 or more people ?
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Our exhaustive 4-hour workshop dives ground dwellers learners into revolutionary Large Language Modelling spaces. It serves the need of bridging theory with the practical side of learning outfit. Thus, whether budding data scientist, amateur AI enthusiast, or indeed the professional with a well-honed toolkit considering augmenting it, this course is meant to empower you with experience in putting LLMs to good use in performing varied real-world applications.
This course is very much suited for those individuals seeking to further their insights into LLMs and use the models in innovative applications. It is a program for AI professionals, data scientists and researchers who want to expand their talents and apply these models to solve complicated problems.
Fundamentals and Advanced Techniques: Start with the basics of Large Language Models, including their architecture and capabilities, before progressing to advanced optimization methods such as Quantization and LoRA.
Practical Exercises: Engage in structured exercises using Kaggle datasets in Colab, fine-tuning models for tasks like question answering and text summarization with QLoRA and exploring cutting-edge concepts such as Retrieval Augmented Generation (RAG).
Real-World Applications: Tackle engaging projects like building a semantic search engine to find movies and developing a chat interface with scholarly articles, applying your knowledge in tangible, impactful ways.
Model Publication: As a bonus, learn how to share your fine-tuned models with the world through Huggingface, enhancing your visibility in the AI community.
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