Mastering Generative AI and LLM Deployment.

This course is diving into Generative AI State-Of-Art Scientific Challenges. It helps to uncover ongoing problems and develop or customize your Own Large Models Applications. Course mainly is suitable for any candidates(students, engineers,experts) that have great motivation to Large Language Models with Todays-Ongoing Challenges as well as their  deeployment with Python Based and Javascript Web Applications, as well as with C/C++ Programming Languages. Candidates will have deep knowledge on  TensorFlow , PyTorch,  Keras models, Hugging Face with Docker Service. In addition, one will be able to optimize and quantize TensorRT frameworks for deployment in variety of sectors. Moreover, They will learn deployment of LLM quantized model to Web Pages developed with React, Javascript and FLASK Here you will also learn how  to integrate Reinforcement Learning(PPO) to Large Language Model, in order to fine them with Human Feedback based.  Candidates will learn how to code and debug in C/C++ Programming languages at least in intermediate level.LLM Models used: The Falcon, LLAMA2, BLOOM, MPT, Vicuna,FLAN-T5, GPT2/GPT3, GPT NEOXBERT 101, Distil BERTFINE-Tuning Small Models under supervision of BIG Models Image Generation :LLAMA models Gemini Dall-E OpenAI Hugging Face Models Learning and Installation of Docker from scratch Knowledge of Javscript, HTML ,CSS, Bootstrap React Hook, DOM and Javacscript Web Development Deep Dive on