Andrew Ng has launched a new short course on embedding models, covering their history, architecture, and capabilities. The course, taught by Vectara's Ofer Mendelevitch, explores word, sentence, and cross-encoder models, BERT training, and building dual encoder models for semantic search.
A free, open-source course on Large Language Models (LLMs) taught by over 25 industry veterans. The course covers a range of topics, including evaluation, retrieval-augmented generation (RAG), fine-tuning, and more. It is designed for technical professionals who have some experience with LLMs and want to learn how to apply them in real-world applications.
This article announces a comprehensive course on fine-tuning large language models (LLMs) offered on the freeCodeCamp.org YouTube channel. The course, developed by Krish Naik, covers topics such as QLORA, LORA, quantization with LLama2, gradient, and Google Gemma Model, among others. The course aims to help learners deepen their understanding of machine learning and artificial intelligence.
