English | Size: 6.46 GB
Genre: eLearning
Master Prompt Engineering and LLM Tools. Use and launch LLMs like GPT, Llama, T5, and BERT at scale through real-world case studies.
What you’ll learn
Master the fundamentals and advanced techniques of LLMs, including semantic search and prompt engineering.
Develop and deploy custom multimodal models, integrating text and visual data for comprehensive AI solutions.
Optimize LLMs for specific tasks using fine-tuning, quantization, and knowledge distillation for efficient performance.
Specialization – 3 course series
This specialization is a quick start guide to help people use and launch LLMs like GPT, Llama, T5, and BERT at scale. It presents a step-by-step approach to building and deploying LLMs, with real-world case studies to illustrate the concepts, and covers topics such as constructing agents, fine-tuning a Llama 3 model with RLHF, building recommendation engines with Siamese BERT architectures, launching an information retrieval system with OpenAI embeddings and GPT-4, and building an image captioning system with the vision transformer and GPT. This guide provides clear instructions and best practices for using LLMs and will be a valuable resource for anyone looking to use LLMs in their projects.
Learners will apply large language models like GPT, Llama, and BERT to build real-world AI systems, including a recommendation engine, a semantic search platform, a retrieval-augmented generation (RAG) chatbot, and a multimodal image captioning model. Each project reinforces core skills such as prompt engineering, fine-tuning, embeddings, and deploying production-ready LLM applications.
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