#624: AWS and DeepLearning.AI release "Generative AI with Large Language Models" on Coursera
Sep 25, 2023
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Tommy Nelson from DeepLearning.AI and Antje Barth from AWS discuss the new hands-on course 'Generative AI with large language models'. They highlight the collaboration between the two organizations, the positive response from the community, and the importance of understanding generative AI and its practical applications. They also share advice for learners and where to sign up for the course.
The new course on generative AI developed by AWS and DeepLearning.AI aims to provide learners with foundational knowledge in generative AI and large language models, offering comprehensive and up-to-date content.
The course focuses on practical applications and uses hands-on labs to allow learners to try out technologies in a cloud setting, equipping them with the knowledge and intuition necessary for real-world applications and decision-making in the field of generative AI.
Deep dives
Course Overview and Collaboration with AWS and Deep Learning AI
This podcast episode discusses a new course on generative AI developed in collaboration with AWS and deeplearning.ai. The course aims to provide learners with foundational knowledge in generative AI and large language models. The collaboration between AWS and deeplearning.ai is focused on educating developers on AI through high-quality course content. The episode highlights the course's focus on practical applications and the use of hands-on labs to allow learners to try out technologies in a cloud setting. The course has already garnered a strong response with over 70,000 enrollments.
Course Structure and Content
The course is divided into three weeks of content, covering various concepts and techniques in generative AI. In the first week, learners are introduced to the transformer architecture and learn about model training and compute resources required. The second week delves deeper into adapting pre-trained models through fine-tuning, including single-task and multi-task fine-tuning. The course also covers metrics and evaluation of large language models. In the third week, learners explore techniques for making model responses more human-like and aligning them with human preferences, such as reinforcement learning from human feedback. Advanced topics like retrieval, augmented generation, and advanced prompting techniques are also touched upon. Hands-on labs provided in each week offer practical experience with the technologies.
Audience and Unique Features of the Course
The course is designed for engineers and data scientists interested in gaining technical foundations in generative AI. While some familiarity with Python and machine learning is helpful, the course is accessible to a wide range of learners and intends to provide a complete understanding of generative AI concepts. The course distinguishes itself by offering comprehensive and up-to-date content, drawing from recent research papers and industry collaborations. It aims to equip learners with the knowledge and intuition necessary for real-world applications and decision-making in the field of generative AI.
DeepLearning.AI and AWS have jointly launched “Generative AI with large language models”, a new hands-on course that prepares data scientists and engineers to become experts in selecting, training, fine-tuning, and deploying LLMs for real-world applications. Tune into this episode, with host Jillian Forde, to hear from Tommy Nelson (DeepLearning.AI) and Antje Barth (AWS) the course highlights, prerequisites, and some fun behind-the-scenes details. DeepLearning .AI website: https://bit.ly/48uGxz6
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