Short Course on Finetuning Large Language Models by DeepLearning AI & Lamini [Free for Limited Time]: Register Now!

Online applications are invited for the Short Course on Finetuning Large Language Models by DeepLearning AI & Lamini. Check the details below!

DeepLearning.AI was founded in 2017 by machine learning and education pioneer Andrew Ng to fill a need for world-class AI education. DeepLearning.AI has created high-quality AI programs on Coursera that have gained an extensive global following. By providing a platform for education and fostering a tight-knit community, DeepLearning.AI has become the pathway for anyone looking to build an AI career.

The Lamini is the LLM platform for developers to specialize LLMs on their own data and infrastructure: easier, faster, and better than any LLM for their use case. Giving every developer the superpowers that took the world from GPT-3 to ChatGPT. From speed optimizations like LoRA to enterprise features like virtual private cloud (VPC) deployments.

Join our new short course, Finetuning Large Language Models! Learn from Sharon Zhou, Co-Founder and CEO of Lamini, and instructor for the GANs Specialization and How Diffusion Models Work.

When you complete this course, you will be able to:

With fine-tuning, you’re able to take your own data to train the model on it, and update the weights of the neural nets in the LLM, changing the model compared to other methods like prompt engineering and Retrieval Augmented Generation. Finetuning allows the model to learn style and form and can update the model with new knowledge to improve results.

Learners who want to understand the techniques and applications of finetuning, with Python familiarity, and an understanding of a deep learning framework such as PyTorch.

Interested candidates can directly register through this link.

Sharon Zhou, Co-Founder and CEO of Lamini.