Learn more about help people immerse themselves in interesting subjects
Discover Is our conversational learning companion designed to help you dive deeper into any subject that is curious to you with Google AI. Whether you are a student, learning for life or just someone who likes to explore new ideas, you find out about your knowledge guide. He is deeply informed by learning the principles of science, using proven techniques to improve knowledge acquisition, promote long -term retention and promote a true love of learning.
I personally use learning to understand feldspars in geology. With this tool, I was able to better understand than a great fraction of the plethora of precious stones that you see are only one or two simple structures. Once I understood this, many other geology concepts have started to make sense. This is what is exciting in AI – it can unlock these “Aha!” moments.
Notebook is another excellent learning tool that helps you deepen your own equipment. You download your own sources and Notebooklm becomes an expert, anchoring his answers in your equipment and giving you powerful ways to transform information. Notebooklm generates summaries and suggests follow -up questions, providing a new useful way to understand the difficult text and to synthesize connections between several documents. Students and other learners can use Notebooklm to take and organize notes, then transform these notes into study guides, test contours, etc. It even offers audio previews, which transform your information into a engaging conversation between two “hosts” of AI, which can be useful for people who learn best while listening.
Learnlm helps accelerate research
Learnlmwas recognized For its potential to have a positive impact on the world, is now available as an experimental model for the preview Google Ai Studio. This experimental research model is optimized for pedagogy, which means that it is designed to promote understanding based on the learning sciences. With this update, our goal is to allow more developers to experience and assess LearnLM, providing comments that will help improve our models and the products they feed. While we improve our experimental Learnlm model on teaching and learning capacities, we bring these improvements in Gemini models. Thus, when developers use Gemini for their teaching and learning applications, they may feel comfortable knowing that it is imbued with Learnlm research.