EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Sep 5·5 min read
It matters who teaches you
TL;DR
Bastian Gruber reflects on the transformative potential of large language models (LLMs) in education, emphasizing their ability to enhance understanding and engagement. He believes that these tools could have significantly impacted his academic journey, fostering deeper insights and learning.
✦ Why It Matters
Explore LLMs to enhance your learning and understanding of complex topics today.
Key Takeaways
- Seek mentorship from experienced professionals in your field.
- Engage in collaborative problem-solving with peers.
- Reflect on the influence of your teachers and mentors.
- Balance AI tool usage with human interactions for deeper learning.
Full Summary
The author reflects on their educational struggles and newfound appreciation for large language models (LLMs) that offer diverse explanations of topics. They draw inspiration from Susan Piver's book, which highlights the significance of the mentors and teachers who shape our learning experiences.
As the author writes a second edition of their book on Rust Web Development, they acknowledge the profound impact of their own mentors in their career. Despite the convenience of AI tools, the author warns against losing the emotional connections and inspiration that come from human interactions.
They express a desire to continue writing, hoping to inspire future engineers in a way that AI cannot replicate.