rvanbruggen

3 ms·

1. 1.▲
   by rvanbruggen 2y ago

   Super interesting concept. Thanks for sharing.
2. 2.▲
   by rvanbruggen 3y ago

   LLMs rely on Rotary Position Embeddings (RoPE) to understand the relative position of words within a sequence. Each word in the sequence is assigned a unique embedding based on its position. This embedding is calculated using a combination
3. 3.▲
   What Is Sample Packing?(hopsworks.ai)

   1 points by rvanbruggen 3y ago|1 comments
4. 4.▲
   by rvanbruggen 3y ago

   Interesting - did not know about this term yet. Not surprising as this field is evolving so quickly!
5. 5.▲
   The 3 Why's of feature stores for ML and AI(blog.bruggen.com)

   3 points by rvanbruggen 3y ago|1 comments
6. 6.▲
   by rvanbruggen 3y ago

   Some good content to think through 1. Do I need a feature store? 2. Should I build or buy one? 3. Is Hopsworks a suitable candidate?