ginbazinga

3 ms·

1. 1.▲
   Decision Tree for Starting Point to Learn LLM(canva.com)

   2 points by ginbazinga 2y ago|0 comments
2. 2.▲
   by ginbazinga 2y ago

   I resonated with this urge to dig into the material a lot. For me, two use cases of "digging" come up a lot: 1. I want to know how the concept I'm learning can connect with other concepts that I'm interested in (i.e., re
3. 3.▲
   by ginbazinga 3y ago

   I'm also enthusiastic about new education solutions, and I found traditional MOOCs are 1. too long for one sit; 2. passive; 3. lack personalization. So I'm building a new solution that aims at solving these problems: https:/
4. 4.▲
   by ginbazinga 3y ago

   "underlying knowledge graph" is a directed acyclic graph (DAG), based on prerequisite relations among topics. So you are right that there cannot be cycles but it's not a tree either because a tree (technically) only allows on
5. 5.▲
   by ginbazinga 3y ago

   If OP still wants to learn the mathematical foundation of transformers, I built a free alternative learning tool: https://afaik.io/nebula?mode=nebula&category=blueprint&id=ed... It's also based on an underlying
6. 6.▲
   by ginbazinga 3y ago

   Hi, I'm the first author of the paper and I read your blog post. The reason I chose k=2 is because it's recommended to use n^{1/2} and I wanted to pick a k that's compatible with 5-shot setting. But you are right this is