all AI news
[D] Is a single channel enough for Positional Encoding in Transformers?
March 29, 2024, 12:04 p.m. | /u/bnqj
Machine Learning www.reddit.com
I’ve been exploring a new approach to positional encoding that I’m calling VAPE - Vector Addition Positional Encoding.
**The Method**:
* borrow some number of channels from queries and keys,
* run a cumulative (prefix) sum across sequence length on these borrowed channels (add vectors together),
* normalize - divide by the square root of the vector's magnitude,
* we now have position-aware channels,
* so concatenate them back to queries and …
channels encoding keys machinelearning positional encoding queries square together vector vectors
More from www.reddit.com / Machine Learning
[D] Does DSPy actually change the LM weights?
1 day, 4 hours ago |
www.reddit.com
[D] Culture of Recycling Old Conference Submissions in ML
1 day, 7 hours ago |
www.reddit.com
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US