A naukri.com initiative
Medium
2M
59
Image Credit: Medium
The Role of Tokenizers and Transformers in LLMs
- Tokenizers break down raw text into manageable pieces called tokens.
- Transformers process tokens to produce embeddings that capture the meaning of each token in its context.
- Precision plays a role in accurately calculating embeddings and subsequent activations in transformers.
- Efficiency in tokenization, encoding, and attention mechanisms allows for real-time interactions and rapid AI responses.
Read Full Article
3 Likes
For uninterrupted reading, download the app