Hello community, this is my first blog post! ☺️
I'm excited to share with the community a revolutionary methodology to customise language models.
We all know how time consuming and how much effort is required to tune a LLM, that is why IBM Research and MIT-IBM Watson AI Lab, have come up with a novel methodology called LAB (Large-Scale Alignment for chatbots).
The basis of this methodology is performing a more efficient tuning by using a taxonomy (a specific way of organising our information) , a multiple step tuning approach and a teacher model to create the tuning dataset.
The key benefits of InstructLAB are:
1) Having transparency of the model's knowledge
2) Lightweight tuning approach which can be performed on a laptop
3) Easy & targeted data generation (by using curated synthetic data)
4) Step by step tuning approach to avoid catastrophic forgetting.
If you wan't to know more, check out my visual deep dive on the topic: InstructLAB - Visual deep dive
Hope you like it, have a wonderful day!!
#watsonx.ai#TuningStudio#GenerativeAI