LLAMA
Introduction
LLaMA is a family of large language models (LLMs) developed by Meta AI. In their own words, Meta says -
Like other large language models, LLaMA works by taking a sequence of words as an input and predicts a next word to recursively generate text. Smaller models trained on more tokens — which are pieces of words — are easier to retrain and fine-tune for specific potential product use cases.
Note
- We need to sign up and get access to LLAMA models by filling a form with Meta, even if we want to use it through Hugging face.
- We are using LLAMA2-7b in AI3 for summarization. The implementation can be found in the
ai3-hackathonrepository underdocs/nbs - More documentation can be found on the official site on Meta and also Hugging face.
- The link to a 3rd party LLAMA playground is here: llama2.ai