Fading Coder

One Final Commit for the Last Sprint

Adapting Large Language Models: In-Context Learning, Fine-Tuning, and RLHF

Contextual Learning and IndexingModern generative Large Language Models (LLMs) demonstrate contextual learning capabilities, allowing them to perform new tasks without weight updates. By providing a few examples within the input prompt, the model can infer the desired pattern and generate appropriat...

Fine-Tuning Gemma Models with Hugging Face and Parameter-Efficient Methods

Google DeepMind's Gemma language models are available with open weights on Hugging Face. The family includes 2B and 7B parameter variants, offered in both pre-trained and instruction-tuned versions. These models are supported on the Hugging Face platform and can be deployed and fine-tuned on service...