Imports We import modules from Hugging Face’s transforms, peft, and datasets libraries. from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline from peft import prepare_model_for_kbit_training from peft import LoraConfig, get_peft_model from datasets import load_dataset import transformers Additionally, we need the following dependencies installed for some of the previous modules to work. !pip install auto-gptq !pip install optimum !pip…

Optimising multi-model collaboration with graph-based orchestration Orchestra — photographer Arindam Mahanta by unsplashIntegrating the capabilities of various AI models unlocks a symphony of potential, from automating complex tasks that require multiple abilities like vision, speech, writing, and synthesis to enhancing decision-making processes. Yet, orchestrating these collaborations presents a significant challenge in managing the inner relations…

This article will show you different approaches you can take to create embeddings for your data Creating quality embeddings from your data is crucial for your AI system's efficacy. This article will show you different approaches you can use to convert your data from formats like images, texts, and audio, into powerful embeddings that can…