Hugging
A Coding Guide to Build an Intelligent Conversational AI Agent with Agent Memory Using Cognee and Free Hugging Face Models
In this tutorial, we delve into building an advanced AI agent with agent memory using Cognee and Hugging Face models, utilizing entirely free, open-source tools that work seamlessly in Google Colab and other notebook. We configure Cognee for memory storage and retrieval, integrate a lightweight conversational model for generating responses, and bring it all together…
A Step by Step Guide to Build an Interactive Health Data Monitoring Tool Using Hugging Face Transformers and Open Source Model Bio_ClinicalBERT
In this tutorial, we will learn how to build an interactive health data monitoring tool using Hugging Face’s transformer models, Google Colab, and ipywidgets. We walk you through setting up your Colab environment, loading a clinical model (like Bio_ClinicalBERT), and creating a user-friendly interface that accepts health data input and returns interpretable disease predictions. This…
Hugging Face shows how test-time scaling helps small language models punch above their weight
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In a new case study, Hugging Face researchers have demonstrated how small language models (SLMs) can be configured to outperform much larger models. Their findings show that a Llama 3 model with 3B parameters can outperform…