Federated Supervised Fine-Tuning for Small Language Models (SLMs) - ethicalabs-ai/BlossomTuneLLM

Classification with Random Forest, LightGBM and XGBoost.

The rise of AI isn’t about replacing humanity; it’s about amplifying it

Command-line tools for Synthetic Datasets Generation - ethicalabs-ai/completionist

From Proof of Concept to Huggingface App 🤗

A Blog post by Massimo Roberto Scamarcia on Hugging Face

YouTube video by Massimo Scamarcia

Can a Small, Fine-Tuned Model Generalize Beyond Its Training Scope?

Arc Institute develops the largest AI model for biology to date in collaboration with NVIDIA, bringing together Stanford University, UC Berkeley, and UC San Francisco researchers

From Synthetic Data to Recursive Self-Refinement: An On-Device Experiment

OpenAI has eliminated a page on its website that used to express its commitment to diversity, equity, and inclusion. The URL “https://openai.com/commitment-to-dei/” now redirects to “https://openai.com/building-dynamic-teams/,” a page that talks about people with “different backgrounds” with no use of the word “diversity.” The previous page stated that the company’s “investment in diversity, equity and inclusion” […]

Nashville-based Angel Q (previously known as Angel Kids AI), got its start building a safer browser option for kids to access the internet. But browsers are not the only way of searching for […]

A Blog post by Pierre-Carl Langlais on Hugging Face

The practice of fine-tuning models on synthetic data is becoming well established. But synthetic training data, even if it represents the training...