Liquid AI's LFM2 model can be fine-tuned using QLoRA and DPO in a complete open-source workflow on Google Colab. The process loads the base LFM2 checkpoint with 4-bit quantization, trains a lightweigh…
A new coding tutorial demonstrates how to build a complete pgvector-powered vector search system inside Google Colab, supporting semantic, hybrid, sparse, and quantized search methods. The guide walks…
A developer created Biopetals, a modified version of the Petals library that enables distributed, BitTorrent-style inference for biology-tuned Llama models across a network of computers. The project w…
Researchers have developed two new frameworks for autonomous, agentic AI in scientific workflows, both using a hybrid Local Body, Remote Brain architecture via Google Colab. The first system, DeepTS/D…
This article describes a standalone Python script called `standalone_toc.py` that generates a table of contents for Google Colab notebooks. The tool helps users map cell IDs to their corresponding hea…
The author used Google Colab, a free cloud-based Python environment, to train an AI for playing an offline card game, as their old MacBook Air could not handle the computational load. It explains the …