GPU Puzzles (2021)
Sasha Rush released GPU Puzzles, an interactive notebook teaching beginner GPU programming through coding exercises that map Python to CUDA kernels using NUMBA. The puzzles aim to build intuition for …
Sasha Rush released GPU Puzzles, an interactive notebook teaching beginner GPU programming through coding exercises that map Python to CUDA kernels using NUMBA. The puzzles aim to build intuition for …
Unsloth launched Unsloth Studio, a desktop application for Mac and Windows that runs AI models offline, supporting GGUF and Safetensors formats with tool-calling, web search, and an OpenAI-compatible …
A developer demonstrated the differences between foundation, instruct, and chat models using Hugging Face's SmolLM2-135M family in a free Google Colab notebook. By asking the same question to three mo…
ZeroGPU released a Batch API that enables overnight tagging of customer reviews using a small, efficient model (LFM2.5-1.2B-Instruct) instead of expensive frontier LLMs. The API processes thousands of…
An SEO professional used Google Gemini to build a custom Python script that automated the creation of hreflang XML sitemaps for over a dozen multilingual websites, saving days of manual work. The proj…
Google released the Colab CLI, an open-source command-line tool that lets developers and AI agents run Python code on remote Colab GPUs and TPUs directly from a local terminal. The tool supports sessi…
A self-taught student successfully fine-tuned the open-source Qwen 2.5-7B language model into a Discord bot named Monika, using 687 in-game dialogues and QLoRA 4-bit compression on Google Colab's free…
Google announced the Google Colab Command-Line Interface (CLI), a tool that connects local terminals to remote Colab runtimes for zero-friction execution by developers and AI agents. The CLI enables u…
Microsoft released a tutorial demonstrating how to run a browser-use agent workflow using Microsoft Fara in Google Colab. The tutorial guides users through setting up a mock OpenAI-compatible endpoint…
After two weeks of effort, a developer failed to make OpenCV recognize game cards from screenshots on an 8-year-old MacBook Air. The template matching pipeline broke due to unnormalized image sizes, o…
Steve released Architecture A2, a new standard neural network recipe for modeling guitar and bass amps, on Neural Amp Modeler. The update enables users to train A2 models through TONE3000 or open-sour…
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 …