Trustpilot built a real-time streaming pipeline using fine-tuned Google Gemma models to process millions of user reviews under strict latency and cost constraints. The company deployed a suite of spec…
Google has released "gemma-skills," a curated repository of structured skill documents designed to keep AI assistants synchronized with the rapidly evolving Gemma open model ecosystem. The repository'…
Researchers at an undisclosed institution analyzed LoRA fine-tuning in Gemma-2-9B using sparse autoencoders, finding that adapter-specific feature dictionaries show weak geometric alignment with pretr…
Google hosted a Kaggle hackathon challenging developers to train non-reasoning Gemma-2-2B and Gemma-3-1B models into general reasoning models using Tunix and Kaggle TPUs. Over 11,000 entrants and 300+…
Ekorbia v0.2 introduces a comparison-chat mode that runs two to three local large language models against the same prompt in parallel. Testing Gemma 4, IBM Granite 4.1, and Qwen 3.5 on a 32 GB M1 Max …
A new study from arXiv reveals that multimodal large language models (LLMs) frequently produce hallucinated outputs in agricultural imaging tasks, generating biologically inconsistent or agronomically…
Quentin Merle, a web architect with 15 years of experience and founder of Vibrisse Studio, built Ping Prompt, an air hockey game where a small language model (SLM) running entirely locally in the brow…
Ollama and LM Studio now allow users to run open-weight AI models like Qwen 3, Gemma 3, and DeepSeek-R1 locally on consumer hardware without API keys or monthly fees. The tools support quantized model…
A new study of small language models reveals that chain-of-thought prompting for arithmetic relies on a positional shortcut: the model copies whichever number appears last before the answer delimiter,…
SimGemma is an offline-first, AI-powered platform built by tech lead and volunteer teacher Damodharan to generate interactive 3D science simulations using natural language. Designed for the Google Gem…
The article describes a web application called "GP-Online" built to address the gap in patient-facing healthcare software, particularly in Bulgaria where GPs manage over 2,000 patients. The app syncs …
According to the article, Gemma 4's most underrated feature is its built-in "thinking tokens," which provide a visible inner monologue where the model automatically reasons through tasks before genera…
The article describes CodeDNA, a tool built by the author that uses Google's Gemma 4 LLM with its "Thinking Mode" and 128K context window to analyze entire git histories. By feeding it the React repos…
The article argues that the future of AI will favor small, locally-run models over large, cloud-based ones due to their superior user experience. It claims that instant, private interactions with a lo…
The article describes how the author revived their stalled Gemma Agentic Framework project during a GitHub Finish-Up-A-Thon challenge, transforming it from an incomplete prototype with basic scaffoldi…
BeeLlama v0.2.0 demonstrates that speculative decoding can achieve a 4.4x to 4.93x throughput multiplier on a single RTX 3090, running 27B and 31B parameter models at 37-36 tokens per second baseline …
The article covers two main topics: NVIDIA's upcoming RTX 5090 cooling solutions, with AORUS claiming a maximum GPU temperature of 77°C under load, and the release of BeeLlama v0.2.0, which achieves s…
Gemma 4 is a family of open-source AI models designed for local, privacy-focused development, offering variants optimized for different hardware from mobile devices to workstations. Unlike typical mod…
Fragmented workflow of multiple AI services and chunked data processing with Google's Gemma 4 model, which runs locally on consumer hardware like an M1 MacBook Pro. By using Gemma 4's native 128K cont…
The author watched Google I/O 2026 with a focus on whether Google's AI ecosystem was becoming more practical and connected for developers, rather than just on new model announcements. They observed th…