NeuroBait is a Hugging Face community project built to help with ADHD task-initiation freeze rather than diagnosis or to-do planning. It fine-tunes google/gemma-3-12b-it with LoRA to produce short, warm, context-aware nudges. The project uses Unsloth and Modal for training, then deploys on a Hugging Face Space with Gradio, transformers, peft, and a runtime LoRA adapter.
In the current wave of enterprise AI adoption, most decision-makers fall into the "scale myth" when making AI procurement decisions — the belief that the…
As AI technology continues to iterate at a rapid pace, the developer community is confronting a profound rethinking of the question: "Is fine-tuning heading…
This case study from Hugging Face details how quantitative asset management firm Capital Fund Management (CFM) has optimized its investment and research…
This official Replicate tutorial walks through in detail how to use LoRA (Low-Rank Adaptation) technology to fine-tune FLUX.1 [dev] — currently the most…
Replicate Intelligence #12 rounds up the most noteworthy AI technical developments and community trends from late August 2024, centered on three core themes…
This edition of Replicate Intelligence #11 compiles major recent technical breakthroughs and application trends in the generative AI space, focusing primarily…
Meta's Llama 3.1 represents a major milestone in the open-source AI landscape. The most notable model is the 405B (405 billion parameter) version — the first…
In the current wave of generative AI, the industry's attention is gradually shifting from "fine-tuning model architectures" to "improving data quality." Issue…
This issue of Replicate Intelligence #3 brings curated content on three core themes for developers and AI enthusiasts: 1. **Garden State Llama**: This is a…
Meta officially released Llama 3, the next generation of its open-source large language models, on April 18, 2024. The initial release includes two parameter…
This case study details how biomedical AI startup Ryght leveraged Hugging Face's Expert Support service to overcome the many challenges of deploying generative…
Hugging Face has announced the launch of Idefics2, the next generation of its open-source Vision Language Model (VLM). With 8 billion (8B) parameters, this…
Google has officially released a new family of open-source large language models called "Gemma" — a series of lightweight, state-of-the-art open-source models…
AI cloud hosting platform Replicate has officially announced support for fine-tuning with RVC (Retrieval-based Voice Conversion). This new feature allows…
This official guide from Hugging Face is designed for readers without a technical background. It provides a detailed walkthrough of how to use Hugging Face's…
Meta and Microsoft jointly announced Llama 2, a new generation of open-source large language models. Compared to the original Llama, Llama 2 increases training…
With the explosion of foundation models and large language models (LLMs), enterprises are eager to incorporate these powerful technologies into real-world…
Hugging Face introduced the powerful application of its no-code and low-code platform, AutoTrain, for image classification tasks. Traditionally, training a…