White House plan signals “open-weight first” era—and enterprises need new guardrails
Enterprises will not see immediate impact from the AI Action Plan, but it signals wider support for open-source models and evaluations.Read More
Trump Says He’s ‘Getting Rid of Woke’ and Dismisses Copyright Concerns in AI Policy Speech
The remarks, which came during a keynote speech at a summit hosted by the All-In Podcast, follow President Donald Trump’s newly released AI Action Plan.
AI meets antiquity: Ancient historian tests DeepMind’s transformative new model
A University of Warwick epigraphy expert has collaborated with Google DeepMind to evaluate “Aeneas,” an AI model that reimagines Roman inscriptions.
Flux Kontext Zoom Out LoRA
https://civitai.com/models/1800528?modelVersionId=2037657 https://huggingface.co/reverentelusarca/flux-kontext-zoom-out-lora submitted by /u/sktksm [link] [comments]
Zero-Shot and Few-Shot Classification with Scikit-LLM
In this article, you will learn: • how Scikit-LLM integrates large language models like OpenAI’s GPT with the Scikit-learn framework for text analysis.
Building a Plain Seq2Seq Model for Language Translation
This post is divided into five parts; they are: • Preparing the Dataset for Training • Implementing the Seq2Seq Model with LSTM • Training the Seq2Seq Model • Using the Seq2Seq Model • Improving the Seq2Seq Model In
Synthetic Dataset Generation with Faker
In this article, you will learn: • how to use the Faker library in Python to generate various types of synthetic data.
Gemini 2.5 Flash-Lite is now ready for scaled production use
Gemini 2.5 Flash-Lite, previously in preview, is now stable and generally available. This cost-efficient model provides high quality in a small size, and includes 2.5 family features like a 1 million-token context window and multimodality.
Beyond accelerators: Lessons from building foundation models on AWS with Japan’s GENIAC program
In 2024, the Ministry of Economy, Trade and Industry (METI) launched the Generative AI Accelerator Challenge (GENIAC)—a Japanese national program to boost generative AI by providing companies with funding, mentorship, and massive compute resources for foundation model (FM) development. AWS was selected as the cloud provider for GENIAC’s second cycle (cycle 2). It provided infrastructure …
25+ top gen AI how-to guides for enterprise
The best way to learn AI is by building. From finding quick ways to deploy open models to building complex, multi-agentic systems, it’s easy to feel overwhelmed by the sheer volume of resources out there. To that end, we’ve compiled a living, curated collection of our 25+ favorite how-to guides for Google Cloud. This collection …