NEW YORK–(BUSINESS WIRE)–Deep Instinct, the zero-day data security company built on the first and only AI-based deep learning framework for cybersecurity, today announced the launch of DSX for Cloud – Amazon FSx NetApp, delivering real-time prevention and explainability of zero-day attacks for NetApp workloads, wherever they reside. “Cybercriminals are increasingly leveraging AI to create and deploy […]| Merchant Fraud Journal
SAN FRANCISCO–(BUSINESS WIRE)–Unit21, a global risk and compliance leader that proactively mitigates risks tied to fraud, money laundering, and other financial crimes, today announced a new bundle of features for Automated Clearing House (ACH) transactions. These features use Generative AI (GenAI) and machine learning (ML) to help banks, credit unions, payments companies, and fintechs proactively detect and […]| Merchant Fraud Journal
Explore the latest, faster Gemini Nano on Pixel 10 devices via GenAI APIs, allowing developers to build consistent, high quality in-app AI features.| Android Developers Blog
| ChatGPT’s new Study Mode: Personalised learning or just another shortcut?| FE News
Explore the top 3 Google I/O '25 Android AI announcements, making AI development easier and smarter with Gemini Nano, AI Edge, and Firebase AI Logic.| Android Developers Blog
LLMs may be just the stepping stone technology we needed. But stepping to where exactly? And how?| Philip Sheldrake
I like this GenAI: Perception vs Reality pdf from Jellyfish. Short and sweet. Jellyfish provides visibility into software development processes by integrating with Jira, GitHub, and CI/CD pipelines. As a result of their large customer base, Jellyfish are able to analyze more data than most individual companies can. In this case, they looked at 4,200 […]| Shaun Abram
In most of today’s Global 2000 enterprises, stodgy shared services are failing to deliver value beyond back-office support, provide exciting...| Horses for Sources | No Boundaries
In this blog post you will learn how to evaluate LLMs using Hugging Face lighteval on Amazon SageMaker.| www.philschmid.de
In this blog post you will learn how to fine-tune LLMs using Hugging Face TRL, Transformers and Datasets in 2024. We will fine-tune a LLM on a text to SQL dataset.| www.philschmid.de
Learn how to evaluate LLMs and RAG pipelines using Langchain and Hugging Face| www.philschmid.de
Learn how to deploy Llama 2 models (7B - 70B) to Amazon SageMaker using the Hugging Face LLM Inference DLC.| www.philschmid.de
Learn how to deploy Falcon 40B to Amazon SageMaker using the new Hugging Face LLM Inference DLC.| www.philschmid.de
