🗞🇨🇺☀️ ¡Buenos días! Les compartimos las primeras notas de este viernes, que se pueden leer con VPN desde Cuba:
✈️ El Congreso hondureño tumba el acuerdo aéreo firmado por Xiomara Castro y el régimen cubano https://bit.ly/3YmNbV3
☝🏼 Obama compara los discursos de Trump con los de Fidel Castro y lo acusa de "dividir" EE UU https://bit.ly/3BFEMTH
🌀 El huracán Milton deja una senda de muerte y destrucción a su paso por Florida https://bit.ly/3YnOza0
⚖️ Evo Morales es citado para declarar en un caso de presunta "trata de personas" y "estupro" https://bit.ly/3BwAlKW
🏆 Nobel de la Paz a una organización japonesa contra el uso de las armas nucleares https://bit.ly/3Y0dZJm
🔊#Podcast Reinaldo Escobar: ‘Como lo viví’ del 11 de octubre de 2024 https://bit.ly/4dQULMc
📰 Como todos los viernes, les compartimos nuestra versión en PDF para que lean lo mejor de la semana en 14ymedio https://bit.ly/48b6tA0
🎙 El Cafecito Informativo con Yoani Sánchez https://bit.ly/3Nlxnvd
👋 ¡Hasta más tarde!
🚀 AI TRENDS | Tether Launches QVAC SDK for Cross-Platform AI Development
Tether has introduced the QVAC SDK, a unified software development kit designed to enable developers to build, run, and fine-tune AI applications directly on any device. According to Foresight News, this SDK ensures consistency across different environments.
Applications developed using the QVAC SDK can seamlessly operate on platforms such as iOS, Android, Windows, macOS, and Linux. The same codebase can function across all supported environments without the need for platform-specific branches, rewrites, or conditional logic.
The QVAC SDK is built on QVAC Fabric, a branch of llama.cpp, offering broad compatibility with the llama.cpp model ecosystem for text generation, embedding, and multimodal workloads.
#AI#SDK#CrossPlatform#MachineLearning#LlamaCpp#SoftwareDevelopment#Multimodal#QVAC
#python#agents#generative_ai_tools#llamacpp#llm#onnx#openvino#parsing#retrieval_augmented_generation#small_specialized_models
llmware is a powerful, easy-to-use platform that helps you build AI applications using small, specialized language models designed for business tasks like question-answering, summarization, and data extraction. It supports private, secure deployment on your own machines without needing expensive GPUs, making it cost-effective and safe for enterprise use. You can organize and search your documents, run smart queries, and combine knowledge with AI to get accurate answers quickly. It also offers many ready-to-use models and examples, plus tools for building chatbots and agents that automate complex workflows. This helps you save time, improve accuracy, and securely leverage AI for your business needs[1][3][5].
https://github.com/llmware-ai/llmware