Bot API was updated to version 6.4
Forums
• Bots can now open, close, edit and toggle the visibility of the General Topic.
• Added support for new service messages, like ForumTopicEdited, GeneralForumTopicHidden and more.
• The method sendChatAction can now send actions to any thread or topic via the message_thread_id parameter.
Spoilers
• Added spoiler detection via the new has_media_spoiler field in the Message class.
• Bots can send media covered by a spoiler animation via the has_spoiler field in sendPhoto, sendVideo and sendAnimation.
Web Apps
• Added a native QR scanner popup, controllable via showScanQrPopup and closeScanQrPopup.
• Web Apps launched from the attachment menu can request clipboard text via readTextFromClipboard.
• Added a platform field, showing which platform the web app is being used on.
General
• Added the is_persistent field, to keep ReplyKeyboards open by default.
See the full changelog for details on the official website.
#update#BotAPI
https://t.me/+VMLgtEPNL49jZmNh
🚀 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