Next.js的动态

If you're building a chat frontend for an LLM using React, save countless hours fighting browser quirks and get this component. From the author of React Virtuoso, the best open source virtualized list, grid, and table.

?? The fast, simple way to serve AI models ?? https://lnkd.in/eD-5UYCt ? (2x)+ faster serving ? Easy to use ? LLMs, non LLMs and more ? Bring your own model ? PyTorch/JAX/TF/... ? Built on FastAPI ? GPU autoscaling ? Batching, Streaming ? Self-host or ?? managed

Harnessing the power and real-time interaction you get from streaming AI assistants within FlutterFlow's native API has posed a bit of a challenge... until now. In conjunction with BuildShip, I've developed a way to deliver users a chat-like response securely via Firebase without a ton of custom code in FlutterFlow. Better yet, it's just 3 steps. Check it out and let me know what you think! https://lnkd.in/gUrqRMV9 Clone the workflow from BuildShip: https://lnkd.in/g3_9y_8Y Then grab the template from FlutterFlow Marketplace here: https://lnkd.in/ggiK_WcN

#Confluent’s origin and mission is to set #DatainMotion. In today’s competitive business landscape, where competition is plentiful and the pace of innovation continues to accelerate, there is a need to respond quickly and ideally glean insights instantaneously from real-time data. I’m glad to be able to share my thoughts with CXOToday on how we’re empowering key industries with streaming use cases and enabling real-time analytics and AI. Also, not forgetting how open source projects like Apache #Kafka and Apache #Flink have advanced innovation in streaming. Read the full article here: https://lnkd.in/g7trKFqt #datastreaming #streamprocessing

Big news, Bitmovin has joined NVIDIA's Inception Program to emphasise our commitment to delivering AI-powered video streaming innovations for the media and entertainment industry. What does this mean? Bitmovin will benefit from access to NVIDIA’s technology and technical expertise, including the latest GPUs to efficiently handle extensive language models, such as large language models (LLMs) and domain-specific models. We'll also be better connected to like-minded startups and industry leaders who are laser-focused on advancing the possibilities of AI. https://okt.to/o194JZ

A big shout out to SiliconANGLE & theCUBE for featuring Datorios! We're so proud to be recognized for enhancing data streaming visibility to support reliable, real-time AI systems. Check it out here. #datorios #apacheflink #dataobservability

Top 3 thoughts on Open AI's Dev day 1) Realtime streaming API ?? with function calling!! 2) Coding a drone from scratch, new o1 preview more capable 3) Vision Fine tuning - vision fine tuning making single shot vision applications much more powerful Excited to play with the streaming API and hook it into things!

Is your organization utilizing streaming data to drive business value? Data in Motion and becoming a "Data Streaming Organization" (DSO) will put you and your organization down the best path to drive business results. Join us at Current in Austin, TX on Sep 17th and Sep 18th to see how your organization can drive business value now.. https://lnkd.in/e8Hb7Kdk. #dataminmotion #confluentexecadvisors #datastreamingorganization #confluentdso

??Using Redpanda, OpenAI, and MongoDB to generate vector embeddings on streaming text This isn’t just another post about Retrieval Augmented Generation (RAG) - It focuses more on how to create text embeddings on streaming data. https://lnkd.in/gQQeyxN2

Explore the capabilities of #NVIDIAMetropolis microservices for developing #visionAI applications with customizable, cloud-native APIs. Learn how to leverage APIs to streamline software development, including video streaming, AI-based insights, and analytics, and integrate them into client applications.