We're collaborating with Helicone (YC W23) to bring LLM observability features to Fireworks users! Now you can build on tracking costs, usage, time to first tokens, and metrics to optimize your AI apps. To get started: https://lnkd.in/efqB2V-4
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Is this your AI app's status page? You can't build a great company with such a status page. Here are some ways to ensure your AI app's uptime: 1. Subscribe to alerts: Get notified when an issue occurs and resolve it immediately. https://lnkd.in/g2VysHh7 2. Balance loads: Distribute LLM requests between deployments and models to avoid overload. https://lnkd.in/gY6cRPTN 3. Set up fallbacks: When your upstream provider is down, have fallbacks to move your apps to another provider smoothly. https://lnkd.in/gsiV8_gV
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Ever wondered what you can achieve in just 15 minutes? How about building an AI chat app? In my latest article, "Building a Chat App with AI in 15 Minutes", I guide you through this process using Semantic Kernel and plugins. Give it a read and let's redefine productivity together 🔗👉 https://lnkd.in/drFDMbC3 #AI #SemanticKernel #ChatApp #DotNet
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Crashlytics is making issue debugging even easier with the help of #Gemini. So proud of the team, and stay tuned for a video link to my formal announcement at #GoogleIO tomorrow. 🎉🎉🎉🎉🎉🎉🎉
Launching: AI Assistance in Crashlytics → https://goo.gle/3UEy71T 💡 This includes more detailed app error insights, cohesive crash summaries, sample code, recommended next steps, and links to relevant documentation. #GoogleIO
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I may be biased, but I think GPTs are completely junk compared to the actual apps that offer the full service. Apps should integrate AI into their functionality for optimal use, instead of building a very thin layer GPT. Anyways, here are our GPTs: https://pdf.ai/gpts
PDF.ai | Free PDF GPTs
pdf.ai
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An App per day, every single day. Showcasing real world functionality of ML and AI. This app is coded in R. It's a Shiny Virtual Pet app. Play with it, feed it, etc., the gauges move. All because of ML and Statistical Analytics!
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Receive near real-time updates through RSS feed subscriptions using efficient polling. Seamlessly normalize and process RSS, Atom, and JSON feeds. This feature is now integrated into the Blackbird Utilities app, available at no cost with every Blackbird account. When combined with content extraction (scraping) and AI capabilities, content operations can become incredibly powerful and versatile. https://lnkd.in/gV8TjFNs
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This has to be one of the most frequently asked questions in the Voiceflow community: 'How do I track token usage for individual AI agents?' 🤔 To address this, I've developed a web app that tracks token usage for individual AI agents on Voiceflow, called IntelleTokens. 👨🏽💻 Check it out here: https://lnkd.in/eXa4CQCe 🚀 Use it for free (for now), I also have some cool features in the pipeline! ⌨️ If any of you Voiceflow users also have any token related feature suggestions, I'm all ears! 👂🏼 Steve IntelleSync
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There’s a huge gap between an AI demo and a production ready AI app. It’s easy to get a prototype up. But getting it production ready is a whole different story. ⬇️ Some of the challenges going from prototype to production include: ⚫ query validation ⚫ query augmentation ⚫ adding guardrails ⚫ improving accuracy ⚫ and handling updates to context. All of these can be difficult and time-consuming tasks. So if you’ve gotten an AI demo working, remember that there could still be a long road ahead to get it ready for consumer use. --- Agree or disagree? Let me know in the comments below. 👇
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Build a Real-Time AI Image App with WebSockets, Excalidraw, Next.js, and Fal.ai by Nader Dabit https://lnkd.in/eaANR_v2
Latent Consistency - Build a Real-Time AI Image App with WebSockets, Excalidraw, Next.js, and Fal.ai
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Just these two commands, and you'll get an LLM endpoint ready for AI app teams in your organization. Weave AI is an #LLM toolkit for #Kubernetes, designed with both Platform teams and Dev teams in mind, and powered by #FluxCD. Available today with an enterprise-ready LLM catalog here: https://lnkd.in/g2WSkzqJ
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