Karan Kadakia

Deepchecks has teamed up with Amazon Bedrock to make LLM evaluation inside RAG workflows simple and practical! 🔍 Deepchecks brings continuous monitoring and version-aware scoring. ⚡ Bedrock adds on-demand, pay-as-you-go evaluation jobs. Together, they help builders reduce hallucinations, ensure trustworthy outputs, and keep LLM pipelines production-ready. 👉 Read the full hands-on guide: Practical LLM Evaluation>> https://lnkd.in/dedWaXfe Philip Tannor | Shir Chorev

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Numaflow allows engineers without Kubernetes experience to easily build and manage data processing pipelines for high-throughput workloads. By Joab Jackson feat. Sriharsha Yayi (Intuit)

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Amazon EMR isn’t just “big data on AWS” it’s how teams actually process massive datasets at scale without managing everything from scratch. If you’ve ever wondered: • Why one machine can’t handle big data • How Spark, Hive, Presto run at scale • What EMR really manages vs what you control • When EMR is the right choice (and when it’s not) This breakdown walks through EMR end-to-end clusters, data flow, scaling, cost optimization, and real-world use cases. 👉 Save this if you’re working with Spark, Hadoop, or large-scale batch processing. 👉 Share it with someone learning AWS Data Engineering. Explore a wide range of industry-ready courses in Data Engineering, Data Science, AI Engineering, Data Analytics, Business Analysis, and more only at GrowDataSkills. 🌐 Whether you prefer live instructor-led classes or self-paced learning with real-world projects, there’s a learning path designed for you. 💡 ✅ Explore & Enroll Now: www.growdataskills.com 🤝 Dedicated Placement Assistance & Doubt Support 📞 Call/WhatsApp for queries: (+91) 9893181542 #AmazonEMR #AWS #DataEngineering #BigData #ApacheSpark #Hadoop #CloudComputing #Analytics #GrowDataSkills

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Stop paying for documentation tools that lock up your data. Cloud Codex is here. Real-time collaboration. Full control. Zero SaaS dependency. No lag. No merge conflicts. No vendor lock-in. Built for teams that move fast: • Live multi-user editing with conflict-free sync • Inline comments, versioning, and granular permissions • Markdown + rich text — your workflow, your choice • Deploy it yourself or let us host it for you Own your documentation. Own your data. Period. https://lnkd.in/ewnzxpDc https://lnkd.in/edX-McQ2 #DevTools #SelfHosted #CloudComputing #Startups #BuildInPublic #Engineering

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JSON Prompting vs Text Prompting: What’s the Difference? Text prompts are flexible, conversational, and human-friendly but they can leave room for ambiguity. JSON prompts, on the other hand, use explicit fields and machine-readable syntax, which reduces guesswork and makes outputs more structured. Both have their place. Use text when you want creativity and open-ended responses. Use JSON when you need precision, consistency, and reliable formatting. Moreover, we are offering a Free Certification Course on Prompt Engineering: https://lnkd.in/gUZ9Zd7Q #AnalyticsVidhya #PromptEngineering #JSON Which one do you find yourself using more often?

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