ContentPosts from @naren..
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AWS Lambda announces native support for Avro and Protobuf formatted Kafka events

AWS Lambdanow natively supportsAvroandProtobufformatted Kafka events, dancing through schema chaos with Glue and Confluent registries. Toss custom deserialization in the trash; plug inPowertoolsand let open-source Kafka consumer interfaces do the grunt work... read more ย 

AWS Lambda announces native support for Avro and Protobuf formatted Kafka events
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Terraform AWS provider 6.0 now generally available

Terraform AWS Provider 6.0bursts onto the scene with multi-region support. Now, devs can tweak 32 config files in one shot, slimming down memory bloat. ๐ŸŒ๐Ÿ’ป.. read more ย 

Terraform AWS provider 6.0 now generally available
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On Azureโ€™s new SRE Agent

Microsoft's shinySRE Agentwades into network snafus with swagger but makes some bold, perplexing claimsโ€”like leaning on faulty data insights for fixes. Slick demos dazzle, yet its "approve and act" zeal might lure newbies into rash decisions. Handle with care!.. read more ย 

On Azureโ€™s new SRE Agent
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Inside Googleโ€™s Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other

Agent2Agent (A2A)is the new gospel for AI agents, taking over as the universal translator across platforms. Imagine 50+ tech behemoths waving its banner. A2A, clutchingJSON-RPC 2.0 over HTTP(S), crafts a chat apocalypse for AI, wiping out the custom integration chaos, much like the venerableInternet.. read more ย 

Inside Googleโ€™s Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other
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Lenovo introduces new AI-optimized data center systems

Lenovo'sThinkSystem SR680a V4doesn't just performโ€”it explodes with AI power, thanks to Nvidia'sB200GPUs. We're talking4nmchips with a mind-boggling208 billion transistors. Boost? Try11x... read more ย 

Lenovo introduces new AI-optimized data center systems
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How to Build an Asynchronous AI Agent Network Using Gemini for Research, Analysis, and Validation Tasks

The Gemini Agent Network Protocol introduces powerful AI collaboration with four distinct roles. Leveraging Googleโ€™s Gemini models, agents communicate dynamically for improved problem-solving... read more ย 

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Automate customer support with Amazon Bedrock, LangGraph, and Mistral models

Welcome to the jungle of customer support automation, fueled byAmazon BedrockandLangGraph. These tools juggle the circus act of ticket management, fraud sleuthing, and crafting responses that could even fool your mother. Integration with the likes ofJiramakes for a dynamic duo. Together, they tackle.. read more ย 

Automate customer support with Amazon Bedrock, LangGraph, and Mistral models
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The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

FrontierLarge Reasoning Models (LRMs)crash into an accuracy wall when tackling overly intricate puzzles, even when their token budget seems bottomless.LRMsexhibit this weird scaling pattern: they fizzle out as puzzles get tougher, while, curiously, simpler models often nail the easy stuff with flair.. read more ย 

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
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A Reality Check on DeepSeek's Distributed File System Benchmarks

3FSisn't quite matching its own hype. Yes, it boasts a flashy8 TB/s peak throughput, but pesky network bottlenecks throttle usage to roughly 73% of its theoretical greatness. Efficiencyโ€™s hiding somewhere, laughing. A dig intoGraySortshows storage sulking on the sidelines, perhaps tripped up by CRAQ.. read more ย 

A Reality Check on DeepSeek's Distributed File System Benchmarks
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Reinforcement Learning Teachers of Test Time Scaling

Reinforcement-Learned Teachers (RLTs)ripped through LLM training bloat by swapping "solve everything from ground zero" with "lay it out in clear terms." Shockingly, a lean 7B model took down hefty beasts likeDeepSeek R1. These RLTs flipped the script, letting smaller models school the big kahunas wi.. read more ย 

Reinforcement Learning Teachers of Test Time Scaling