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@arshadmas shared a post, 10 months, 3 weeks ago
Product Marketer, manageengine

GCP monitoring: A comprehensive guide into maximizing cloud performance

Keeping mission-critical workloads healthy on Google Cloud Platform (GCP) isn’t optional—it’s your job. As organizations increasingly move to GCP for its elasticity and scalability, the complexity of managing cloud-native and hybrid environments grows. For ITOps and CloudOps professionals, the chall..

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@anjali shared a link, 10 months, 3 weeks ago
Customer Marketing Manager, Last9

Instrument LangChain and LangGraph Apps with OpenTelemetry

Understand how to trace, monitor, and debug LangChain and LangGraph apps using OpenTelemetry, down to chains, tools, tokens, and state flows.

LangChain & LangGraph
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@faun shared a link, 10 months, 3 weeks ago
FAUN.dev()

I’m Losing All Trust in the AI Industry

AI bigwigs promiseAGIin a quick 1-5 years, but the revolving door at labs like OpenAI screams wishful thinking. As AI hustles to serve up habit-forming products, the priority on user engagement echoes the well-troddensocial mediaplaybook. Who needs productivity, anyway? Cash fuels AI's joyride, with.. read more  

I’m Losing All Trust in the AI Industry
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@faun shared a link, 10 months, 3 weeks ago
FAUN.dev()

EU businesses push for freedom from AI rules and competition

Mistral's"AI for Citizens" isn't just about tech; it's about shaking up public services for the better. Meanwhile, in the EU, a plot twist—50 European firms holler for halting the AI Act, all in the name of staying competitive. They argue speed matters more than red tape. But hey, watchdogs eye them.. read more  

EU businesses push for freedom from AI rules and competition
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@faun shared a link, 10 months, 3 weeks ago
FAUN.dev()

Gemma 3n Introduces Novel Techniques for Enhanced Mobile AI Inference

Gemma 3nshakes up mobile AI with a two-punch combo:Per-Layer Embeddingsthat axe RAM usage andMatFormerthat sends performance into overdrive with elastic inference and nesting.KV cache sharingcranks up the speed of streaming responses, though it taps out at multilingual audio processing for clips up .. read more  

Gemma 3n Introduces Novel Techniques for Enhanced Mobile AI Inference
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@faun shared a link, 10 months, 3 weeks ago
FAUN.dev()

From Noise to Structure: Building a Flow Matching Model from Scratch

Train a petite neural net to align velocity flows between distributions. DeployFlow Matching lossfor the job. Harness the precision of theAdamoptimizer to keep it sharp... read more  

From Noise to Structure: Building a Flow Matching Model from Scratch
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@faun shared a link, 10 months, 3 weeks ago
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Massive study detects AI fingerprints in millions of scientific papers

Study finds 13.5% of 2024 PubMed papers bear LLM fingerprints, showcasing a shift to jazzy "stylistic" verbs over stodgy nouns.Upending stuffy academic norms!.. read more  

Massive study detects AI fingerprints in millions of scientific papers
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@faun shared a link, 10 months, 3 weeks ago
FAUN.dev()

MCP — The Missing Link Between AI Models and Your Applications

Model Context Protocol (MCP)tackles the "MxN problem" in AI by creating a universal handshake for tool interactions. It simplifies howLLMstap into external resources. MCP leans onJSON-RPC 2.0for streamlined dialogues, building modular, maintainable, and secure ecosystems that boast reusable and inte.. read more  

MCP — The Missing Link Between AI Models and Your Applications
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@faun shared a link, 10 months, 3 weeks ago
FAUN.dev()

Building “Auto-Analyst” — A data analytics AI agentic system

DSPyfuels a modular AI machine, drivingagent chainsto weave tidy analysis scripts. But it’s not all sunshine and roses—hallucination errors like to throw reliability under the bus... read more  

Building “Auto-Analyst” — A data analytics AI agentic system
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@faun shared a link, 10 months, 3 weeks ago
FAUN.dev()

Automatically Evaluating AI Coding Assistants with Each Git Commit ¡ TensorZero

TensorZerotransforms developer lives by nabbing feedback fromCursor'sLLM inferences. It dives into the details withtree edit distance (TED)to dissect code. Over in a different corner,Claude 3.7 SonnetschoolsGPT-4.1when it comes to personalized coding. Who knew? Not all AI flexes equally... read more  

Automatically Evaluating AI Coding Assistants with Each Git Commit ¡ TensorZero
Pelagia is a Kubernetes controller that provides all-in-one management for Ceph clusters installed by Rook. It delivers two main features:

Aggregates all Rook Custom Resources (CRs) into a single CephDeployment resource, simplifying the management of Ceph clusters.
Provides automated lifecycle management (LCM) of Rook Ceph OSD nodes for bare-metal clusters. Automated LCM is managed by the special CephOsdRemoveTask resource.

It is designed to simplify the management of Ceph clusters in Kubernetes installed by Rook.

Being solid Rook users, we had dozens of Rook CRs to manage. Thus, one day we decided to create a single resource that would aggregate all Rook CRs and deliver a smoother LCM experience. This is how Pelagia was born.

It supports almost all Rook CRs API, including CephCluster, CephBlockPool, CephFilesystem, CephObjectStore, and others, aggregating them into a single specification. We continuously work on improving Pelagia's API, adding new features, and enhancing existing ones.

Pelagia collects Ceph cluster state and all Rook CRs statuses into single CephDeploymentHealth CR. This resource highlights of Ceph cluster and Rook APIs issues, if any.

Another important thing we implemented in Pelagia is the automated lifecycle management of Rook Ceph OSD nodes for bare-metal clusters. This feature is delivered by the CephOsdRemoveTask resource, which automates the process of removing OSD disks and nodes from the cluster. We are using this feature in our everyday day-2 operations routine.