How to Get Logs from Docker Containers
Learn how to access, filter, and monitor Docker container logs, plus tips for structured logging, rotation, and production-ready setups.
Updates and recent posts about GPT.. Link
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Customer Marketing Manager, Last9
Improve Consistency Across Signals with OTel Semantic Conventions
Correlate logs, metrics, and traces faster by using consistent field names and schemas with OpenTelemetry semantic conventions.
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@anjali shared a link, 1 month, 2 weeks ago
Customer Marketing Manager, Last9
How Replicas Work in Kubernetes
Understand how Kubernetes uses replicas to ensure your application stays available, handles traffic spikes, and recovers from pod failures automatically.
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@arshadmas shared a post, 1 month, 2 weeks ago
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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, 1 month, 2 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.
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@faun shared a link, 1 month, 2 weeks ago
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..
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@faun shared a link, 1 month, 2 weeks ago
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 ..
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@faun shared a link, 1 month, 2 weeks ago
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...
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@faun shared a link, 1 month, 2 weeks ago
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..
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@faun shared a link, 1 month, 2 weeks ago
Google Cloud donates A2A to Linux Foundation- Google Developers Blog
IntroducingAgent2Agentand brace yourself for the heavyweights—AWS, Cisco, Google, and a few more, are in on it. Their mission? Crafting the universal lingo for AI agents. It's called theA2A protocol. Finally, they're smashing the silos holding AI back...
GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.
One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.
GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.
