Langfuse Flashcards
🧭 Langfuse Flashcards Open-source LLM observability: traces, evals, prompts, and cost tracking 🔎 What is Langfuse? Langfuse is an LLM observability & analytics platform to log, debug, evaluate, and optimize Read More …
Dagster Flashcards
🧩 Dagster Flashcards Data orchestrator for building, scheduling, and observing data assets 💡 What is Dagster? An open-source data orchestrator focused on assets, reliability, and developer productivity for data platforms. Read More …
Lightdash Flashcards
✨ Lightdash Flashcards Open-source BI built on dbt — explore metrics from your SQL models 💡 What is Lightdash? An open-source BI tool that reads your dbt project and lets Read More …
GraphQL Flashcards
🔺 GraphQL Flashcards Query language & runtime for APIs — fetch exactly what you need 💡 What is GraphQL? A query language for APIs and a server-side runtime to fulfill Read More …
Temporal Flashcards
⏱️ Temporal Flashcards Durable execution platform for reliable, long-running workflows 💡 What is Temporal? A platform for writing fault-tolerant workflows in code. It guarantees state, retries, and progress despite failures. Read More …
Gradio Flashcards
🎨 Gradio Flashcards Build, share, and demo machine learning apps effortlessly in Python 💡 What is Gradio? Gradio is a Python library that lets you create interactive web apps for Read More …
K3s vs. MicroK8s: An Architectural and Operational Analysis for Edge Kubernetes Deployments
Executive Summary This report provides a definitive technical comparison of K3s and MicroK8s, two leading CNCF-certified Kubernetes distributions optimized for edge computing. Our analysis concludes that the choice between them Read More …
Operationalizing Intelligence: A Comprehensive Guide to LLMOps Versioning, Deployment, and Monitoring Strategies
The New Frontier: Defining the LLMOps Paradigm The rapid proliferation of Large Language Models (LLMs) has catalyzed a fundamental shift in the field of artificial intelligence, moving from predictive models Read More …
Architectures of Scale: A Comprehensive Analysis of Multi-GPU Memory Management and Communication Optimization for Distributed Deep Learning
Section 1: The Scalability Imperative in Modern Deep Learning 1.1 The Exponential Growth of Model Complexity The field of artificial intelligence, particularly deep learning, has been characterized by a relentless Read More …
Architecting Intelligence: A Comprehensive Report on Building Multimodal AI Systems for Complex Decision-Making
Part I: The Foundations of Multimodal AI This initial part of the report establishes the fundamental principles that govern the field of multimodal Artificial Intelligence (AI). It moves from a Read More …