54 KiB
Intelligent Control Plane
!!! info "Architectural Context" Impact-driven reference library for Intelligent Control Plane.
Ai
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xataka.com: Microsoft no quiere poner todos los huevos en la misma cesta: anuncia una asociación con Mistral AI, la OpenAI de Europa 🌟 [ENTERPRISE-STABLE]
- Mistral AI accederá a la infraestructura en la nube de Azure AI para desarrollar sus modelos y ofrecerlos comercialmente
- La startup, con sede en París, acaba de lanzar su modelo de lenguaje Mistral Large y su chatbot conversacional Le Chat
- Mistral AI accederá a la infraestructura en la nube de Azure AI para desarrollar sus modelos y ofrecerlos comercialmente
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apmdigest.com: What Can AIOps Do For IT Ops? - Part 1 🌟 [ENTERPRISE-STABLE]
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guru99.com: Artificial Intelligence Tutorial for Beginners: Learn Basics of AI 🌟🌟🌟 🌟 [CASE-STUDY]
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technologyreview.com: Andrew Ng: Forget about building an AI-first business. Start with a mission 🌟 🌟 [ENTERPRISE-STABLE]
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technologyreview.es: "Las empresas que empiezan a lo grande con la IA fracasan más" 🌟 🌟 [ENTERPRISE-STABLE]
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cio.com: Make Better AI Infrastructure Decisions: Why Hybrid Cloud is a Solid Fit 🌟 🌟 [ENTERPRISE-STABLE]
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businessinsider.es: Los ingenieros de software están aterrorizados ante la posibilidad de ser sustituidos por la IA 🌟 [ENTERPRISE-STABLE]
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computerhoy.com: ¿Qué es el 'Deep Learning' y por qué se considera una revolución en la inteligencia artificial? 🌟 [ENTERPRISE-STABLE]
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poloclub.github.io: What is a Convolutional Neural Network? 🌟 [ENTERPRISE-STABLE]
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freecodecamp.org: Ace Your Deep Learning Job Interview 🌟 [ENTERPRISE-STABLE]
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freecodecamp.org: Deep Learning Fundamentals Handbook – What You Need to Know to Start Your Career in AI 🌟 [ENTERPRISE-STABLE]
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aman.ai/primers/ai: Distilled AI 🌟 [ENTERPRISE-STABLE]
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aman.ai/primers/ai/LLM: Primers - Overview of Large Language Models 🌟 [ENTERPRISE-STABLE]
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forbesargentina.com: Por qué Nvidia, Google y Microsoft apuestan miles de millones en modelos LLM de IA Generativa para biotecnología 🌟 [ENTERPRISE-STABLE]
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youtube: AWS re:Invent 2023 - From hype to impact: Building a generative AI architecture (ARC217) 🎥 🌟 [ARCHITECTURE-GUIDE]
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Machine Learning Crash Course 🌟 [ENTERPRISE-STABLE]
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github.com/microsoft/ML-For-Beginners: Machine Learning for Beginners - A Curriculum 🌟 [ENTERPRISE-STABLE]
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amazon.science/base-tts-samples 🌟 [ENTERPRISE-STABLE]
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github.com/NielsRogge/Transformers-Tutorials 🌟 [CASE-STUDY]
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aman.ai: Transformers 🌟 [ENTERPRISE-STABLE]
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aman.ai: Primers • Bidirectional Encoder Representations from Transformers (BERT) 🌟 [ENTERPRISE-STABLE]
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aman.ai: Primers • Generative Pre-trained Transformer (GPT) 🌟 [ENTERPRISE-STABLE]
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Development Environments for Cloud Agents 🌟 [ENTERPRISE-STABLE]
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Cursor AI Fundamentals Course 🌟 [ENTERPRISE-STABLE]
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Cursor Bugbot Effort Levels Documentation 🌟 [ENTERPRISE-STABLE]
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Claude Code in Action 🌟 [ENTERPRISE-STABLE]
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LLMs-from-scratch 🌟 [ENTERPRISE-STABLE]
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Claude Code Best Practice 🌟 [ENTERPRISE-STABLE]
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Docker for LLMs 🌟 [ENTERPRISE-STABLE]
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Learn to Manage Investments and Cost Efficiency of Azure and AI Workloads 🌟 [ENTERPRISE-STABLE]
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How to run Deepseek R1 LLMs on GPU Droplets 🌟 [CASE-STUDY]
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Automate Pull Request Descriptions in Azure DevOps with Azure OpenAI 🌟 [ENTERPRISE-STABLE]
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github.com/tensorchord/Awesome-LLMOps: Awesome LLMOps 🌟 [FOUNDATIONAL]
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valohai.com/blog/llmops/ 🌟 [ENTERPRISE-STABLE]
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github.com/mlabonne/llm-course 🌟 [ENTERPRISE-STABLE]
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itnext.io: Deploy Flexible and Custom Setups with Anything LLM on Kubernetes 🌟 [ENTERPRISE-STABLE]
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Ignore Prior Instructions: AI Still Befuddled by Basic Reasoning 🌟 [ENTERPRISE-STABLE]
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mad.firstmark.com: The MAD (ML/AI/Data) Landscape 🌟 [ENTERPRISE-STABLE]
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Claude 101: Free Guides to Master Claude 🌟 [ARCHITECTURE-GUIDE]
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github.com/openai/openai-cookbook: OpenAI Cookbook 🌟 [ENTERPRISE-STABLE]
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Introducing Kiro: AWS Agentic AI-Based IDE 🌟 [ENTERPRISE-STABLE]
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Limitless Kubernetes Scaling for AI and Data-intensive Workloads: The AKS Fleet Strategy 🌟 [ENTERPRISE-STABLE]
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Warp: The Agentic Development Environment 🌟 [ENTERPRISE-STABLE]
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k8sgpt.ai 🌟 [ENTERPRISE-STABLE]
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collabnix.com: The Rise of Kubernetes and AI – Kubectl OpenAI plugin 🌟 [ENTERPRISE-STABLE]
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Terraform 2.0 in Practice: Using AI to Generate Infrastructure as Code 🌟 [ENTERPRISE-STABLE]
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Discussion: Where is AI Still Completely Useless? 🌟 [ENTERPRISE-STABLE]
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AI Meets Terraform: Prompt Strategies for Test Generation 🌟 [ENTERPRISE-STABLE]
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AWS Well-Architected IaC Analyzer 🌟 [ENTERPRISE-STABLE]
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hashicorp.com: Accelerate your Terraform development with Amazon CodeWhisperer 🌟 [ENTERPRISE-STABLE]
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IDE extension for AWS Application Composer enhances visual modern applications development with AI-generated IaC 🌟 [ENTERPRISE-STABLE]
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Tech companies cutting devs for AI 🌟 [ENTERPRISE-STABLE]
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Extend your coding agent with .NET Skills 🌟 [ENTERPRISE-STABLE]
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Best Practices for Using GitHub Copilot 🌟 [ENTERPRISE-STABLE]
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Programming with GitHub Copilot Agent Mode 🌟 [ENTERPRISE-STABLE]
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Google Launches Gemini Code Assist, Challenging GitHub Copilot with Generous Free Tier 🌟 [ENTERPRISE-STABLE]
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xataka.com: https://www.xataka.com/servicios/copilot-chatgpt-gpt-4-han-cambiado-para-siempre-mundo-programacion-esto-que-opinan-expertos 🌟 [ENTERPRISE-STABLE]
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Microsoft Dragon Copilot: Unified Voice AI Assistant for Healthcare 🌟 [ENTERPRISE-STABLE]
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blog.redbrickai.com: F.A.S.T. ⚡️ Meta AI’s Segment Anything for Medical Imaging 🌟 [ENTERPRISE-STABLE]
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github.com/SkalskiP/top-cvpr-2023-papers 🌟 [ENTERPRISE-STABLE]
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OpenOps: No-Code FinOps Automation Platform with AI 🌟 [ENTERPRISE-STABLE]
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HolmesGPT (Robusta) 🌟 [ENTERPRISE-STABLE]
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CAST AI 🌟 [ENTERPRISE-STABLE]
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thenewstack.io: The Urgency Driving AIOps into Your Enterprise 🌟 [ENTERPRISE-STABLE]
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thenewstack.io: Intelligent Automation: What’s the Missing Piece of AIOps? 🌟 [ENTERPRISE-STABLE]
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infoworld.com: 5 best practices for securing CI/CD pipelines 🌟 [ENTERPRISE-STABLE]
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infoq.com: AIOps: Site Reliability Engineering at Scale 🌟 [ENTERPRISE-STABLE]
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hashicorp.com: Accelerating AI adoption on Azure with Terraform 🌟 [ENTERPRISE-STABLE]
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hashicorp.com: AI for infrastructure management 🌟 [ENTERPRISE-STABLE]
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platformengineering.org: AI is changing the future of platform engineering. Are you ready? 🌟 [ENTERPRISE-STABLE]
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aws.amazon.com/blogs/industries: BMW Group Develops a GenAI Assistant to Accelerate Infrastructure Optimization on AWS 🌟 [ENTERPRISE-STABLE]
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Cerebras AI 🌟 [ENTERPRISE-STABLE]
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GitHub Copilot CLI for Beginners: Getting Started 🌟 [ENTERPRISE-STABLE]
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Using Workspaces for AI Changes Across Multiple Repos 🌟 [ENTERPRISE-STABLE]
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Awesome NotebookLM Slide Prompts 🌟 [FOUNDATIONAL]
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Tabularis: Open Source Desktop Client for Modern Databases with AI and MCP Integration 🌟 [ENTERPRISE-STABLE]
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Skills for Real Engineers 🌟 [ENTERPRISE-STABLE]
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Google Agents CLI 🌟 [ENTERPRISE-STABLE]
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Draw.io MCP for Diagram Generation: Why It’s Worth Using 🌟 [ENTERPRISE-STABLE]
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Claude Code Templates 🌟 [ENTERPRISE-STABLE]
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Quiz Grader 🌟 [ENTERPRISE-STABLE]
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Azure DevOps MCP Server Public Preview 🌟 [ENTERPRISE-STABLE]
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Awesome MCP Servers 🌟 [FOUNDATIONAL]
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github.com/jupyterlab/jupyter-ai 🌟 [ENTERPRISE-STABLE]
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github.com/XingangPan/DragGAN 🌟 [ENTERPRISE-STABLE]
Mlops
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bea.stollnitz.com: Creating batch endpoints in Azure ML 🌟 [ENTERPRISE-STABLE]
- Suppose you’ve trained a machine learning model to accomplish some task, and you’d now like to provide that model’s inference capabilities as a service. Maybe you’re writing an application of your own that will rely on this service, or perhaps you want to make the service available to others. This is the purpose of endpoints — they provide a simple web-based API for feeding data to your model and getting back inference results.
- Azure ML currently supports three types of endpoints: batch endpoints, Kubernetes online endpoints, and managed online endpoints. I’m going to focus on batch endpoints in this post, but let me start by explaining how the three types differ.
- Suppose you’ve trained a machine learning model to accomplish some task, and you’d now like to provide that model’s inference capabilities as a service. Maybe you’re writing an application of your own that will rely on this service, or perhaps you want to make the service available to others. This is the purpose of endpoints — they provide a simple web-based API for feeding data to your model and getting back inference results.
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Nix 🌟 [ENTERPRISE-STABLE]
- github.com/NVIDIA/nvidia-docker: NVIDIA/nvidia-docker/volumes.go NVIDIA’s documentation is disappointingly evasive on what the “driver” is, but we find a good answer in their official source code.
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zenml.io: ZenML 🌟 [ENTERPRISE-STABLE]
- zenml.io/integrations: Explore the MLOps Landscape with ZenML ZenML integrates with many different third-party tools. Once code is organized into a ZenML pipeline, you can supercharge your ML workflows with the best-in-class solutions from various MLOps areas.
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betterprogramming.pub: Attach a Visual Debugger to ML-training Jobs on Kubernetes 🌟 [ENTERPRISE-STABLE]
- As machine learning models grow in size and complexity, cloud resources are more and more often required for training. However, debugging training jobs running in the cloud can be time-consuming and challenging. In this blog post, we’ll explore how to attach a visual debugger in VSCode to a remote deep learning training environment, making debugging simpler and more efficient.
- In this tutorial, you'll deploy a local Kubernetes cluster with k3d, install the MLOps workflow orchestration engine Flyte, create a simple training workflow, and finally visually debug it using VSCode and debugpy
- As machine learning models grow in size and complexity, cloud resources are more and more often required for training. However, debugging training jobs running in the cloud can be time-consuming and challenging. In this blog post, we’ll explore how to attach a visual debugger in VSCode to a remote deep learning training environment, making debugging simpler and more efficient.
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kaggle.com: Sports Car Prices dataset 🌟 [ENTERPRISE-STABLE]
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cd.foundation: Announcing the CD Foundation MLOps SIG 🌟 [ENTERPRISE-STABLE]
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dafriedman97.github.io: Machine Learning from Scratch 🌟 [ENTERPRISE-STABLE]
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cortex.dev: How to build a pipeline to retrain and deploy models 🌟 [CASE-STUDY]
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github: A very Long never ending Learning around Data Engineering & Machine Learning 🌟 [ENTERPRISE-STABLE]
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towardsdatascience.com: A Kubernetes architecture for machine learning web-application deployments 🌟 [ARCHITECTURE-GUIDE]
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cloud.google.com: How to use a machine learning model from a Google Sheet using BigQuery ML 🌟 [CASE-STUDY]
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itnext.io: Building ML Componentes on Kubernetes 🌟 [ENTERPRISE-STABLE]
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towardsdatascience.com: Deploying An ML Model With FastAPI — A Succinct Guide 🌟 [ARCHITECTURE-GUIDE]
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cloudblogs.microsoft.com: Simple steps to create scalable processes to deploy ML models as microservices 🌟 [ENTERPRISE-STABLE]
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ML Platform Workshop 🌟 [ENTERPRISE-STABLE]
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rubrix 🌟 [ENTERPRISE-STABLE]
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towardsdatascience.com: Automatically Generate Machine Learning Code with Just a Few Clicks 🌟 [ENTERPRISE-STABLE]
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towardsdatascience.com: Schemafull streaming data processing in ML pipelines 🌟 [ENTERPRISE-STABLE]
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analyticsindiamag.com: Top tools for enabling CI/CD in ML pipelines 🌟 [ENTERPRISE-STABLE]
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towardsdatascience.com: Step-by-step Approach to Build Your Machine Learning API Using Fast API 🌟 [ENTERPRISE-STABLE]
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ravirajag.dev: MLOps Basics - Week 10: Summary 🌟 [ENTERPRISE-STABLE]
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mikeroyal/Kubernetes-Guide: Machine Learning 🌟 🌟 [ARCHITECTURE-GUIDE]
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medium.com/workday-engineering: Implementing a Fully Automated Sharding Strategy on Kubernetes for Multi-tenanted Machine Learning Applications 🌟 [ENTERPRISE-STABLE]
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medium.com/globant: Advantages of Deploying Machine Learning models with Kubernetes 🌟 🌟 [ENTERPRISE-STABLE]
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medium.com/pythoneers: MLOps: Tool Stack Requirement in Machine Learning Pipeline 🌟 [ENTERPRISE-STABLE]
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medium.com/formaloo: How no-code platforms are democratizing data science and software development 🌟 🌟 [ENTERPRISE-STABLE]
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towardsdatascience.com: From Jupyter Notebooks to Real-life: MLOps 🌟 🌟 [ENTERPRISE-STABLE]
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datarevenue.com: Airflow vs. Luigi vs. Argo vs. MLFlow vs. KubeFlow 🌟 [ENTERPRISE-STABLE]
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infoworld.com: 13 open source projects transforming AI and machine learning 🌟 [ENTERPRISE-STABLE]
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towardsdatascience.com: From Dev to Deployment: An End to End Sentiment Classifier App with MLflow, SageMaker, and Streamlit 🌟 [ENTERPRISE-STABLE]
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elconfidencial.com: La batalla entre Google y Meta que nadie esperaba: revolucionar la biología 🌟 🌟 [ENTERPRISE-STABLE]
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swirlai.substack.com: SAI #08: Request-Response Model Deployment - The MLOps Way, Spark - Executor Memory Structure and more... 🌟 🌟 [ENTERPRISE-STABLE]
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about.gitlab.com: How is AI/ML changing DevOps? 🌟 [ENTERPRISE-STABLE]
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youtube: Making Friends with Machine Learning | Cassie Kozyrkov | playlist 🌟 🎥 🌟 [ENTERPRISE-STABLE]
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openai.com: Scaling Kubernetes to 7,500 nodes 🌟 🌟 [ENTERPRISE-STABLE]
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huyenchip.com: Building LLM applications for production 🌟 [ENTERPRISE-STABLE]
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medium.com/@study.uttam: Main Challenges of Machine Learning 🌟 [ENTERPRISE-STABLE]
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learn.microsoft.com: Machine Learning operations maturity model 🌟 🌟 [ENTERPRISE-STABLE]
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medium.com/ai-hero: Streamlining Machine Learning Operations (MLOps) with Kubernetes and Terraform 🌟 [ENTERPRISE-STABLE]
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medium.com/@karanshingde: Machine Learning in Production— Your Comprehensive 101 Practical Guide 🌟 [ARCHITECTURE-GUIDE]
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marvelousmlops.substack.com: CI/CD for MLOps on GitLab (part 1) 🌟 [ENTERPRISE-STABLE]
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medium.com/aiguys: MLOps: Serving AI apps to million users 🌟 [ENTERPRISE-STABLE]
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marvelousmlops.substack.com: How to sell MLOps in large Organizations 🌟 [CASE-STUDY]
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marvelousmlops.substack.com: MLOps roadmap 2024 🌟 [ENTERPRISE-STABLE]
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towardsdatascience.com: Deploying LLM Apps to AWS, the Open-Source Self-Service Way 🌟 [ENTERPRISE-STABLE]
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axelmendoza.com: The Ultimate Guide To ML Model Deployment In 2024 🌟 [ARCHITECTURE-GUIDE]
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towardsdatascience.com: Build Machine Learning Pipelines with Airflow and Mlflow: Reservation Cancellation Forecasting 🌟 [ENTERPRISE-STABLE]
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marvelousmlops.substack.com: Technical roles in Data Science: Who is doing what? 🌟 [ENTERPRISE-STABLE]
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marvelousmlops.substack.com: Traceability & Reproducibility 🌟 [ENTERPRISE-STABLE]
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marvelousmlops.substack.com: Learn Machine Learning and Neural Networks without Frameworks 🌟 [ENTERPRISE-STABLE]
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seattledataguy.substack.com: Data Engineering Vs Machine Learning Pipelines 🌟 [ENTERPRISE-STABLE]
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semaphoreci.com: Why Do We Need DevOps for ML Data? 🌟 [ENTERPRISE-STABLE]
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aiml.com: Large Language Models Quiz (Medium) 🌟 [ENTERPRISE-STABLE]
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medium.com/@samiullah6799: Different Roles in MLOps 🌟 [ENTERPRISE-STABLE]
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dev.to/pavanbelagatti: Deploy Any AI/ML Application On Kubernetes: A Step-by-Step Guide! 🌟 [ARCHITECTURE-GUIDE]
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marvelousmlops.substack.com: Sharpen your cookiecutter: speed up repo creation with workflows 🌟 [ENTERPRISE-STABLE]
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decodingml.substack.com: How to ensure your models are fail-safe in production? 🌟 [CASE-STUDY]
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freecodecamp.org: MLOps Course – Learn to Build Machine Learning Production Grade Projects 🌟 [ENTERPRISE-STABLE]
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medium.com/@kevin30101999: Machine Learning Pipeline using Argo workflow 🌟 🌟 [ENTERPRISE-STABLE]
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roadmap.sh: MLOps roadmap 🌟 [ENTERPRISE-STABLE]
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Marvelous MLOps Substack 🌟 [ENTERPRISE-STABLE]
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decodingml.substack.com: Decoding ML Newsletter 🌟 [ENTERPRISE-STABLE]
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youtube.com: Optimizing LLM Training with Airbnb's Next-Gen ML Platform 🎥 🌟 [ENTERPRISE-STABLE]
-
Ray 🌟 [ENTERPRISE-STABLE]
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medium.com/mlearning-ai: The Best Object Detection Libraries That I Work With 🌟 [ENTERPRISE-STABLE]
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artifacthub.io: mlflow-server 🌟 [ENTERPRISE-STABLE]
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pypi.org/project/airflow-provider-mlflow 🌟 [ENTERPRISE-STABLE]
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kubeflow 🌟 [ENTERPRISE-STABLE]
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infracloud.io: Machine Learning Orchestration on Kubernetes using Kubeflow 🌟 [ENTERPRISE-STABLE]
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blog.devgenius.io: Kubeflow Cloud Deployment (AWS) 🌟 [ENTERPRISE-STABLE]
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joseprsm.medium.com: How to build Machine Learning models that train themselves 🌟 [CASE-STUDY]
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medium.com/dkatalis: Creating a Mutating Webhook for Great Good! Or: how to automatically provision Pods on a specific node pool 🌟 [CASE-STUDY]
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Union Cloud 🌟 [ENTERPRISE-STABLE]
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mlops.community: MLOps with Flyte: The Convergence of Workflows Between Machine Learning and Engineering 🌟 [ENTERPRISE-STABLE]
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Machine Learning in Production. What does an end-to-end ML workflow look like in production? (transcript) 🌟🌟🌟 🌟 [ENTERPRISE-STABLE]
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stackoverflow.com: How is Flyte tailored to "Data and Machine Learning"? 🌟 [ENTERPRISE-STABLE]
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union.ai: Production-Grade ML Pipelines: Flyte™ vs. Kubeflow 🌟 [ENTERPRISE-STABLE]
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mlops.community: MLOps Simplified: orchestrating ML pipelines with infrastructure abstraction. Enabled by Flyte 🌟 [ENTERPRISE-STABLE]
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medium.com/@timleonardDS: Who Let the DAGs out? Register an External DAG with Flyte (Chapter 3) 🌟 [ENTERPRISE-STABLE]
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aws.amazon.com: MLOps foundation roadmap for enterprises with Amazon SageMaker 🌟 [ENTERPRISE-STABLE]
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aws.amazon.com: Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD 🌟 [ENTERPRISE-STABLE]
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docs.microsoft.com: MLflow and Azure Machine Learning 🌟 [ENTERPRISE-STABLE]
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blog.devops.dev: Mastering Machine Learning at Scale with Azure Machine Learning 🌟 [ENTERPRISE-STABLE]
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youtube: Deploy Convolutional Neural Network (CNN) on Azure with Python | Deep Learning Deployment | MLOPS 🎥 🌟 [ENTERPRISE-STABLE]
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learn.microsoft.com: Azure Well-Architected Framework perspective on Azure Machine Learning 🌟 [ENTERPRISE-STABLE]
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marvelousmlops.substack.com: Model serving architectures on Databricks 🌟 [ARCHITECTURE-GUIDE]
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medium.com/sync-computing: Top 9 Lessons Learned about Databricks Jobs Serverless 🌟 [ENTERPRISE-STABLE]
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thenewstack.io: KServe: A Robust and Extensible Cloud Native Model Server 🌟 [ENTERPRISE-STABLE]
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medium.com/bakdata: Scalable Machine Learning with Kafka Streams and KServe 🌟 [ENTERPRISE-STABLE]
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analyticsvidhya.com: Bring DevOps To Data Science With MLOps 🌟 [ENTERPRISE-STABLE]
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analyticsindiamag.com: Is coding necessary to work as a data scientist? 🌟 [ENTERPRISE-STABLE]
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redhat.com: Introducing Red Hat OpenShift Data Science 🌟 [ENTERPRISE-STABLE]
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towardsdatascience.com: From DevOps to MLOPS: Integrate Machine Learning Models using Jenkins and Docker 🌟 [ENTERPRISE-STABLE]
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canvatechblog.com: Supporting GPU-accelerated Machine Learning with Kubernetes and Nix 🌟 [ENTERPRISE-STABLE]
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catalog.ngc.nvidia.com: NVIDIA GPU Operator - Helm chart 🌟🌟🌟 🌟 [ENTERPRISE-STABLE]
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jimangel.io: A Practical Guide to Running NVIDIA GPUs on Kubernetes 🌟 [ARCHITECTURE-GUIDE]
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huggingface.co: Implementing Fractional GPUs in Kubernetes with Aliyun Scheduler 🌟 [ENTERPRISE-STABLE]
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medium.com/@bchenjh: Distributed full fine-tuning of Llama2 on Kubernetes 🌟 [ENTERPRISE-STABLE]
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github.com/meta-llama/llama-recipes 🌟 [ENTERPRISE-STABLE]
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bodywork-ml/bodywork-core: Bodywork 🌟 [ENTERPRISE-STABLE]
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learn.iterative.ai: Iterative Tools for Data Scientists & Analysts 🌟 [ENTERPRISE-STABLE]
-
DVC 🌟 [ENTERPRISE-STABLE]
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docs.microsoft.com: Machine Learning Experimentation in VS Code with DVC Extension 🌟 [ENTERPRISE-STABLE]
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tensorchord/envd: Reproducible development environment for AI/ML 🌟 🌟 [ENTERPRISE-STABLE]
-
postgresml/postgresml 🌟 🌟 [ENTERPRISE-STABLE]
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blog.devgenius.io: Training model with Jenkins using docker: MLOPS 🌟 [ENTERPRISE-STABLE]
-
vaex.io 🌟 [ENTERPRISE-STABLE]
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thenewstack.io: 7 Must-Have Python Tools for ML Devs and Data Scientists 🌟 🌟 [ENTERPRISE-STABLE]
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github.com/SymbioticLab/Oobleck: Oobleck - Resilient Distributed Training Framework 🌟 [ENTERPRISE-STABLE]
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github.com/CASIA-IVA-Lab/FastSAM 🌟 [ENTERPRISE-STABLE]
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github.com/VikParuchuri/surya 🌟 [ENTERPRISE-STABLE]
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github.com/aimhubio/aim 🌟 [ENTERPRISE-STABLE]
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github.com/XuehaiPan/nvitop 🌟 🌟 [ENTERPRISE-STABLE]
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github.com/Netflix/metaflow 🌟 🌟 [ENTERPRISE-STABLE]
-
github.com/decodingml: Real-time news search engine using Upstash Kafka and Vector DB 🌟 [ENTERPRISE-STABLE]
-
fepegar/vesseg 🌟 [ENTERPRISE-STABLE]
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github.com/10tanmay100: MEDICAL-DATA-PROJECT-END2END-WITH-FEW-MLOPS 🌟 [ENTERPRISE-STABLE]
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dair-ai/ML-Course-Notes: ML Course Notes 🌟 🌟 [ENTERPRISE-STABLE]
-
Kaggle Competitions 🌟 [ENTERPRISE-STABLE]
-
isic-archive.com 🌟 [ENTERPRISE-STABLE]
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freecodecamp.org: How to Download a Kaggle Dataset Directly to a Google Colab Notebook 🌟 [CASE-STUDY]
Chatgpt
- medium.com/@andretost_75145: Using ChatGPT to learn Kubernetes and OpenShift 🌟 [ENTERPRISE-STABLE]
- ansible.com: Ansible and ChatGPT: Putting it to the test 🌟 [ENTERPRISE-STABLE]
- betterprogramming.pub: ChatGPT and Software Architecture 🌟 [ARCHITECTURE-GUIDE]
- genbeta.com: En la era de la inteligencia artificial, Microsoft es el nuevo Google 🌟 [ENTERPRISE-STABLE]
- abcabhishek.substack.com: ChatGPT for generating SQL as a Data Engineer's assistant 🌟 [ENTERPRISE-STABLE]
- businessinsider.es: Uso ChatGPT entre 50 y 70 veces al día para todo, desde preparar reuniones hasta quitarme el pegamento de los dedos 🌟 [ENTERPRISE-STABLE]
- thenewstack.io: Using ChatGPT for Questions Specific to Your Company Data 🌟 [ENTERPRISE-STABLE]
- techrepublic.com: ChatGPT Cheat Sheet: Complete Guide for 2023 🌟 [ARCHITECTURE-GUIDE]
- businessinsider.mx: 5 trucos de ChatGPT que pueden ayudar a reducir tu carga laboral 🌟 [ENTERPRISE-STABLE]
- christianmartinezfinancialfox.medium.com: How to use ChatGPT to improve your Microsft Excel skills? 🌟 [CASE-STUDY]
- thenewstack.io: Developers Put AI Bots to the Test of Writing Code 🌟 [ENTERPRISE-STABLE]
- aihr.com: 21+ ChatGPT Prompts for HR To Accelerate Your Productivity 🌟 [ENTERPRISE-STABLE]
- TableauGPT — The Ultimate Guide on how to utilize its full potential in Finance 🌟 [ARCHITECTURE-GUIDE]
- k8sgpt.ai 🌟 [ENTERPRISE-STABLE]
- github.com/robusta-dev/chatgpt-yaml-generator 🌟 [ENTERPRISE-STABLE]
- Discussion: Where is AI Still Completely Useless? 🌟 [ENTERPRISE-STABLE]
- Tech companies cutting devs for AI 🌟 [ENTERPRISE-STABLE]
- Cerebras AI 🌟 [ENTERPRISE-STABLE]
- Awesome NotebookLM Slide Prompts 🌟 [FOUNDATIONAL]
- LLMs-from-scratch 🌟 [ENTERPRISE-STABLE]
- Claude 101: Free Guides to Master Claude 🌟 [ARCHITECTURE-GUIDE]
- Think Python 🌟 [ENTERPRISE-STABLE]
- Microsoft Dragon Copilot: Unified Voice AI Assistant for Healthcare 🌟 [ENTERPRISE-STABLE]
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Ai-agents-mcp
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