𝟭 - 𝗜𝗻𝗱𝗲𝘅𝗶𝗻𝗴: Check the query patterns of your application and create the right indexes. 𝟮 - 𝗠𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝗶𝘇𝗲𝗱 𝗩𝗶𝗲𝘄𝘀: Pre-compute complex query results and store them for faster access. 𝟯 - 𝗗𝗲𝗻𝗼𝗿𝗺𝗮𝗹...

1. Storage Systems: From relational OLTP databases like PostgreSQL and MySQL to distributed SQL DBMS like CockroachDB and TiDB, find the right storage solution for your needs Includes NoSQL ...

Batch Deployment: Process: User requests prediction → Backend service pulls predictions from the database → Daily batch inference by ML service. Usage: Suitable for scenarios where predictions ...

🤖 If you’re looking to build agentic genai applications, these design patterns will give you a great framework to start with! Agentic AI is evolving fast, opening up many possibilities for a new...

One of the main factors for AI having difficulty making its way into the healthcare and banking industry is the requirement for data privacy. For example, if you build a healthcare startup, you ...

In this article, we introduce “Terraform Assistant,” a cutting-edge workflow powered by Llama 3.1. This workflow demonstrates how to generate Terraform scripts on-demand and save them as physica...

💡LazyLLM supports a variety of applications that leverage multi-agent systems and LLMs like RAG, fine-tuning, content-generation etc. and defines workflows such as pipeline, parallel, diverter, ...

Here’s a breakdown of the key components and processes involved 🐧 Power On! ⚡ This signifies the start of the process, when the computer is powered on. 🐧 BIOS (Basic Input/Output System) & ...

Even 𝗡𝗩𝗜𝗗𝗜𝗔 𝗡𝗜𝗠 𝗶𝘀 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝗼𝗻 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, what is 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 and why is it worth learning 𝗮𝘀 𝗠𝗟𝗢𝗽𝘀/𝗠𝗟/𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿? 👉 Today we look into the Kubernetes system from a bird’s eye view. 𝗦𝗼, 𝘄𝗵𝗮𝘁 ...

Apple Intelligence Foundation Language Models 👉 Paper : https://arxiv.org/pdf/2407.21075 Two models: On-device: ~3B param with task-specific LoRA adapters Server: ~70B (my estimation),...