AI Insights: Breaking Down the Generative AI Tech Stack for Beginners
Welcome back, viewers! Ever wondered what powers the mind-blowing experiences of generative AI? In this video, we’re peeling back the layers of the tech stack, revealing the magic that makes it all happen.
🔍 1. Compute Hardware Providers: At the iceberg’s base, witness the colossal power of providers like Nvidia, crucial for training and processing requests in parallel.
đź’ˇ 2. Cloud Platforms: Explore the essential role of AWS, GCP, and Azure, shaping the landscape with scalable services for virtual machines, storage, and machine learning platforms.
🤖 3. AI Models: Dive into the world of foundational models like GPT-4 and Claude, accessible via APIs, unlocking NLP magic for developers.
🔧 4. Infrastructure Optimization: Discover the tools and services streamlining model training, with companies like Databricks leading the way in data lakehouse approaches.
🚀 5. Applications: At the tip of the iceberg, witness companies like Jasper and Typeface, crafting AI-assisted content and generating on-brand assets for mainstream applications.
🔗 Summary of Tech Stack: Recap the layers—Compute Hardware Providers, Cloud Platforms, AI Models, Infrastructure Optimization, and Applications—comprising the foundational tech stack.
Source: Product Gurl