Introduction If you’re starting your journey in Artificial Intelligence , understanding the AI technology stack is crucial. From foundation models like GPT and Llama to real-world applications like ChatGPT and AI copilots, this guide breaks down the entire ecosystem so you can see how everything connects. The AI Stack – Layer by Layer 1. Foundation Models At the base are large-scale models like OpenAI’s GPT , Meta’s Llama , and Anthropic’s Claude . These models are trained on massive datasets and power most modern AI applications. 2. Inference & Platforms Once models exist, they need to be deployed efficiently. Platforms like AWS Bedrock , Google Vertex AI , and Hugging Face handle model serving , fine-tuning , and scaling . 3. Frameworks Frameworks like PyTorch , TensorFlow , and LangChain give developers the tools to build AI workflows and applications. 4. Tools & Integrations Libraries like Scikit-learn , Pandas , and Weights & Biases help with ML experiments....
Exploring the skies of cloud computing, one byte at a time.