25+ top gen AI how-to guides for enterprise

This resource compiles 25+ how-to guides for building AI applications on Google Cloud. The guides are categorized into four sections: faster model deployment, generative AI app development, fine-tuning and evaluation, and integrations. Faster deployment covers CI/CD pipelines, deploying large models like Llama 3, and using open models in Vertex AI Studio. Generative AI focuses on building document summarizers, multi-turn chat applications, and advanced research agents using LangGraph. Fine-tuning and evaluation guides cover supervised fine-tuning, RAG, RLHF, and model evaluation techniques. Integrations demonstrate building multilingual mobile chatbots and connecting AI to Google Cloud databases. The collection is regularly updated, offering new resources for AI development. Each guide provides practical steps and code examples, enabling hands-on learning. This curated collection aims to streamline the AI learning process by providing readily accessible, practical resources. Users can easily find solutions for common AI development challenges, accelerating their project timelines. The collection encourages community contribution and feedback.