How to successfully build GenAI applications

[Sujitha]

The Big Book of Generative AI brings together best practices and know-how for building production-quality GenAI applications. You’ll find technical content and code samples that will help you do everything from deploying your first application to building your own custom large language model trained on your data.

Download the eBook now to learn:

• How to build a retrieval augmented generation (RAG) application like a chatbot
• How to fine-tune a foundation model
• How to train your own foundation model from scratch
• Evaluation and monitoring of LLMs to ensure integrity and reliability of the AI application
• The different generative AI architectural patterns

Click here to read full story and download the e-book.

[Ajay-Pandey]

Thanks for sharing!

[ramnarayanan]

To successfully Build AI Software  with GenAI, focus on RAG pipelines for context-rich apps, fine-tuning or training models for domain needs, and robust evaluation for reliability. Using architectural patterns like modular microservices ensures scalability. Firms such as CONTUS Tech emphasize monitoring and feedback loops to maintain model integrity, which is critical for deploying production-grade generative AI applications.