Technical foundations of AI search and text generation

Organizations face challenges adopting AI in search and natural language processing due to complex architectures and costly training.

This e-book offers insights into generative AI, from embeddings and transformers to advanced retrieval-augmented generation (RAG). It provides strategies for integrating AI into search while addressing implementation hurdles.

• Explore transformer architectures, self-attention, and contextual embeddings
• Compare domain-specific strategies like pre-training, fine-tuning, and RAG
• Overcome AI issues like hallucinations, outdated knowledge, and retraining costs

Gain foundational knowledge and actionable strategies for AI-powered search solutions.