Google Search
AI - Ongoing Model Improvements
sublime.app
How Generative Engine Optimization (GEO) Rewrites the Rules of Search | Andreessen Horowitz
a16z.com
a couple of the top of my head:
- LLM in the loop with preference optimization
- synthetic data generation
- cross modality "distillation" / dictionary remapping
- constrained decoding
r/MachineLearning - Reddit
Blended search is already with us, and will be refined and developed over the coming years; search engines will continue to hone their ability to understand context in search queries – to divine exactly what users are looking for and to deliver ever more relevant results.
Calvin Jones • Understanding Digital Marketing: Marketing Strategies for Engaging the Digital Generation: Volume 1
By grounding LLMs with use-case-specific information through RAG, the quality and accuracy of responses are improved.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
🧠 DriveToRAG - Turn Your Google Drive into an AI Agent Ready RAG Knowledge Base - n8n workflow
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