According to Andrew Ng, a new Coursera course on Retrieval Augmented Generation (RAG) has been launched in collaboration with DeepLearning.AI. While the course focuses on building production-ready RAG systems, this development is significant for the cryptocurrency sector. Advanced AI capabilities like RAG are increasingly crucial for developing sophisticated crypto trading bots that can analyze vast amounts of market data, news, and social sentiment for more accurate predictions. Furthermore, this skill set is vital for building the next generation of decentralized AI (DeAI) applications on the blockchain, potentially driving innovation and value for AI-related crypto tokens.

According to Vitalik Buterin, a peculiar bug is causing his laptop to consume an excessive 25 watts when the ollama server is active, even if not in use. This has led him to implement keyboard shortcuts to efficiently toggle the server, which he finds inconvenient. Additionally, he is exploring lmstudio, noting its extensive features, particularly in handling large documents with Retrieval-Augmented Generation (RAG).