SMRTR summary
Vector databases improve RAG systems by quickly matching queries to document embeddings using algorithms like HNSW, creating graph structures for fast navigation and enabling LLMs to incorporate external knowledge efficiently.
SMRTR provides this summary for quick context. The original article belongs to Medium.
Read the original articleThis archive is built from SMRTR newsletter stories. Subscribe for hand-picked stories without the extra noise.
SpaceKit AI is a public research hub for Growformer, an ML system with a promote-freeze neural substrate, language model experiments, neural cellular automata, and reproducible...
Using AI to scan 100M+ configurations, WSU researchers found six working 3D-print settings for NASA's GRCop-42 rocket alloy in just 40 experiments, potentially enabling printing...
Small AI models are now 10x cheaper than before, making high-volume consumer and business AI apps financially viable—tasks costing $1 now cost ~$0.10, enabling affordable,...
Connect Calendly's MCP server to Quickchat AI to build a no-code scheduling assistant that handles bookings and cancellations in chat. Enable only 5 of 36 tools to keep it secure.
The piece satirizes tech-bro certainty about AI replacing writers, using absurd logic and fake statistics to parody real thought leaders—exposing how hollow and self-serving those...
Researchers at the Pierre Auger Observatory developed a Keras-based neural network using shared LSTMs and hexagonal convolutions to reconstruct cosmic-ray properties more...