library cuts 65% of tokens by using caveman sentences
Why it matters
makes AI models easier to understand by humans
Related
llama.cpp adds 1-bit inference#
New 1-bit quantization runs 70B models on a laptop.
Why it mattersLocal inference just got dramatically cheaper for indie builders.
0.90 pts#local#quantization#inference
New 32M embedding model rivals larger ones#
A tiny embeddings model matches bge-large on retrieval.
Why it mattersFaster, cheaper semantic search for small apps.
0.78 pts#embeddings#retrieval#search