NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain p ...

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...

Public opinion shifts rapidly and benchmarks are not reliable.

All-around, highly generalizable generative AI models were the name of the game once, and they arguably still are. But increasingly, as cloud vendors large and small join the generative AI fray, we’re ...

Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path. To overcome this brute-force ...