New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
Nature

A universal language for finding mass spectrometry data patterns

The versatility of MS to capture unique characteristics of chemical structures, such as isotopic patterns (for example, bromination), diagnostic fragmentation (for example, product ion of sulfur ...
Nature

Using large language models in psychology

Language is a core aspect of all areas of psychological science. For instance, language is a primary means through which children form mental models of the world (developmental psychology). These ...
GitHub

Samples, tutorials and other information about watsonx.data

IBM® watsonx.data is a hybrid, open data lakehouse to power AI and analytics with all your data anywhere. A key feature is the ability to access all data through a single point of entry with a shared ...
GitHub

GPTCache : A Library for Creating Semantic Cache for LLM Queries

🎉 GPTCache has been fully integrated with 🦜️🔗LangChain! Here are detailed usage instructions. 🐳 The GPTCache server docker image has been released, which means that any language will be able to ...