I've been following Eric's posts about SudoLang since the first installment back in March. I've skimmed through the spec and the value proposition quite compelling. SudoLang seeks to allow...
NVIDIA researchers introduce an LLM-based agent with "lifelong learning" capabilities that can navigate, discover, and accomplish goals in Minecraft without human intervention.
The Alexandria Index is building embeddings for large, public data sets, to make them more searchable and accessible.
I've seen a lot of "GPT detection" products floating around lately. Sebastian discusses some of the products and their approaches in this article. Some products claim to have developed an "algorithm...
Brex wrote a nice beginner guide on prompt engineering.
A low-effort quality-of-life improvement for oncall has been starting a week-long shift on a Friday instead of a Monday. Beginning a weekend with oncall isn't the best, but it's more than offset by...
LMQL is a SQL-like programming language for interacting with LMs. It takes a declarative approach to specifying the output constraints for a language model, with a SQL flavor.
marvin's @ai_model decorator implements something similar to what I had in mind for extracting structured data from an input to a language model.
Restricting the next predicted token to adhere to a specific context free grammar seems like a big step forward in weaving language models into applications.
Using system prompts provides an intuitive separation for input and output schema from input content.