Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...

Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...
GitHub

Python STC ReST API Client: stcrestclient

The stcrestclient package provides the stchttp ReST API library module. This allows simple function calls, nearly identical to those provided by StcPython.py, to be used to access TestCenter server ...
IEEE

Analyzing Unstructured Data: Natural Language Processing Frameworks, Challenges, Approaches, and Applications

Abstract: Today’s world data is about 80-90% unstructured, which makes it very complex to analyze, interpret and understand. Meaningful insights, patterns are hidden in the data, discovering knowledge ...
GitHub

LEAP: Evolutionary Algorithms in Python

LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.
IEEE

McPAL: Scaling Unstructured Sparse Inference with Multi-Chiplet HBM-PIM Architecture for LLMs

Abstract: Large language models (LLMs) have gained significant attention recently. However, executing LLM is memory-bound due to the extensive memory accesses. Process-in-memory (PIM) emerges as an ...