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 ...
No Jitter

Companies focus on unstructured data to scale AI

Even though unlocking unstructured data and processing datasets faster can help with AI projects, organizations still need to ensure their governance, security and data management strategies are ...
IEEE

Improving Data Cleaning by Learning From Unstructured Textual Data

Abstract: In data analysis, a significant amount of erroneous or incomplete data can hinder informed organizational decisions prompting the need for automated data cleaning. Leveraging successful ...
NextBigFuture

nvidia plans to make all unstructured data structured

Nvidia will structure hundreds of zettabytes per year of unstructured data to make it the ground truth for AI. AI will created value from that data. Brian Wang is a Futurist Thought Leader and a ...
IEEE

Trajectory Planning for Autonomous Cars in Low-Structured and Unstructured Environments: A Systematic Review

Abstract: Autonomous driving research has gained attention in recent years due to its great potential in reshaping transportation systems. It is highly noticeable that most research focuses on ...