Foundry
13 pagesData integration, transforms, datasets, Workshop, Contour, ML pipelines, and all things Foundry. Your complete reference for the Palantir Foundry data platform.
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Recommended Project and Team Structure for Foundry Data Pipelines
This document outlines the recommended structure for data pipelines in Palantir Foundry, emphasizing the use of Projects for organized permissions, collaboration, and maintainability. It details five key pipeline stages: Data Connection, Datasource Project, Transform Project, Ontology Project, and Workflow Project, each serving a distinct purpose in the data processing lifecycle.
Overview and Applications of Multi-Agent Systems
This document provides a technical overview of Multi-Agent Systems (MAS), detailing their core components (LLM, Tools, Reasoning Framework), common organizational structures (decentralized, hierarchical, dynamic), and key advantages like flexibility and domain specialization. It also outlines challenges such as coordination complexity and unpredictable behavior, suggesting MAS are best suited for highly complex, multi-domain problems.
Using LLMs for Sentiment Analysis in Pipeline Builder
This document outlines how to perform sentiment analysis using Large Language Models (LLMs) within Palantir Foundry's Pipeline Builder. It details accessing and manipulating the 'Emails' dataset to integrate LLM capabilities for analyzing sentiment directly within the no-code pipeline environment.
Use LLM in Pipeline Builder to parse text
This document explains how to leverage Large Language Models (LLMs) within Palantir Foundry's Pipeline Builder. It demonstrates a practical application of LLMs for parsing unstructured text data directly within the data transformation environment.
Analysis of DoD Audit Findings and Root Causes
This document synthesizes audit findings and root causes from recent U.S. Department of Defense (DoD) financial reports. It highlights the DoD's consistent failure to receive a clean audit opinion since 2018, with approximately 28 material weaknesses affecting over $2.1 trillion in assets for FY2024. Key systemic issues include inability to verify asset existence, unsupported accounting adjustments, weak internal controls, incomplete financial data, fragmented IT systems, and failures in property accountability.
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