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FOSS4G NA 2024 - AI Wrangling in the Early 21st Century - Mark Mathis
Mark Mathis discusses the integration of artificial intelligence with geospatial data, showcasing tools and techniques to enhance data accessibility and usability.
Highlights
š Impact Observatory created a global land cover map using AI and convolutional neural networks.
š ļø Natural language interfaces help users request specific geospatial maps easily.
š Prompt engineering is essential for effective communication with AI models.
š§ Function calling allows AI to write code for precise data retrieval instead of generating possibly inaccurate answers.
š Open standards facilitate integration and interoperability in geospatial applications.
āļø Tools like LangChain enhance interaction with AI models for geospatial tasks.
šļø Asynchronous processing enables efficient handling of complex geospatial requests.
For more content like this check out www.projectgeospatial.com
#AI #Geospatial #FOSS4G #MachineLearning #DataScience #OpenStandards #ImpactObservatory
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By Project Geospatial
5
33 ratings
Mark Mathis discusses the integration of artificial intelligence with geospatial data, showcasing tools and techniques to enhance data accessibility and usability.
Highlights
š Impact Observatory created a global land cover map using AI and convolutional neural networks.
š ļø Natural language interfaces help users request specific geospatial maps easily.
š Prompt engineering is essential for effective communication with AI models.
š§ Function calling allows AI to write code for precise data retrieval instead of generating possibly inaccurate answers.
š Open standards facilitate integration and interoperability in geospatial applications.
āļø Tools like LangChain enhance interaction with AI models for geospatial tasks.
šļø Asynchronous processing enables efficient handling of complex geospatial requests.
For more content like this check out www.projectgeospatial.com
#AI #Geospatial #FOSS4G #MachineLearning #DataScience #OpenStandards #ImpactObservatory
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