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💧🌏 Greg CocksSegment Anything Model Can Not Segment Anything - Assessing AI Foundation Model’s Generalizability In Permafrost Mapping -- <a href="https://doi.org/10.3390/rs16050797" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.3390/rs16050797</a> <-- shared paper -- <a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#GIS</a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatial</a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#mapping</a> <a href="https://techhub.social/tags/remotesensing" class="mention hashtag" rel="nofollow noopener" target="_blank">#remotesensing</a> <a href="https://techhub.social/tags/foundationmodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#foundationmodel</a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://techhub.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#artificialintelligence</a> <a href="https://techhub.social/tags/zeroshot" class="mention hashtag" rel="nofollow noopener" target="_blank">#zeroshot</a> <a href="https://techhub.social/tags/segmentation" class="mention hashtag" rel="nofollow noopener" target="_blank">#segmentation</a> <a href="https://techhub.social/tags/GeoAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#GeoAI</a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatialanalysis</a> <a href="https://techhub.social/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LargeLanguageModel</a> <a href="https://techhub.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://techhub.social/tags/SAM" class="mention hashtag" rel="nofollow noopener" target="_blank">#SAM</a> <a href="https://techhub.social/tags/performance" class="mention hashtag" rel="nofollow noopener" target="_blank">#performance</a> <a href="https://techhub.social/tags/metrics" class="mention hashtag" rel="nofollow noopener" target="_blank">#metrics</a> <a href="https://techhub.social/tags/permafrost" class="mention hashtag" rel="nofollow noopener" target="_blank">#permafrost</a> <a href="https://techhub.social/tags/visionmodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#visionmodel</a> <a href="https://techhub.social/tags/icewedge" class="mention hashtag" rel="nofollow noopener" target="_blank">#icewedge</a> <a href="https://techhub.social/tags/Arctic" class="mention hashtag" rel="nofollow noopener" target="_blank">#Arctic</a> <a href="https://techhub.social/tags/warming" class="mention hashtag" rel="nofollow noopener" target="_blank">#warming</a> <a href="https://techhub.social/tags/climatechange" class="mention hashtag" rel="nofollow noopener" target="_blank">#climatechange</a> <a href="https://techhub.social/tags/thawslumps" class="mention hashtag" rel="nofollow noopener" target="_blank">#thawslumps</a> <a href="https://techhub.social/tags/landform" class="mention hashtag" rel="nofollow noopener" target="_blank">#landform</a> <a href="https://techhub.social/tags/terrainmapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#terrainmapping</a> <a href="https://techhub.social/tags/EuroCrops" class="mention hashtag" rel="nofollow noopener" target="_blank">#EuroCrops</a> <a href="https://techhub.social/tags/agriculture" class="mention hashtag" rel="nofollow noopener" target="_blank">#agriculture</a>

Pierre MonninProud to announce our new paper, "Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning" with Lucas Jarnac and Miguel Couceiro, accepted in <a href="https://sigmoid.social/tags/cikm2023" class="mention hashtag" rel="nofollow noopener" target="_blank">#cikm2023</a> <a href="https://sigmoid.social/tags/knowledgeGraph" class="mention hashtag" rel="nofollow noopener" target="_blank">#knowledgeGraph</a> <a href="https://sigmoid.social/tags/machineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machineLearning</a> <a href="https://sigmoid.social/tags/graphEmbedding" class="mention hashtag" rel="nofollow noopener" target="_blank">#graphEmbedding</a> <a href="https://sigmoid.social/tags/transferLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#transferLearning</a> <a href="https://sigmoid.social/tags/zeroShot" class="mention hashtag" rel="nofollow noopener" target="_blank">#zeroShot</a> <a href="https://sigmoid.social/tags/openScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#openScience</a>

Shiwali Mohan | शिवाली मोहन<a href="https://sigmoid.social/@Riedl" class="u-url mention" rel="nofollow noopener" target="_blank">@Riedl</a> I have a <a href="https://sigmoid.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> that has 100% accuracy and <a href="https://sigmoid.social/tags/ZeroShot" class="mention hashtag" rel="nofollow noopener" target="_blank">#ZeroShot</a> transfer on all blocks world problems. It is 'better than humans' who only have 80% accuracy. I call it the PDDLModel. With some prompt engineering (also called model writing), it can <a href="https://sigmoid.social/tags/zeroshot" class="mention hashtag" rel="nofollow noopener" target="_blank">#zeroshot</a> transfer to other problems like tower-of-hanoi, 8-puzzle, eaters, and what not. It even fits on a raspberry pi. We can only imagine what this new <a href="https://sigmoid.social/tags/AGI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AGI</a> would enable.<a href="https://github.com/gerryai/PDDL4J/blob/master/pddl/blockworld/blocksworld.pddl" rel="nofollow noopener" target="_blank">https://github.com/gerryai/PDDL4J/blob/master/pddl/blockworld/blocksworld.pddl</a>Let's all play this game!!

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