zeroshotlearning.app

#Zero Shot Learning Application Meta

#Moving Object Detection

#No Code AI Patform

#Visual Intelligence Platform

#Artificial Intelligence

#Visual Data Management

#Automotive Industry

#Drone Detection

#Small Object Detection

#Convnet Based Object Detection

#Deep Learning For Object Detection

#Moving Object Trajectory Prediction

#Ship Detection

#Ship Classification

#Neural Network For Object Detection

#Fast Object Detection

#Road Crack Detection

#Object Detection For Avoidance

#Instance Segmentation

#Deep Learning

#Generic Object Detection

#Convolutional Neural Network

#Autonomous Device

#UAS

#Unmanned Helicopter

#Unmanned Aerial Vehicle

#UAV

#Generalized Zero Shot Learning (GSZL) | Recognizing new classes only by examining their descriptions | Helping AI systems swiftly process new data in real-world circumstances, making them more scalable

#Swarming

#Unmanned Railway Crossing

#Surface Object Detection

#Low Altitude Surveillance

#Robotic Perception | Acquiring knowledge from sensor data

#SLAM | Simultaneous Localization and Mapping

#Zero shot object detection | System can recognize objects based on their descriptive features instead of depending on labeled data

#Large Language Model (LLM) | Foundational LLM: ex Wikipedia in all its languages fed to LLM one word at a time | LLM is trained to predict the next word most likely to appear in that context | LLM intellugence is based on its ability to predict what comes next in a sentence | LLMs are amazing artifacts, containing a model of all of language, on a scale no human could conceive or visualize | LLMs do not apply any value to information, or truthfulness of sentences and paragraphs they have learned to produce | LLMs are powerful pattern-matching machines but lack human-like understanding, common sense, or ethical reasoning | LLMs produce merely a statistically probable sequence of words based on their training | LLMs are very good at summarizing | Inappropriate use of LLMs as search engines has produced lots of unhappy results | LLM output follows path of most likely words and assembles them into sentences | Pathological liars as a source for information | Incredibly good at turning pre-existing information into words | Give them facts and let them explain or impart them

#Retrieval Augmented Generation. (RAG LLM) | Designed for answering queries in a specific subject, for example, how to operate a particular appliance, tool, or type of machinery | LLM takes as much textual information about subject, user manuals and then pre-process it into small chunks containing few specific facts | When user asks question, software system identifies chunk of text which is most likely to contain answer | Question and answer are then fed to LLM, which generates human-language answer in response to query | Enforcing factualness on LLMs