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๐ญ๐ญ ๐๐ฒ๐ ๐๐ฒ๐ฎ๐๐๐ฟ๐ฒ๐ ๐ผ๐ณ ๐๐ฎ๐ป๐ฒ๐๐: โ Intelligent Test Generation: Provides intelligent test generation through NLP-based instructions.
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KaneAI Key Features: Intelligent Test Generation with NLP
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KaneAI: First End-to-End Software Testing Agent Using AI
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A thread on KaneAI by @LambdaTesting โ worldโs first end-to-end software testing agent. KaneAI leverages advanced #AI and cutting-edge Large Language Models LLMs to simplify test creation, debugging, and evolution using natural language. Key Features and How to get startedโฆ -
ChatGPT replacing Excel for formulas and tables
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L'intelligence artificielle a tuรฉ Excel ! Fini les formules complexes et les tutoriels YouTube de 15 heures. Voici comment vous pouvez crรฉer des formules, des codes et des tableaux avec ChatGPT : [ Ajoutez en signet et RT pour ne pas perdre ! ]
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How ChatGPT Can Replace Complex Excel Formulas
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L'intelligence artificielle a tuรฉ Excel ! Fini les formules complexes et les tutoriels YouTube de 15 heures. Voici comment vous pouvez crรฉer des formules, des codes et des tableaux avec ChatGPT : [ Ajoutez en signet et RT pour ne pas perdre ! ]
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Top Enterprise GenAI Use Cases: Coding, Support, Search, Data
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Top #GenAI #Enterprise Use Cases Coding: 51% adoption โ dev tools like GitHub Copilot hit $300M Support #Chatbots: 31% โ 24/7 customer & employee Search: 28% โ unlock data silos Data Transformation: 27% โ AI-driven insights Meeting Summaries: 25% โ tools
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LangSmith Intro Course Gains Positive User Feedback
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Intro to langsmith course is getting good feedback – check it out https://
m.youtube.com/watch?v=KcGoJP
K-0tY
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Graph Neural Networks: Foundations, Frontiers, and Python Applications
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"Graph #NeuralNetworks โ Foundations, Frontiers, and Applications" at http://
amzn.to/3AAzrdv
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Do it with #Python: http://
amzn.to/3Oj2QiG
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#Coding #DataScience #DataScientist #GraphDB #LinkedData #KnowledgeGraph #AI #MachineLearning #DeepLearning #Algorithms -
Graph Networks Learn Language from Minimal Labels
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Can Graph Networks learn language from almost no labels? https://
arxiv.org/abs/2412.08174