LangGraph – powering agents and agent platforms from LinkedIn, Uber, Klarna, Replit, and more
GENERATIVE AI
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Interrupt Conference: GenAI Builders Join Early Bird Tickets
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Early bird tickets for Interrupt end TODAY! We want to make sure people hear from speakers who have actually BUILT things with GenAI Just announced Uber will speaking, joining Replit, 11x, Factory, Cognition, etc Come join! https://
interrupt.langchain.com -
Uber engineers share LangGraph reusable agent components
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Last chance to buy early-bird tickets for Interrupt — and we've got more speakers joining the lineup! Sourabh (
@sshirhatti
) and Matas (
@MatasRastenis
) from @uber will be sharing how they're building reusable agent components with LangGraph. Expect real production examples -
Meta Democratizes Language Technology with UNESCO Partnership Program
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In support of @UNESCO
’s work, we’re inviting collaborators to join us in democratizing language technology and building more inclusive AI systems with the Language Technology Partner Program https://
go.fb.me/ccrklu -
Frontier LLMs Earn $1M Real-World Freelance Software Engineering
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SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering? Miserendino et al.: https://
arxiv.org/abs/2502.12115 #Artificialintelligence #Deeplearning #MachineLearning -
Latent Character Arithmetic: Vector Space Representation in GANs
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The idea of Latent Character Arithmetic is this. Every image in the latent space of the GAN is a vector in a high-dimensional space that encodes abstract features of the characters. At the time, "word vectors" (like word2vec) were a hot topic in the machine learning community,
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GANs and Generative AI Revolutionizing Artistic Creation
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This piece was part of a larger work called "A Book from the Sky", an homage to the work of Xu Bing, who created thousands of fictitious Chinese characters. At the time, GANs were new, and I was convinced generative AI models would one day revolutionize how we make art and
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Generating New Characters Using GANs Latent Space
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With this trained model, I was able to "hallucinate" characters, as well as dream up totally *new* ones inside the "latent space" of the model.
— Gene Kogan (@genekogan) 20 février 2025
From about 2015-2017 this was a fairly obscure work for me, but as GANs became increasingly popular, it began to receive recognition… pic.twitter.com/9BzKhDmJ7mWith this trained model, I was able to "hallucinate" characters, as well as dream up totally *new* ones inside the "latent space" of the model. From about 2015-2017 this was a fairly obscure work for me, but as GANs became increasingly popular, it began to receive recognition
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DataRobot Showcases Predictive and Generative AI at Gartner
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We’re heading to Orlando for #GartnerDA! Stop by booth 905 to learn how your team can confidently infuse predictive and generative AI into your business with DataRobot. Schedule a booth demo here: https://
bit.ly/3CPDdDH
