Nurdle AI
@NurdleAI
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Nurdle helps product teams get AI into production faster, cheaper and easier. Learn more at https://t.co/KmNtIXfxJj.
Remote
Joined September 2023
Discover how specialized models are revolutionizing the corporate world and enhancing the power of LLMs! Forbes Tech Council shares insights on customization, domain-specific training, and industry applications. Read more: https://t.co/OjAO0aZ0gv
#LLMs #AI #TechInnovation
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😎Insights from our CEO @_JustinDavis's @Forbes article on "Navigating @ChatGPTapp Challenges" 🛡️Prioritize Data Privacy 🚫Mitigate Bias in AI 🌟Enhance User Experience Unlock the potential of AI with these strategies! https://t.co/MsAukEeSQs
#ChatGPT #AI #TechInsights
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Our team had a blast nurding out on the exciting things coming up for #NurdleAI in LA last week. Keep an eye out for updates! 😎 #ArtificialIntelligence #MachineLearning #SyntheticData #unstructureddata
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How is your #data impacting model performance? 🤔 We've created a free tool that can test for #dataclusters, #labelskew, and #databias, all without needing to share your data! 🔒 🚀 Try it out https://t.co/JXFIoMKm0m
#DataScience #MachineLearning #AI #DataPrivacy
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See you all tonight! 🎉 We can't wait to Nurd out on #LLMs with Ali Hassanzadeh, Ph.D., Blake Hunter, Elizabeth Hutton, Nina Lopatina, and Othmane Rifki. If you didn't sign up but want to attend, there are a few spots left. RSVP https://t.co/59plwmP6E0
#machinelearning #nlp #ai
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😎Can't wait to Nurd out on #LLMs in #LosAngeles with leading #DataScientists from DRINKS and Spotter next week. https://t.co/hnOekkwNSt
#AI #DataScience #MachineLearning
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Meet Othmane and other #DataScientists, #MachineLearning #engineers, and # AI product leaders at next week's event.
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Meet @OthmaneRifki! 👋 He has been @SpectrumLabsAI Principal Applied Scientist, focusing on developing scalable #NLP applications to detect online toxicity in real-time and, more recently, at @NurdleAI developing tools to generate high-quality synthetic data using #generativeAI.
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🎉We can't wait to NURD out at our #LosAngeles #LLM happy hour and panel next week! Sign up to learn about overcoming #AI challenges like harnessing data in #GenerativeAI era, exploring synthetic #data, and navigating #responsibleai. RSVP https://t.co/hnOekkwNSt
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Join Charlene Chambliss, Senior Software Engineer, Aquarium on November 16th, for an in person panel and networking event to discuss "Productionizing Custom LLMs." Register to attend! https://t.co/YG36LiKlxX
#LLMs #machinelearning #engineer #classification
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☂ Show me products that look like a blue umbrella… "In an #NLP, you take your record, embed it into a fixed dimensionality vector, then do a similarity search or #semanticsearch. The vector stores bring technology closer to human query and help cold-start #LLMs" Othmane Rifki
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😎 Helping fine-tune classifiers, non-chat LLMs, and chat LLMs one dataset at a time. Apply for our pilot program ➡️ https://t.co/t9KDMbhcdP
#data #artificialintelligence #llms #syntheticdata
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👋 We're excited to introduce you to Nina Lopatina, who is the Director of #DataScience at Nurdle AI and one of our expert speakers for the upcoming #LLM panel and happy hour event in 🌉 San Francisco! 🎉 Register for free: https://t.co/YG36LiKTnv
#MachineLearning #AI #LLMs
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💭 Our breakdown of the State of AI Report. 1. Smaller #AI models, better datasets, and longer context. 2. Human-generated #data may only sustain AI scaling trends for a few years. 3. AI safety is top of mind for regulators. Read the full article 👉
lnkd.in
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💡 Tip for scaling your #datainfrastructure from the VP of Data Science at Nurdle AI! 💻 "Once you and your data engineers come together on a cleaning and pre-processing pipeline, that can be scaled better in a separate service 📈." #datapreparation #datalabeling #LLMs
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💭 The use cases for #generativeAI are endless! We're curious... what kind of #artificialintellegence application is your company using?🤔
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📰 The first issue of our monthly newsletter, #nurdle news, is coming out next week. 🎉 Sign up to learn: 📈 Trends in the world of #data, #LLMs, and #GenAI. 🗓 Important events in the field. 💡 Solutions to tackle LLM, #GenerativeAI, and data challenges. https://t.co/yZPXcqBX1G
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We agree! 😎 Nurdle's here to help 🎯
My prediction: in 2024, most companies will realize that smaller, cheaper, more specialized models make more sense for 99% of AI use-cases. The current market & usage is fooled by companies sponsoring the cost of training and running big models (especially with cloud incentives).
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