Data Labeling in #MachineLearning with #Python — Explore modern ways to prepare labeled data for training and fine-tuning #ML and #GenerativeAI models: http://
amzn.to/49Qm4Vc v/ @PacktPublishing —————
#DataScience #AI #GenAI #DeepLearning #DataStrategy #DataScientist #CDO
GENERATIVE AI
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Data Labeling in Machine Learning with Python for AI Models
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AI-Assisted Programming for Web and Machine Learning Development
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#AI-Assisted Programming for Web and Machine Learning — Improve your development workflow with ChatGPT and GitHub Copilot: https://
amzn.to/4gBsvPW v/ @PacktPublishing ———
#DataScience #ML #DeepLearning #MachineLearning #DataScientists
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Key Features:
Utilize prompts to -
Generative AI Application Integration Patterns for LLMs
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Generative #AI Application Integration Patterns — Integrate large language models into your applications: https://
amzn.to/3ZxirkU v/ @PacktPublishing ———
#LLMs #DataScience #ML #GenAI #GenerativeAI #DeepLearning #MachineLearning #DataScientists
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Key Features:
Get familiar -
Machine Learning and Generative AI for Marketing with Python
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#MachineLearning and #GenerativeAI for Marketing using #Python :: http://
amzn.to/4dNES9Z v/ @PacktPublishing ——————
#AI #DataScience #ML #GenAI #Martech #CMO #Adtech -
Data Management Critical to Building Successful AI Products
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"AI models are very very smart. And also, insanely dumb."@ShaunMClowes on why building great AI products is 90% a data-management problem. https://t.co/kWMQtFDglA pic.twitter.com/DA9whOJuL0
— Lenny Rachitsky (@lennysan) 30 décembre 2024"AI models are very very smart. And also, insanely dumb." @ShaunMClowes on why building great AI products is 90% a data-management problem.
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Adobe Creative Trends Report 2025 Guide Released
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Interesting Read – The Adobe Creative Trends Report for 2025 https://
adobe.com/creativecloud/
business/teams/resources/whitepapers-ebooks/creative-trends-2025-guide-sdk.html
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#creative #trends #predictions #adobe @Adobe -
Claude Expected to Top AIDANBench Rankings Next Year
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appreciate it and watch out claude's coming for the top of aidanbench next year
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Five Years of AI: Key Technical Lessons in Language Models
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Reflecting back, these were the biggest technical lessons for me in AI in the past five years: 2020: you can cast any language task as sequence prediction and learn it via pretrain + finetune 2021: scaling to GPT-3 size enables doing arbitrary tasks specified via instructions
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Achieving Results Through Strategic Prompting Techniques
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This would be great, I think with some clever prompting this is achievable rn