From the #DatabricksCommunity: version control best practices for using Git in data science projects Discover tips on branching strategies, project structuring, and choosing between mono- and multi-repository structures: https://
dbricks.co/3BlUe7e
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Git Version Control Best Practices for Data Science Projects
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MongoDB Atlas Playwright Structured Outputs for Data
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Wondering how to pick the best possible Utah "dirty" soda? Not to worry. @anaiyaraisin, @MongoDB
, and @OpenAI have got you covered. (Hey @CloudNativeFdn
, your KubeCon folks may want to try this.) https://
mongodb.com/developer/prod
ucts/atlas/playwright-structured-outputs-atlas-search/
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AI Hardware Efficiency Revolution Transforms Data Management
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AI #efficiency revolution: Our #AtMemoryCompute slashes power consumption & boosts performance. Catch @ElectronicDesgn
's #InsideElectronics podcast episode with @AlixPaultre & @beach66 as they discuss the future of data management in #AI applications. -
Optimize Your Data Stack: Making Data Accessible to All
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Your data stack should be complicated and only accessible for highly technical users…sounds crazy, right? Unfortunately, that's the ugly truth for many organizations. Time to optimize your #DataStack! Watch Alteryx Virtual Summit on-demand now: https://
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API Integration Skills for Data Science and LLM Workflows
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One of the important skill for anyone entering in to #datascience is to learn how to interact with an API. While many #LLMs have capabilities to do critical tasks you just need to know how to integrate them in your workflow and evaluate.
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AI Training Data Regulation and Legal Compliance Issues
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They are subject to that regulation by virtue of having trained on people's data, so simply withholding the models/services is extortion.
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Privacy First: Rethinking Data Sharing With AI Companies
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When everything is recorded, you've gotta level up your privacy practices. Or, and hear me out, maybe not jump on board with sending all your data to the "AI" companies in the first place?
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Enterprise AI Implementation: Responsible Strategies for Business Transformation
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How To Embrace The Enterprise AI Era As #AI revolutionizes the business landscape, industry leaders share #insights on responsible AI #implementation and #datadriven #strategies. This article explores how enterprises can harness AI's power to #transform #operations, boost
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Programming Every Example: AI-Powered Data Refinement Framework
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We introduce Programming Every Example (ProX), a novel framework that treats data refinement as a programming task, enabling models to refine corpora by generating and executing fine-grained operations, such as string normalization, for each individual example at scale.
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Small Language Models Refine Pre-training Data Quality at Scale
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Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale https://
huggingface.co/papers/2409.17
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we demonstrate that even small language models, with as few as 0.3B parameters, can exhibit substantial data refining capabilities comparable to those of human experts.