– Learn somthing while doing it;
– Spending time on Kaggle should make aspiring #datascientists’ knowledge better;
– Stay more organized;
– You don’t have to go for a win;
– Use LLMs: they can help you answer some questions
DATA
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Kaggle Tips for Aspiring Data Scientists
By
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Kaggle Grandmaster Shares LLM Classification and Regression Mastery
By
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Maker @ph_singer
, ranked #1 Kaggle Grandmaster, presented on how to master classification and regression with #LLMs using insights from #Kaggle competitions. #H2OGenAIWorld -
MLOps versus LLMOps insights from DagWorks CEO
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Great insights on #MLOps vs #LLMOps by @stefkrawczyk
, CEO of @DagWorks
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AI Strategies and Customer Analytics Tips with ADT Director
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Helena Fopiano, Director of Customer Strategy & Analytics at @ADT
, and our very own Megan Kurka discuss #AI strategies and tips on customer #analytics. #H2OGenAIWorld -
Mastering Open Source h2oGPT with RAG and Agents
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Technical speaker session underway! Jon McKinney (
@pseudotensor
) and @ArnoCandel delve deep into Mastering Open Source #h2oGPT with Retrieval Augmented Generation (#RAG), web search, and agents. #H2OGenAIWorld -
Data Privacy Risks in AI Training Models and ChatGPT
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What if you type in sensitive information (e.g. personal conversations, contracts, salaries, …) and it gets to the training set, and then in the next iteration of ChatGPT model everyone in the world could ask questions about your data and would get a correct answer? I know
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ChatGPT automation reduces accounting data entry costs
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I will be invoiced $1,200 by an accountancy to do data entry on filing FBARs this year. My process for generating the data their filing involved a bit of ChatGPT and Excel, but since I don’t have an API integration with FinCEN paid them so I didn’t have to try to retype things.
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Fei-Fei Li’s Book on AI Potential and Dangers
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Fei-Fei Li has written a book. She was the first computer vision researcher to truly understand the power of big data and her work opened the floodgates for deep learning. She delivers a clear-eyed account of the awesome potential and danger of AI.
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Data Requirements for Fine-Tuning: Fact Check Needed
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Is this for real? How much data will be used for fine-tuning?
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Data Leakage Issues in AI Models: No Clear Evidence Found
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I'm not seeing any clear sign of data leakage issues for any of those models – are you?