You can now scan your AI models to detect any of the following: • Data leakage
• Biases
• Performance issues
• Spurious correlations
• Overconfidence issues
• Underconfidence issues With only 4 lines of code! Check this open-source library: https://
github.com/Giskard-AI/gis
kard
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MACHINE LEARNING
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AI Model Scanning Tool Detects Data Leakage Biases Performance Issues
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10 Best AI Tools for Business in 2023
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10 Best #AI Tools for business in 2023 – get ahead of the curve with these cutting edge options via @ingliguori #artificialintelligence #machinelearning
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Fine-tuning Large Language Models: From Generalists to Specialists
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Good morning fellow AI enthusiast! This week's iteration focuses on large language models and how to make them from generalists to specialists, or, in other words: fine-tuning! Learn more in this week's iteration: https://
louisbouchard.substack.com/p/230d32a4-034
f-4d5d-8239-153ee81b7854
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IoT and Smart Tracking Technologies for Supply Chain Logistics
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The latest #IoT and smart tracking #technologies behind #SupplyChain logistics @insightdottech https://
insight.tech/retail/ai-powe
red-supply-chain-logistics-with-siena-analytics-2?utm_source=twitter&utm_medium=organic-social&utm_campaign=2023-q3-tdc&utm_content=sinnott
… #IntelPartner #IntelInnovation #AI #IoT #5G #ITinfluencer #CSPs #Telecom #DTW23 #MWC23 @Paula_Piccard @Hana_ElSayyed @enilev @Damien_CABADI @gvalan -
Data Storage Role in Accelerating Time-to-Insights
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The Role of Data Storage in Accelerating Time-to-Insights https://
x.com/i/broadcasts/1
jMJgmgynbmKL
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Considering Long-term Utility of Fine-tuned Models
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Agree it's good to use what's best right now, but my personal opinion (and glad to hear arguments for why you think predictions are unneeded) is that it's important to think about how long something you finetuned will be useful. Maybe it's easy to finetune something in a few
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Task-Specific Models vs Next Generation GPT Performance Risk
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So if I'm reading this correctly, leftmost seems justified to finetune your own LM, but middle seems at risk for next GPT to outperform the task-specific model?
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Examples of Fine-tuned Models in Recent Research
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Hm, well I mentioned PubMedGPT and GPT-3 finetuned on GMS8K in the post, does that count? If so, I'm sure I could find plenty more examples by skimming recent arxiv
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Combating Harmful Hype in Natural Language Processing
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Combating Harmful Hype in NLP with @asmelashteka and @pazunre https://
pml4dc.github.io/iclr2023/pdf/P
ML4DC_ICLR2023_39.pdf
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Implementing Llama from Scratch: A Practical Guide
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Llama from scratch (or how to implement a paper without crying) https://
bit.ly/3PmBVCi