Great post, looking forward to the next one on early stopping and full data retraining (haha, our hotly debated topic in the past )
DATA
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Progressive Builds Analytics Center of Excellence with AI
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Who's getting progressive about #analytics? @progressive
, of course. Join #AlterNext Virtual Summit to learn how they’re building an Analytics Center of Excellence and upskilling its workforce, and how you can, too. Register: https://
ow.ly/3pja50PB2pm #GenerativeAI #AI -
X Plans Biometric Data Collection for Users Sparks Privacy Concerns
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Ironic I'm using X to disperse this news (ppl still use the app, right?), but… I digress: X says it may start collecting your biometric data “for safety, security, and identification purposes.” The platform may also collect data on employment history. https://
cnbc.com/2023/09/01/mus
ks-x-to-collect-biometric-information-and-employment-data.html
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AI and Cloud Transform Formula 1 Race Strategy and Fan Engagement
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Dive into the world of #Formula1 with Rob Smedley, ex-race engineer for Ferrari & Williams. Data, AI, & cloud's impact on F1 Revolutionizing race strategy with connectivity @F1
's partnership with @awscloud Enhancing fan engagement -
Building Arabic Language Models: Data Collection and Training Strategy
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The key challenge of training any non-English model is data. To build a dataset large & rich enough for Arabic, Jais tapped into various open and curated sources totally 55B tokens. The model trained on 2 epochs of this data.
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NLP-Powered Search and Discovery Now Available for Enterprises
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Every enterprise I know needs this. Search is broken everywhere, especially keyword search. But NLP enabled search and discovery and summarization across all holdings in all languages is here now for those who want it:
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DataRobot Automates ML Lifecycle for Data Scientists
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“With DataRobot, we’ve already automated multiple steps in the ML lifecycle for hundreds of our models now… it creates efficiencies and saves time for my team of data scientists. Those automations really help and we believe that the partnership can extend to the #generativeAI
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API Providers Business Models and Enterprise Data Security Concerns
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And as OpenAI puts together its business model, so too with other API providers likely follow. The challenge, though, is that companies that are skittish about using APIs don't want additional controls and a promise that their companies won't use their data—they want it in a VPC.
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Efficient LLM Training QLoRA Llama 2 Resource Optimization
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Depends on your settings. But if you limit the context size to like 2048 (like in the NeurIPS competition) and use a microbatch size of 1 with gradient accumulation and qlora with llama 2 7B, that’s approx 20 GB RAM and shouldn’t take too long, maybe an hour.
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Using LLMs for Tabular Data Predictions with Predibase
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Interested in using #LLMs on #tabular data? Check out our latest #tutorial to see how you can use @predibase to leverage LLMs for tasks traditionally regarded as the domain of gradient-boosting models — #predictions on tabular data. https://
pbase.ai/3Pjv7q2