Excited to announce new integrations with @SnowflakeDB today at #SnowflakeSummit to accelerate the end-to-end AI lifecycle and drive more value for our joint customers. https://
bit.ly/3NOYOyu
AI
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Snowflake integrations accelerate end-to-end AI lifecycle for customers
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Office Evolution: A Century of Workspace Design Trends
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How offices looked in each decade of the past hundred years https://
wapo.st/3NeRjRc via @washingtonpost #FutureofWork -
Evaluating MMLU Leaderboard: AI Model Benchmark Analysis
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and blog post is https://
huggingface.co/blog/evaluatin
g-mmlu-leaderboard
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LLaMa and Falcon LLM Evaluation Insights
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in case you missed it, @clefourrier @Thom_Wolf and team wrote a blogpost this weekend about the evaluations of LLaMa and Falcon it's a very clear and simple read that will help you build intuition of how those LLMs are evaluated Great read!
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Probabilistic AI Systems with Self-Assessment Capabilities
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Probabilistic AI that knows how well it’s working https://
bit.ly/46l1SKe #AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI Content Flood, Brand Impact, Stability Departures, Redpanda Funding
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Stories featured from @jjvincent (crap AI content flooding the web), the @NewsGuardRating team (brands unintentionally advertising against AI content), @rachelmetz (Stability AI departures), @ron_miller (streaming data startup Redpanda raises $100M)
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ML User Acquisition: Competing Strategies Among Major Companies
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Which strategy wins out in the end is still an open Q. And many companies that use one also use the other. But they are still both looking to acquire ML users with somewhat different philosophies (and DNA to go with it)
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MosaicML’s Infrastructure Enables Seamless MPT-30B Model Training
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One of the big selling points for MosaicML was its infrastructure that allows enables companies to train complex models without any major hiccups. It launched its model MPT-30B with the same infrastructure and chief scientist @jefrankle said faced it saw no issues in training.
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MosaicML Acquisition: $400M Valuation and VC Returns
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MosaicML, from what I understand, was looking to raise at a $400M valuation earlier this year. That led into conversations w/ DB and its acquisition. It's also an enormous outcome for its investors: Lux, Maverick, Future, Playground Global, and others.
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Databricks Acquires MosaicML to Lower ML Model Development Costs
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Databricks, meanwhile, wants to build tools to enable companies to build machine learning models from scratch and serve them. That end-to-end is reinforced by its acquisition of MosaicML, which aimed to bring down the cost of building custom ML models from scratch for companies.