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:
ENTERPRISE AI
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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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Microsoft GPT-4 Medical Notes Automation Faces Doctor Skepticism
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Microsoft Wants To Automate Medical Notes With GPT-4— But Doctors Need Convincing
#AI #AIio #BigData #ML #NLU #Futureofwork @DeepLearn007 @albertogaruccio @alvinfoo @andi_staub @andy_lucerne @antgrasso @BernardMarr @enricomolinari http://
ow.ly/U4eE30swTum -
OpenAI Enterprise Tier: Business Model Strategy Emerges
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With the release of fine-tuning for GPT 3.5-Turbo, and the announcement of a new Enterprise tier, its business model is starting to take shape. While they're positioning it around control/privacy/etc, this is really about rate limiting and reliability.
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API Providers Race to Deploy Generative AI in Private Clouds
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Now we'll have to see if any of those API providers make a move to drop their product into something that works in a VPC. Until then, it looks like we're starting to see how the "business" of the current iteration of generative AI will play out.
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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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OpenAI GPT-4 API Rate Limiting Issues Impact Enterprise Performance
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OpenAI is trying to pitch some controls and privacy additions for enterprise companies, but from companies I talk to, this is about performance and reliability. he GPT-4 API is really powerful, but users also end up running into issues with rate limiting and have to drop to 3.5T.
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ChatGPT Pricing Tiers: Free to Enterprise Strategy
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A "free" version that employees can use internally (w/ IT's blessing or not) by copy/pasting into the interface. A "base" version with the 3.5-Turbo API. A "plus" version with the fine-tuned 3.5-Turbo API. A "premium" version of the base GPT-4 API. And finally an enterprise tier.
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OpenAI’s Tiered Pricing Strategy Mirrors Web 2 Model
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OpenAI's launch of a fine-tuned GPT 3.5-Turbo version and an enterprise tier essentially creates a track of increasing performance for its APIs with an up-to-the-right pricing model. If it looks familiar, it should: it's pretty much the route that companies took in the Web 2 era.
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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