Companies typically use only 1-10% of the data they collect. The rest? Stashed away, incurring costs and risks without yielding returns. Imagine safely unlocking that remaining 90%. It'd be like moving from the parable of a few blind men trying to describe an elephant by touch, to an entire organization with clear vision of the whole. If teams within an organization had this type of shared access and knowledge, it would revolutionize how insights are surfaced and products are built. This is the essence of 'democratizing' data. The path to this paradigm shift? Synthesizing data -- creating safe versions of the 'crown jewels' that are private, secure, and accurate. #SyntheticData #Privacy
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Gretel Navigator's synthetic data generation outperformed OpenAI's GPT-4 by 25.6%, surpassed Llama3-70b by 48.1%, and exceeded human expert-curated data by 73.6%. 🤩 Here's how to use Navigator to create high-quality synthetic data for fine-tuning LLMs. https://lnkd.in/eg2tSFes
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In our latest research, Gretel Navigator has demonstrated its strength in generating synthetic question-answer pairs. Compared to other state-of-the-art models, it outperforms: GPT-4 by 25.6% GPT-3.5-turbo by 97.3% Llama3-70b by 48.1% Moreover, Gretel Navigator surpasses human-expert created data 73.6% of the time. This capability is crucial for creating or augmenting training datasets for various LLM applications. Dive into the details of how to create high-quality synthetic data for fine-tuning LLMs: https://lnkd.in/eg2tSFes #SyntheticData #AI #MachineLearning #DataQuality #LLMs
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SA Health Pioneers State-Wide Synthetic Data Initiatives for Safe Healthcare Data: Learn how South Australia Health is leading the way with synthetic data.
Gretel Customer Case Study: South Australia Health
info.gretel.ai
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“The energy industry exhibits a 63% readiness level to adopt generative AI — ranked third, behind finance and high-tech. But this transition to adopting generative AI isn’t without challenges, and the biggest is lack of usable data. Field equipment in rugged environments generates data with a high noise level that requires filtering. Incomplete data sets due to unreliable communication should be either dropped or made complete using synthetic data generated algorithmically.” https://lnkd.in/e5x8namD #Energy #AI #InfoSys
How Digital Technologies will Decarbonize the Energy Sector
infosys.com
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Smaller language models built with synthetic data are where it's at. Glad others are catching on. "GenAI-based synthetic data is becoming the unsung hero of AI development. For example, we have synthetic data to thank for Microsoft’s Phi-1 base model, which was trained on a curated “textbook-quality” synthetic dataset rather than exclusively on traditional web data. This approach appears to positively impact the mitigation of toxic and biased content generation. These smaller models will continue to play a crucial role in scaling genAI implementation for industry-specific use cases." Read more: https://lnkd.in/gzpJQZ8W #SLM #SyntheticData #DataPrivacy
Synthetic Data: Meet The Unsung Catalyst In AI Acceleration
https://www.forrester.com
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⚒ A Synthetic Data Deep Dive with Gretel Experts 🗓 Join us on Tuesday, July 30th at 12 PM ET for a 60-min livestream featuring the latest in Gretel product news, applied privacy research, and synthetic data market developments. Topics will include: ✨ Navigator: our new agent-based compound AI system for tabular generation ✨ Open Datasets: Including the world’s largest text-to-SQL dataset ✨ Navigator Fine Tuning: Customizing expert, frontier language models ✨ Transform v2: Flexible de-identification and rule-based transformations ✨ Workflows: Operationalizing synthetic data across the enterprise 🔥 Live demos + Q&A with our applied scientists, engineers, and developers Don’t miss this opportunity to learn about the latest in generating high quality synthetic data that is private by design. Reserve your spot. 👇 #syntheticdata, #privacy, #security, #opendata, #genAI.
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Check out our new guide and open-source code library to integrate Gretel's synthetic data capabilities with major MLOps platforms. 🏗️ Blog: https://lnkd.in/dZrZPtcw #SyntheticData #AI #MLOps
Introducing Gretel MLOps
gretel.ai
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Enterprise data is a valuable asset but poses privacy risks if mishandled, impacting critical data-driven initiatives. Watch the recording of our developer workshop on using #AWS and #Gretel to create privacy-preserving synthetic data. Learn how to address data privacy and access challenges, walk through an end-to-end workflow, and explore industry trends and novel applications of synthetic data. Watch now: https://lnkd.in/ecdX3KwW
Synthetic Data, Real Privacy
info.gretel.ai
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In the spirit of open learning and public collaboration, Gretel is releasing high-quality synthetic datasets in the wild. Here's our multilingual synthetic financial dataset, perfect for training NER models to detect and protect PII. We'd love your feedback on expanding Gretel's #OpenData library: ⚒️ What common data quality bottlenecks can we address? 📈 Which open datasets could we enhance? https://lnkd.in/eQrAcTGQ #SyntheticData #CollaborativeAI #Privacy
Gretel Unlocks PII Detection with Synthetic Financial Document Dataset
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Former data scientist, now Account Executive; helping enterprises build with synthetic data. 313 to 973 to 909 to 310 to 503.
1wI recently visited Paris for the first time and we went to Versailles. There we saw some actual Crown Jewels. It's a weird place. And that is partly why I like this as a metaphor for data within institutions: the stuff is valuable/dangerous and so needs to be secured, but it's value comes from being able to see it. Locking the crown jewels away returns little, and that vault isn't free. Can synthetic data "square the circle" by allowing you to keep the Crown Jewels in the vault, while displaying a safe replica on the museum floor? As long as the "signal" is preserved in the replica, then yes.