What does "#ChatGPT for Your Enterprise" really mean? Check out this new article on @BigDATAwireNews by @predibase cofounder @devvret_rishi to get the lowdown on the top real-world #LLM use cases that we're seeing at customers.
@predibase
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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 -
Predibase Partners with DeepLearning.AI for Llama-7b Fine-Tuning Workshop
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ICYMI: we partnered with http://
DeepLearning.AI to present a workshop on fine-tuning #Llama-7b with #opensource http://
Ludwig.ai. Over 2,000 attended live and now it's on-demand! Check it out! https://
youtube.com/watch?v=g68qlo
9Izf0
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Predibase Featured in Business Insider Top AI Startups List
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Thrilled to be featured on Business Insider's Top #AI Startup List! We're on a mission to make it easy for #engineers and data scientists to build powerful custom AI applications on scalable, reliable #infrastructure! Congrats @predibase team!
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New LLM Survey Report on Production Adoption and Customization Techniques
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Check out our new #LLM survey report to get a lowdown on the current state of LLMs in #production. Topics covered: LLM adoption Top use cases Key challenges when productionizing LLMs Techniques for customization incl. #finetuning and more! https://
pbase.ai/44jLmba. -
Ludwig AI 0.8: Open-source LLM framework with fine-tuning
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ICYMI: Last week we released @ludwig_ai 0.8—the first open-source, low-code framework optimized for efficiently building #custom #LLMs with your private data. Check out the webinar replay to see it in action including #finetuning: https://
pbase.ai/45jS7L8 -
Predibase Founder Discusses ML and GenAI Future with Data Experts
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From declarative #ML to understanding real potential for #GenAI, Predibase founder and creator of https://
pbase.ai/3P5b3Yo, @w4nderlus7
, sat down with @FrankDigsData and @AndyLeonard at @DataDrivenTv to talk about the future of ML. Check it out: https://
pbase.ai/459jU0V. -
LLMs for Tabular Data: When and Why to Use Them
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In today's #LLM world, where does #tabular data fit in? We have the answers! Check out our in-depth analysis in which we expand upon the #TabLLM paper to better understand when and why you should use LLMs for tabular data tasks. https://
pbase.ai/3E1Ujep -
Predibase and LangChain Partnership for Fine-tuning Open-Source LLMs
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Predibase + @langchain
: The easiest way to #finetune and productionize open-source #LLMs! Our partnership brings production-grade workflows and managed infrastructure to teams that want to build on state-of-the-art open-source #models. Learn more: https://
pbase.ai/3qxmAXd -
Efficient Fine-Tuning Llama 7B on Single GPU Workshop
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Upcoming #workshop w/ @DeepLearningAI_
: Efficiently Fine-Tune #Llama7b on a Single GPU! We'll discuss the challenges of #finetuning LLMs and show you how to tackle them. Topics include: parameter efficient tuning, deployment strategies, RAG & more. https://
eventbrite.com/e/efficient-fi
ne-tuning-for-llama-7b-on-a-single-gpu-tickets-696331224437?aff=Psm
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