Level up your #GenAI game and snag a ticket for @_odsc West coming to the Bay Area in late October! And here's a session you won't want to miss The Future is #Finetuned: Training and Serving Task-Specific #LLMs by Arnav Garg, ML Team Lead at Predibase In this
@predibase
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Building Generative AI Apps with Agents and Fine-tuned Models
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Last Chance to Save Your Spot: Building #GenAI Apps with #Agents Join Darrel Cherry from @cwanalytics, and founders from @predibase and @rungalileo to learn how to customize, evaluate and deploy agentic AI systems built on small #finetuned open-source models (#SLMs)! Save
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South Korean Print Media Company Fine-Tunes SLM Outperforming GPT-4o-mini
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ICYMI: Check out our recent case study to learn how one of the largest print media companies in South Korea fine-tuned a #SLM from @Upstage on @predibase that is nearly 15% more accurate than fine-tuned #GPT-40-mini! https://
pbase.ai/3BEWhmT -
Building Agentic Systems at Scale with Small Language Models
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What does it take to build #agentic systems at scale? Don't miss this talk from Darrel Cherry at Clearwater Analytics to hear how they built a multi-agent #GenAI application with small language models (#SLMs) using Galileo and Predibase. Save your spot:
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Turbo LoRA: Fast Inference with Customized Models
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Last chance to save your spot Learn how to get the best of both worlds: super fast #inference + high quality models customized for your use case! Join us tomorrow, to learn about Turbo LoRA, a new approach to fine-tuning that increases model #throughput by 2-3x, lowers
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Small Language Models: The Future of On-Device and Cloud AI
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Exciting Times for Small Models (#SLMs) Check out this new article from our CEO, @devvret_rishi Rishi featured in @SolutionsReview
: https://
solutionsreview.com/the-rise-of-sm
all-language-models-the-future-of-on-device-and-cloud-ai/
… In the article, Dev discusses Apple’s game-changing approach to building GenAI applications with small models and -
Accelerate Inference Performance Using Prompt Prefix Caching
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10/ Speed up inference with Prompt Prefix Caching
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Track and Evaluate Fine-Tuning Jobs with Comet’s Opik
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12/ Track and evaluate fine-tuning jobs with Comet’s Opik