SLMs continue to lead the way for task-specific AI! @upstageai fine-tuned Solar Mini to create "Solar-Proofread" for proofreading news articles. Solar-Proofread: 79% accuracy Fine-tuned GPT-4o mini: 71% GPT-4o mini base model: 25% Try today: https://
pbase.ai/4fCtejw
@predibase
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Solar-Proofread SLM Fine-tuning Achieves 79% Accuracy
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Customizing Open-Source Small Language Models: Performance and Getting Started
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What does it take to customize open-source #small language models? How do they #perform? How can you get started? @grg_arnav answered those questions and more during his talk at the @arizeai Observe Conf Check the replay:
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Fine-tuned Small Language Models: Achieving GPT-4 Performance with Minimal Data
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Small language models (#SLMs) are great #Finetuned SLMs are better But what about the data? Sign-up for our webinar tomorrow to learn more: rivals #GPT4 with only #10 rows of data. Join our webinar tomorrow to learn more: https://
pbase.ai/4cgZl5l -
Turbo LoRA: Faster Fine-Tuning with Improved Inference Efficiency
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Get ready for Turbo #LoRA, our new approach to parameter-efficient #finetuning. You get: 2-3x faster text generation throughput vs. base models Task-specific response quality on par with LoRA Improved inference cost efficiency
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LLMOps Micro-Summit: Building Efficient GenAI Stacks
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Want to build big with small models like #Apple Then don't miss our #LLMOps Micro-Summit in SF (and streaming online) on Aug. 22nd. Leading AI researchers, engineers and founders will share what it takes to build a modern #GenAI stack that is fast, #efficient and built on
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Reduce OpenAI Costs: GPT-4 Quality at 90% Lower Infrastructure Expense
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Feeling the crushing weight of a skyrocketing #OpenAI bill? Don't settle. Get the best of both worlds: #GPT4 level accuracy + serving infra that is 90% less expensive! Join our upcoming webinar to learn more: https://
pbase.ai/46kf56g -
Llama-3.1-8b Fine-Tuned Outperforms GPT-4 and Other Models
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There's a new "best #SLM" in town! We fine-tuned Llama-3.1-8b-instruct on 25 tasks and it shows a huge improvement over #GPT-4, GPT-4o mini, fine-tuned #Phi-3, and fine-tuned #Mistral-7b. Small language models continue to set the standard for performance, cost, and privacy!
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Meta Llama 3.1 Now Available for Fine-tuning on Predibase
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Meta's new hotness #Llama3.1 is out and ready for #finetuning and #serving on Predibase 🔥
— Predibase by Rubrik (@predibase) 23 juillet 2024
Try it for free! Here's $25 in credits to #customize Llama-3.1 or any of your favorite #opensource models for your use case: https://t.co/Rq8fsQwaZl 🎉 pic.twitter.com/tHCSLtx8LEMeta's new hotness #Llama3.1 is out and ready for #finetuning and #serving on Predibase Try it for free! Here's $25 in credits to #customize Llama-3.1 or any of your favorite #opensource models for your use case: https://
predibase.com/free-trial -
Fine-Tuned Open-Source Models Outperform GPT-4o-mini on SLM Leaderboard
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We updated our fine-tuned #SLM leaderboard to include #GPT4o-mini. So, who's the champ? Let's hear it for open-source and #llama3! Our fine-tuned open-source models dominated—outperforming #GPT4 and GPT-4o-mini on 80% of tasks.
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Gemma2 and Qwen2 Now Available on Predibase Platform
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#Gemma2 and #Qwen2 now on Predibase! 🚀
— Predibase by Rubrik (@predibase) 18 juillet 2024
Fine-tune and serve all of your favorite #SLMs with a fast, easy-to-use and cost efficient platform!
Get started with $25 in free #credits: https://t.co/Rq8fsQwaZl. pic.twitter.com/AhWdhXxwGA#Gemma2 and #Qwen2 now on Predibase! Fine-tune and serve all of your favorite #SLMs with a fast, easy-to-use and cost efficient platform! Get started with $25 in free #credits: https://
predibase.com/free-trial.