ICYMI: Catch our webinar replay to learn about one of the hottest #SLMs on the block: Upstage Solar: ☀️ How we fine-tuned Solar for 30+ tasks like #translation, math and more ☀️ How Solar outperformed 15 top LLMs like #GPT4, #llama3, #phi3 pbase.ai/3W7s3zB

#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: predibase.com/free-trial.

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. 😵🥊

Meta'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: predibase.com/free-trial 🎉

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!

💸 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: pbase.ai/46kf56g

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

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 Read more: pbase.ai/4db8zkS

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: pbase.ai/4cgZl5l

What does it take to customize open-source #small language models? 🤔 How do they #perform? 🤔 🤔 How can you get started? 🤔 🤔 🤔 Arnav Garg answered those questions and more during his talk at the Arize AI Observe Conf 👨‍🏫 Check the replay: pbase.ai/4dAl0Xh

SLMs continue to lead the way for task-specific AI! Upstage fine-tuned Solar Mini to create "Solar-Proofread" for proofreading news articles. 1️⃣ Solar-Proofread: 79% accuracy 2️⃣ Fine-tuned GPT-4o mini: 71% 3️⃣ GPT-4o mini base model: 25% Try today: pbase.ai/4fCtejw

🔎 Want more visibility into your #LLM deployments and GPU statuses? 📈 The Predibase deployment health tab surfaces all of your key metrics in one place! View stats like queue duration, throughput, and the number of GPU replicas. Try it today for free: pbase.ai/3T4ofi3

📢When General Purpose Models Fail, Fine-Tune with Open Source Join us in SF for a panel and Q&A (& plenty of networking!) on how fine-tuning small language models #SLMs can outperform general #LLMs for task-specific use cases. See you there! pbase.ai/4dCQsEU

Missed our #LLMOps Summit, but want to catch all the goodness? Now you can! Here's a playlist with all of the talks: pbase.ai/47lSneN Last week 150 #AI leaders and ML engineers joined us in Downtown San Francisco to discuss the future of #GenAI with a focus on how to make

What should data + AI execs think about as they build their #GenAI stack? Here you go (courtesy of Robert Schwentker): 🚀 Evaluate Your AI #Infra - hint: small fine-tuned models can improve efficiency and reduce costs. 🤝 Invest in Open-Source - #opensource provides greater

Is a lack of data holding you back from training your next model? Learn how you can generate synthetic data from as few as 10 seed examples for fine-tuning an LLM that outperforms GPT-4. Watch this 90-second or try for yourself with our free trial: pbase.ai/47iRWlq