Predibase

Predibase is the fastest, most efficient way to fine-tune and serve open-source #LLMs. 🔥 As the first platform designed to help #engineers productionize open-source AI, Predibase makes it easy to customize LLMs on scalable managed infra in your cloud—at a fraction of the cost of commercial LLMs. Don't believe us? Try it out for free! Fine-tune and serve Llama-2 with our two week free trial: https://pbase.ai/3SnGq2z

Ready to level up your LLM strategy? 📈 Predibase ML team lead Arnav Garg is joining a chat with experts from Upstage and MindsDB next week! We're diving into why task-specific small language models (#SLM) are beating out one-size-fits-all solutions for real-world business applications. Learn how tailor-made, fine-tuned AI can tackle your specific challenges better than general models. Perfect for anyone looking to get more from their AI investments! 📆 Thursday, August 29th 🕒 6:00 - 9:00 pm 📍 MindsDB SF AI Collective 🔗 https://lnkd.in/gVSDj3WT Curious about the future of AI in business? This is your chance to get the inside scoop. See you there! #LLM #genai #futureofai #aimeetups

📣 ICYMI: Yesterday, we showcased a groundbreaking technique to overcome the #1 hurdle when fine-tuning #small models: not having the requisite #data! How did we solve this problem? 🤔 By leveraging larger #LLMs like GPT-4 and #Llama3.1-405b to generate synthetic data! The best part—it only requires 10 rows of real data! 🚀 Catch the replay to learn how you can achieve #GPT4-level results with as few as 10 real-world examples and fine-tuning a SLM. Watch it now: https://lnkd.in/g8x2m6bc

Last chance to register for our #LLMOps Summit on Thursday to hear from AI leaders on what it takes to build the #GenAI stack of the future! (Hint: it's all about #small models!) 💡 Save your spot: ▶ Live in SF: https://lnkd.in/gTAp9iSt ▶ Streaming online: https://lnkd.in/grr94zwP

🚀 AWS now supports L40S GPUs in EC2. 🚀 It's hard to overstate how much of a game changer this is for organizations looking to adopt Small Language Models (SLMs) in their VPCs. With FP8, L40S can provide higher throughput and lower latency than A100s, and can be rented per hour for a fraction of the cost: $1.86 / hour for 1x L40S vs $32.77 / hour for 8x A100s (EC2 doesn't offer single A100s, so you need to rent 8 at a time -- if you can even find any capacity). If you're looking to migrate off OpenAI onto SLMs in your VPC, come talk to us at Predibase. We deploy our batteries-included platform for fine-tuning and serving SLMs securely into your VPC -- no data ever leaves your environment. Keep your data and models in your private cloud, and let us handle the SLA. Check out the full AWS announcement here: https://lnkd.in/grKYXu9S And get started with Predibase for free here: https://lnkd.in/ghiV48Tw

Upstage's Solar Mini–already the best SLM on Predibase for fine-tuning–is about to get faster, driving huge cost savings in terms of GPU-hrs. We're introducing a general purpose speculator that makes the base model 1.35x faster. Fine-tuning Solar Mini with Turbo LoRA will give a 2.2x speed bump! Try it today for free: https://pbase.ai/3yDY2zP

Our synthetic data webinar is next week! Here's a sneak peek: With only 10 rows of real data, our adapter trained on synthetic data outperforms GPT-4o in a grounded commonsense inference evaluation. Join our webinar on Tuesday to see more: https://pbase.ai/synthetic #slm #llm #openai #syntheticdata #synthdata

Apple continues to make waves in #GenAI as more details of #AppleIntelligence emerge, including: 📲 Call and email summarizations ✅ Checklists from voice memos 🔎 Proofreading and content suggestions ❗ Email and notification prioritization 📷 Improved photo search with natural language The Verge covers this in their recent preview of #iOS 18: https://lnkd.in/d-K45eFt. The magic of Apple Intelligence is that all of these capabilities are powered by many fine-tuned small models (#SLMs). Want to learn more: ▶ Read our blog on #Apple's GenAI architecture: https://lnkd.in/gcASQjsM ▶ Save your spot for our upcoming event: https://lnkd.in/gTAp9iSt

#Small Language Models continue to lead the way for task-specific AI applications! Upstage recently fine-tuned Solar Mini on Predibase to create "Solar-Proofread" for proofreading news articles. The results are impressive: 1️⃣ Solar-Proofread: 79% accuracy 2️⃣ Fine-tuned GPT-4o mini: 71% accuracy 3️⃣ GPT-4o mini base model: 25% accuracy Both #finetuned models used the same dataset of only a couple thousand sample articles, manually proofread and corrected. Solar-Proofread not only achieves higher accuracy but is also more cost-effective than #GPT4o mini. Experience the power of task-specific AI – try fine-tuning Solar-Mini today, exclusively on Predibase! https://pbase.ai/3SHwro9

🌉 Last call San Francisco: come see Piero Molino and other leading minds in #GenAI talk about the latest innovations at the Accelerating AI event tonight! https://lu.ma/921lskck