Kabir Brar @_ksbrar_
LLM engineering @predibase, Fluid Framework @microsoft, CS @caltech Late Meme Age Collapse Joined October 2017-
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The fastest open-source LLM #inference stack just landed. Check out our latest #benchmarks that leave vLLM and Fireworks in the dust. 🏎️💨 Our blog has all the juicy details—but here's the 30-sec version: ⚡ Up to 4× lower P50/P95 latency on the same #H100 & L40S GPUs 📈…
Are you at @nvidia #GTC2025? Then you must stop by booth #3011 for a fit check. We have the best swag (and the best #AI infra) 🎤 #WalkthisWay #RunRFT
Fine-tuning is great for adapting LLMs to specific tasks, but what if you don’t have much data? Starting today, you can use the world’s first end-to-end Reinforcement Fine-Tuning (RFT) Platform within @predibase and train models with zero data! We’ve enhanced GRPO, the…
Want AI that speaks your language? Fine-tuning is the spark you need. Essentially, you’re tailoring an off-the-shelf model to your precise goals. The catch? Historically, it took an avalanche of labeled data—thousands of samples—to train your ‘old dog’ to perform a brand-new…
Huge release from @predibase today -- the first end-to-end platform for Reinforcement Fine-Tuning Bringing the techniques that power DeepSeekR1 to any open source model and data
Huge release from @predibase today -- the first end-to-end platform for Reinforcement Fine-Tuning Bringing the techniques that power DeepSeekR1 to any open source model and data
Today we're thrilled to announce the first end-to-end platform for Reinforcement Fine-Tuning. With just a dozen labeled data points, you can outperform #OpenAI o1 and #DeepSeekR1 on complex tasks. Built on the #GRPO methodology that DeepSeek-R1 popularized, our platform delivers…
🚀 Reinforcement Fine-Tuning (RFT) is here—and it’s a game-changer. No massive datasets. No predefined labels. Just interactive learning with custom reward functions that optimize models in real time. 🔥 We even taught an LLM to rewriting code into specialized Triton kernels:…
⭐ We're excited to announce the launch of #SmallCon: A free virtual conference for #GenAI teams looking to build big with small models! ⭐ We're bringing together leading minds in AI from @Meta, @MistralAI, @salesforce and more for deep dive tech talks and panel discussions on…
@upstageai's Solar Mini–already the best SLM for fine-tuning–is about to get faster, driving huge savings in terms of GPU-hrs A general purpose speculator makes the base model 1.35x faster, and fine-tuning with Turbo LoRA yields a 2.2x bump! Try it today: pbase.ai/3Ara7sx
SLMs continue to lead the way for task-specific AI! @upstageai 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 to learn how to cut your #OpenAI spend by 50% or more with #SLMs, open-source and the latest techniques in LLM #finetuning? 😎 Great! Save your spot: pbase.ai/4eZFw54
With Snowflake and @predibase you can now train small task-specific LLMs that outperform commercial models at a fraction of the cost—all within your Data Cloud. By combining Predibase’s world-class LLM fine-tuning and inference capabilities with the Snowflake Data Cloud, teams…
Excited to offer serverless fine-tuning and serving for Llama 3 in @predibase ! 🦙 🔥 Blazing fast serverless inference for 8b and 70b 🖌️ Fine-tune in the UI or SDK via config. No code required! 🌳 Start prompting your fine-tune instantly with LoRAX, pay per token!
Learn how to build an optimized LLM inference system from the ground up in our new short course, Efficiently Serving LLMs, built in collaboration with @predibase and taught by @TravisAddair. Whether you're serving your own LLM or using a model hosting service, this course will…
🎉 Excited to share the launch of the @DeepLearningAI course Efficiently Serving #LLMs developed w/ @predibase CTO @TravisAddair 🎉 ✅ Implement a modern inference stack w/ caching, batching & #quantization ✅ Intro to #LoRA adapters ✅...and much more pbase.ai/3Pr0z5x
Excited to share my talk at Stanford MLSys Seminar! Learn how to transform AI demos into products with #finetuned #opensource #LLMs. From slow, expensive APIs to fast, inexpensive solutions with Ludwig and LoRAX from @predibase. Watch the full talk here: youtube.com/watch?v=Y4SpU_…
Lots of small, fine-tuned, specialized AI assistants.
Lots of small, fine-tuned, specialized AI assistants.
Introducing LoraLand: 25 Fine-Tuned Mistral-7B Models That Outperform GPT-4 🚀 Predibase has launched LoraLand 🌐, which consists of 25 fine-tuned Mistral-7B models surpassing GPT-4 in task-specific applications, ranging from sentiment detection to question answering. Predibase…
Check out our playground! And then come train some more loras with us :)
Check out our playground! And then come train some more loras with us :)
🚀 We fine-tuned 27 adapters using #Mistral-7B on Predibase for < $8.00 each and 25 of them rival or outperform #GPT4 📊 Check out our blog to see benchmarks, learn how we did it & get the link to download the #LLMs on @huggingface #TheFutureIsFineTuned pbase.ai/49Hrwtn
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