What does it take to build the #fastest, most #efficient fine-tuning stack? We got answers! Join our deep dive to learn: Latest fine-tuning #optimization techniques Metric driven analysis of each optimization How to get started on your own https://
pbase.ai/3Wq2ATG
@predibase
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Building the Fastest and Most Efficient Fine-Tuning Stack
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Workshop Replay: Fine-tune and Serve LLMs Rivaling GPT-4
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ICYMI: Earlier this week, we held a virtual hands-on #workshop for 250+ developers on how to efficiently #finetune and serve your own LLMs that rival #GPT4. Here's the replay for anyone interesting in trying it out:
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Fine-tune Llama3 for Automated Customer Service Classification
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New Tutorial: Fine-tune #Llama3 to Automate Customer Service Learn how you to efficiently #finetune Meta Llama-3 to automatically classify customer support issues and generate a response. Notebook included!
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Predibase Launches 10x Faster Fine-tuning Stack with Llama3 Support
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Announcement: New Improved #Finetuning Stack—10x Faster Training! Here are the highlights: New #training stack up to 10x faster + better model quality #Llama3 available for inference + fine-tuning New Python #SDK: More consistent and robust
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Fine-tuning Primer: Guide to Timing, Budget, Data, and Tools
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Check out this informative primer on all things #finetuning from Daniel Porras Reyes at @flybridge
. Topics: When's the right time to fine-tune Budget / resource considerations Prepping data for fine-tuning Choosing the right tool Check it out: https://
pbase.ai/3JxpMI7 -
Serverless Fine-tuning and Serving for Llama3 on Predibase
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Check out #serverless fine-tuning and serving for #Llama3 on @Predibase with our free trial! 🦙
— Predibase by Rubrik (@predibase) 18 avril 2024
🔥 Blazing fast serverless inference – #8b & #70b variants
🖌️ #Finetune in the UI or SDK via config
🌳 Start prompting your fine-tune instantly with #LoRAXhttps://t.co/L3Tv8r07P1 pic.twitter.com/GAOW88SfZzCheck out #serverless fine-tuning and serving for #Llama3 on @Predibase with our free trial! Blazing fast serverless inference – #8b & #70b variants #Finetune in the UI or SDK via config Start prompting your fine-tune instantly with #LoRAX https://
pbase.ai/3VZE37X -
Serverless Fine-tuning and Serving for Llama3 on Predibase
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Check out #serverless fine-tuning and serving for #Llama3 on @Predibase with our free trial! 🦙
— Predibase by Rubrik (@predibase) 18 avril 2024
🔥 Blazing fast serverless inference – #8b & #70b variants
🖌️ #Finetune in the UI or SDK via config
🌳 Start prompting your fine-tune instantly with #LoRAXhttps://t.co/Rq8fsQwaZl pic.twitter.com/CYON9Wx25ZCheck out #serverless fine-tuning and serving for #Llama3 on @Predibase with our free trial! Blazing fast serverless inference – #8b & #70b variants #Finetune in the UI or SDK via config Start prompting your fine-tune instantly with #LoRAX https://
predibase.com/free-trial -
Free Workshop: Fine-tune LLMs with Ludwig and LoRAX
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Ready to fine-tune and serve your own #LLM that outperforms #GPT4 — for free? Join our virtual #workshop to get hands on with open-source #Ludwig + #LoRAX and learn how to fine-tune and serve #LoRA adapters for customer support use cases! https://
pbase.ai/49DJvk2 -
Fine-tuning Open Source LLMs to Outperform GPT-4
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There's a common belief that #opensource LLMs aren't as performant as #GPT4. Well, oftentimes they're not… unless you #finetune! Join our upcoming virtual workshop to learn how you can fine-tune OSS #LLMs to outperform GPT-4: https://
pbase.ai/3xAPXuV -
Simplified Management of Serverless and Dedicated LLM Deployments
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ICYI: Managing #serverelss and dedicated #LLM deployments has never been easier! 🚀
— Predibase by Rubrik (@predibase) 10 avril 2024
😎 see all #deployments and status in one place
🆕 create new dedicated deployments with just a few clicks
🛠️ select the right #GPU for the job and customize autoscalinghttps://t.co/W9hCTKaySr pic.twitter.com/zImeI45nNFICYI: Managing #serverelss and dedicated #LLM deployments has never been easier! see all #deployments and status in one place create new dedicated deployments with just a few clicks select the right #GPU for the job and customize autoscaling https://
pbase.ai/449UUXT