Which #opensource LLM provides best results when fine-tuned? We #finetuned 700+ #LLMs so you don't have to! Join our webinar to learn: Which OSS model reigns supreme? How to get GPT4 performance w/ OSS LLMs at a fraction of the cost and more! https://
pbase.ai/3PLRTGT
@predibase
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Best Open Source LLM for Fine-tuning: Results from 700+ Models
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April Fine-Tuned Newsletter: LLM Serving Course and Updates
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This month's Fine-Tuned newsletter showcases our new @deeplearningai short course "Efficiently Serving LLMs," recent seminars, webinars, and blog posts, and more!
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Predibase Accelerates Fine-tuning Speed and Adds Free A100 Access
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New in Predibase! Fine-tuning is now up to 5x faster! All users can fine-tune with A100s at no extra cost View and manage deployments in the UI
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Predibase Releases New Features Including A100 Training and Mistral Support
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Exciting News: we shipped a brand new #release last week that’s packed with awesome features and improvements: All training jobs run on #A100's by default Mistral-7b-instruct-v0.2 now live for inference + #finetuning New #deployments UI And more:
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Predibase Recognized Among 100 Most Promising AI Companies 2024
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Woo-hoo! Thank you @CBinsights for recognizing @predibase on the 100 Most Promising Private #AI Companies of 2024. Full list: https://
pbase.ai/4anEa1p. Congrats @MistralAI @huggingface @wandb @runwayml @GroqInc @databricks @perplexity_ai @midjourney & all winners! -
Manage LLM Deployments with Predibase New Deployments Page
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View and manage your dedicated and #serverless #LLM deployments in one place with our brand new Deployments page. Quickly spin up new #GPUs or simply use our serverless #finetuned endpoints for per-token pricing. https://t.co/AZautnDFGu pic.twitter.com/rKmWNzPhJu
— Predibase by Rubrik (@predibase) 1 avril 2024View and manage your dedicated and #serverless #LLM deployments in one place with our brand new Deployments page. Quickly spin up new #GPUs or simply use our serverless #finetuned endpoints for per-token pricing. https://
pbase.ai/3TGTijv -
Fine-tune and Serve Open-Source LLMs Efficiently
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Have you ever had these thoughts: Open-source models can't outperform #GPT4 Fine-tuning LLMs is hard Fine-tuned models are costly to serve Well, they're all wrong. See how easy it is to #efficiently fine-tune and serve #LLMs with predibase:
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LLM Developers Network Event in SF Bay Area
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Network and learn from #LLM developers working on the most popular #opensource projects—all while taking in a view of the SF Bay. Click the link to see the talks and save your spot. Speakers include: @predibase @llama_index @guardrails_ai @tryolabs
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pbase.ai/49etot4 -
LoRAX v0.9 Released with Memory Manager and Qwen 2 Support
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NEW RELEASE: #LoRAX v0.9 is out! This release has the most contributions to date. Thank you to our growing community of contributors!! What's new: Overhauled #LoRA memory manager New model architecture: Qwen 2 Optional max_new_tokens https://
pbase.ai/3VA2nNn
