Now training your 7B parameter #Llama2 model in float32 with 8 GPUs requires 7 * 4 * 8 = 224 GiB of host memory just to load it onto the GPUs.
@predibase
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Main Problem Teams Face When Fine-tuning LLMs: Out of Memory
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What’s the #1 problem teams encounter when #finetuning an #LLM? The dreaded "Out of memory" error. No, not a CUDA OOM, just a regular host out of memory error.
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Fine-tuning Llama-2 with Managed Autoscaling LLM Infrastructure
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There are a lot of ways to #finetune LLaMa-2, but how many of these "solutions" address the #infra challenge? Check out our latest tutorial to learn how to fine-tune #Llama2 on top of fully managed, autoscaling #LLM infra right inside your VPC.
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LLMs Transform Machine Learning: Reducing Engineering and Labeling Costs
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#LLMs address many of the flaws of #ML: ML before: heavy feature #engineering, hyperparameter search, costly #labeling. ML w/ LLMs: easy data processing, zero-shot/few-shot predictions w/ good performance, add domain data to prompt. Watch the video: https://
pbase.ai/3Oe2VDw -
New ML Tutorial Series: Practical Guide to Overcoming Overfitting
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Check out our new series of #ML tutorials—the first one “Overcoming #Overfitting”—to get practical advice and best practices for dealing with the top challenges facing #AI teams. https://
pbase.ai/3qbPSdH -
10 Essential Things to Know About Large Language Models
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ICYMI: 10 things you need to know about #LLMs! Watch the video here: https://
pbase.ai/3OvgO1l Check out all of our previous episodes of ML Real Talk on Youtube: https://
pbase.ai/44WXzUp. -

Fine-tuned Open-Source LLMs Integration with LangChain and Predibase
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Use #finetuned open-source #LLMs with @langchain and @Predibase Excited to share our new integration which makes it easier than ever before to deploy, customize and chain LLMs on your own #data! https://
python.langchain.com/docs/integrati
ons/llms/predibase
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Train Llama2 on Custom Data with Just 10 Lines YAML
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What does it take to train #Llama2 on your own data? Only 10 lines of YAML with
@ludwig_ai
. These new capabilities are part of our upcoming v0.8 release. Get a sneak peek and #finetune LLaMa2 with this free colab notebook: https://
colab.research.google.com/drive/1c3AO8l_
H6V_x37RwQ8V7M6A-RmcBf2tG?usp=sharing
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AI Startup Life: Engineering Leadership Journey at Predibase
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Want a peek into life at an #AI startup? @Predibase eng leader,
@brightsparc chatted w/ Startup Life about:
• Going from Amazon to AI #Startup,
• Being at the forefront of innovations in #ML,
• Fostering a culture of #Innovation, • and more! https://
startup-life-unscripted.beehiiv.com/p/startup-life
-unscripted-7-julian-bright-platform-engineer-manager-predibase
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Llama 2 Fine-tuning: Beyond Code Snippets to Infrastructure
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#Llama2 is bigger, better & ready for use, but don't expect stellar results without #finetuning. There are a lot of posts going around that show fine-tuning in a few lines of #code, but none address the #infra challenge. We do! Tutorial and free trial: