ICYMI: We fine-tuned 100s of #LLMs incl. LLama2, Zephyr, #Mistral, Phi and #Gemma — many with performance that rivals #GPT4! We took all of our findings and presented them in a deep dive discussion yesterday! Catch the replay for all of the details: https://
pbase.ai/3VuuLAE
@predibase
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Fine-tuning Hundreds of LLMs with GPT-4 Rival Performance
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Ludwig Tutorial: Fine-tuning Mistral for Customer Support Intent Classification
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New #LLM tutorial from the @ludwig_ai community: Streamlining Customer Support! Check out this blog from Ludwig hackathon winners, Divyansh Mishra, Abhishek Kaushik and Ankit Patil to hear how they fine-tuned #Mistral for intent #classification. https://
pbase.ai/43ArJgg -
Bay Area Event: Open-Source LLM Frameworks and Production Apps
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Bay Area Friends: Join us Apr 4th to learn about the lastest open-source #LLM frameworks and tips for building #production-grade apps from the leaders at @predibase @llama_index
, @tryolabs and @guardrails_ai
! Save your spot and invite your friends! https://
pbase.ai/4am4ys9 -
Fine-tuned Open-Source LLMs Outperform GPT-3.5 and GPT-4
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If you've ever asked "does fine-tuning really work?" then you should definitely tune in to our webinar on Thursday to see how #finetuned open-source #LLMs outperformed GPT-3.5 and GPT-4. https://
pbase.ai/3VkGqlt -
DeepLearningAI Course on Efficiently Serving LLMs Launched
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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
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Fine-tuning LLMs Workshop at MLOpsWorld SF
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Excited to join @MLOpsWorld SF to lead a workshop on Fine-tuning Your Own #LLMs that Rival #GPT4. Join us to learn the benefits, use cases, and techniques for fine-tuning LLMs and get hands-on with popular open-source frameworks #Ludwig and #LoRAX! https://
pbase.ai/3IANSRU -
Fine-tuning 10 Open-Source LLMs Across 33 Datasets
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We fine-tuned 10 open-source #LLMs (#Gemma-7b, #Mistral-7b, #Phi-2 & more) across 33 datasets and evaluated their task-specific performance! Join our webinar to deep dive on how they each performed and how we did it quickly, affordably & at scale. https://
pbase.ai/49VOu0y -
Fine-tuning Llama2 for FAQ-based Chatbot on Indian Tax Law
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Question/Answering systems are a cornerstone use case for #LLMs. Check out this short tutorial from Ludwig hackathon winner, Yogesh Haribhau Kulkarni, to hear how he fine-tuned #Llama2 on FAQ data for Indian tax law to create a #chatbot. https://
pbase.ai/4adtmSW -
Fine-tuning 25+ Mistral Adapters Rivaling GPT-4 Performance
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Last month we fine-tuned 25+ #Mistral adapters that rival #GPT4. Since then, we've fine-tuned #Gemma, #Llama, #Zephyr and other LLMs for the same tasks. Join our upcoming webinar to learn which #LLMs performed the best and how to fine-tune your own LLMs! https://
pbase.ai/49OBv0y -
Master LLM Fine-Tuning: A Comprehensive Guide to Benefits and Implementation
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Ready to master #LLM fine-tuning? Check out our definitive guide: Benefits of #FineTuning and when to do it How to prepare your #data set What it takes to manage training + serving #infra How to reliably and #efficiently fine-tune