Stop overpaying for #GPU hours. Try our #serverless endpoints for fine-tuned #LLMs! – Only pay for compute you use, not underutilized or idle GPUs.
– No #infra to manage and rightsize
– Deploy and prompt instantly
– Powered by open-source #LoRAX
@predibase
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Predibase Serverless Endpoints for Fine-Tuned LLMs
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Fine-tuning Code Llama 70B for Specific Coding Tasks
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#CodeLlama-70B is the latest and greatest in open-source #codegen models. But, what if you want to #finetune it for a specific coding task? To help you get started, here's a step-by-step #tutorial w/ sample data and #code. Happy fine-tuning!
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Major Tech Companies Join AI Alliance for Open Innovation
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Excited to share that we've joined @IBM @Meta @Snowflake @Databricks and 50+ organizations to support the #AI Alliance: a community of leading organizations across industry, research and gov coming together to support #open innovation in AI. https://
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AI Ethics and Open-Source LLM Frameworks Future Trends
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From the evolving world of #AI ethics to the explosion of open-source #LLM frameworks, check out the latest episode of the #DataDriven Podcast w/ @devvret_rishi & @FrankDigsData to hear what's in store for the future. https://
pbase.ai/3Uwhg2G -
Guide complet : fine-tuner vos LLMs efficacement
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Ready to #finetune but don't know where to start? We got you covered! Answers to your 4 biggest questions: When to fine-tune your #LLMs How to prepare your data What does it take to manage #infra How to reliably + #efficiently fine-tune
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Predibase AI and LLM Predictions for 2024
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ICYMI: Here are our AI and #LLM predictions for 2024! Sneak Peek: small is the new big, #opensource is the future, synthetic data for everyone, #frankenmodels, and more!
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LoRAX v0.7 Release: Runtime LoRA Merging Per Request
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Announcing the Release of #LoRAX v0.7: Merge #LoRAs at runtime per request! Use cases: Mix LoRAs to improve response (Mixture of LoRAs) No need to pick the right #LoRA by hand Combine with a ranker and merge top-k LoRAs https://
pbase.ai/42tbst0 -
Ludwig Celebrates 10k Milestone with LLM Hackathon Winners
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Congrats to our #LLM Hackathon Winners! To celebrate Ludwig's 10k we ran a mini virtual hackathon. Projects include: Automating data quality checks in Python #QA for Indian Tax Code #Classification for Customer Service
and more! https://
pbase.ai/3HGSQMo -
Fine-Tuned LLMs: Zephyr, LoRAX, Ludwig Updates and More
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Jan edition of our Fine-Tuned Newsletter: Fine-Tune #Zephyr for Cust Support @caveminds Podcast: Smaller Cheaper #Finetuned #LLMs Coding for non-coders OSS: Ludwig v0.9.3 / #LoRAX v0.6 Product: #Prompting fine-tuned #endpoints
…and more! https://
pbase.ai/3OprApB -
Top AI Predictions for 2024: Small Models, Fine-tuning, New Architectures
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If 2023 was the year of the #LLM, what's in store for 2024? From the coming wave of small language models to the future of #finetuning and new LLM architectures (e.g. #MoE), here are our top #AI predictions for the coming year!