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#languagemodels

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🚀 "SepLLM: The latest wizardry from the land of #buzzwords promises to make your Large Language Models faster by squishing a segment into a separator. 🤯 Brought to you by a team so large, they need four institutes to house their credentials. 🌍 Because why solve real problems when you can just rename parts of them?" 🤡
sepllm.github.io/ #SepLLM #LanguageModels #Innovation #TechNews #HackerNews #ngated

sepllm.github.ioSepLLM: Accelerate Large Language Models by Compressing One Segment into One SeparatorSOCIAL MEDIA DESCRIPTION TAG TAG

Learn how to fine-tune the DeepSeek-R1 model efficiently using Unsloth, even on slower GPUs. This guide explores installing libraries, loading models, applying LoRA adapters, preparing datasets, and more. Enhance your model with minimal resources and discover practical tips for optimal performance. #MachineLearning #DeepSeek #LanguageModels #AI #FineTuning #Unsloth #LLM #DataScience kdnuggets.com/how-to-fine-tune

Unlocking the Secrets of Language Models: Introducing LM-Polygraph for Uncertainty Estimation

In the rapidly evolving world of AI, the ability to gauge uncertainty in language models is becoming increasingly vital. Enter LM-Polygraph, a groundbreaking framework designed to empower developers b...

news.lavx.hu/article/unlocking