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@storage_qi · Post #1237 · 12/23/2025, 08:54 AM
#UserInterview#UXResearch#ProductDevelopment#UserFeedback#DesignThinking https://heiskr.com/stories/interviewing-prospective-users
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Source channel @githubtrending · Post #14815 · Jun 10
#jupyter_notebook#chatglm#chatglm3#gemma_2b_it#glm_4#internlm2#llama3#llm#lora#minicpm#q_wen#qwen#qwen1_5#qwen2 This guide helps beginners set up and use open-source large language models (LLMs) on Linux or cloud platforms like AutoDL, with step-by-step instructions for environment setup, model deployment, and fine-tuning for models such as LLaMA, ChatGLM, and InternLM[2][4][5]. It covers everything from basic installation to advanced techniques like LoRA and distributed fine-tuning, and supports integration with tools like LangChain and online demo deployment. The main benefit is making powerful AI models accessible and easy to use for students, researchers, and anyone interested in experimenting with or customizing LLMs for their own projects[2][4][5]. https://github.com/datawhalechina/self-llm
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@venturevillagewall · Post #3446 · 12/19/2024, 01:01 PM
Insight on Pricing Strategy A Telegram bot for online store owners is launching with a subscription price of 320 rubles per month, which is lower than competitors to attract users. The creator struggled with pricing, consulting friends and family, leading to a divide in opinions. A seasoned relative advised that the price might be too low, suggesting a higher price to target a more serious audience. The discussion emphasizes that proper pricing should balance economic viability and marketing return, stating that high perceived value justifies higher pricing. Key takeaway: avoid relying on inexperienced opinions about business strategies. #Subscription#Ecommerce#PricingStrategy#MarketResearch#OnlineStore#BusinessAdvice#UserFeedback#ProductValue#Entrepreneur#Marketing#TelegramBot#ValuePricing#MarketCompetition#ConsumerInsights#Startup#BusinessModel