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Source channel @githubtrending · Post #15143 · Sep 14

#python#llms#mlx MLX LM is a Python tool that helps you run and fine-tune large language models (LLMs) efficiently on Apple Silicon Macs. It connects easily to thousands of models on Hugging Face, supports model quantization to save memory, and allows distributed training. You can generate text or chat with models via simple commands or Python code. It also offers features like prompt caching and memory optimization for handling long texts, making it faster and less resource-heavy. This means you can run powerful AI models locally on your Mac without needing expensive cloud services, saving cost and improving speed. https://github.com/ml-explore/mlx-lm

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Crypto M - Crypto News

@CryptoM · Post #64502 · 04/09/2026, 04:03 AM

🚀 Malaysia's February Industrial Output Growth Falls Short of Expectations Malaysia's industrial production in February recorded a year-on-year increase of 3.1%, according to Jin10. This growth rate was below analysts' expectations, which had projected a 5.2% rise. The lower-than-expected performance highlights potential challenges in the country's industrial sector. #Malaysia#industrialproduction#growth#economy#expectations#challenges#February

Crypto M - Crypto News

@CryptoM · Post #64488 · 04/09/2026, 02:45 AM

🚀 Crypto Industry Faces Severe Challenges Similar to 2019 The cryptocurrency sector is experiencing significant difficulties reminiscent of the extreme downturn in 2019. According to PANews, the industry is grappling with a severe lack of secondary market liquidity, a freeze in primary investment and financing activities, and a notable loss of talent. These challenges are contributing to a harsh environment for businesses and individuals involved in the crypto space. #CryptoIndustry#Challenges#2019Downturn#SecondaryMarketLiquidity#InvestmentFreeze#TalentLoss#CryptoBusinesses#CryptoSpace

Venture Village Wall 🦄

@venturevillagewall · Post #3436 · 12/19/2024, 07:00 AM

E-commerce Conversion Crisis E-commerce stores face a critical challenge with low conversion rates from social media traffic—about half of the general average. Despite this, social networks are a major traffic source, with 64% of users making purchases through them, accounting for a third of online sales. This gap presents significant revenue losses for stores that fail to convert this traffic, highlighting a potential market for platforms aimed at boosting conversions. Read more: Fastfounder #Ecommerce#Conversion#SocialMedia#Traffic#Sales#OnlineShopping#Startup#Market#Revenue#Challenges#Users#Platforms#Retail#Growth#Insights#Business#Tech#DigitalMarketing#Shopping#Income#Reports