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@dianjingtiyuxieyi · Post #5435 · 08/29/2025, 10:49 AM
CSGO-BLAST秋季公开赛-预选赛 #ECS 对战 FNC （BO3） 2025-08-29 18:00 局2 单局获胜： ECS 回合让分： ECS+2.5 回合大小： 大于21.5 （重心） 回合单双： 双
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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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电竞-体育-LPL LCK俱乐部消息-中文频道推荐群
@dianjingtiyuxieyi · Post #5432 · 08/29/2025, 09:37 AM
CSGO-BLAST秋季公开赛-预选赛 #ECS 对战 FNC （BO3） 2025-08-29 18:00 全局获胜：ECS 地图比分：2-1 地图让分：ECS+1.5 地图大小：大于2.5 (重心） CSGO-BLAST秋季公开赛-预选赛 #ECS 对战 FNC （BO3） 2025-08-29 18:00 局1 单局获胜： ECS 回合让分： ECS+2.5 回合大小： 大于21.5 （重心） 回合单双： 双
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@githubtrending · Post #14851 · 06/22/2025, 11:30 AM
#python#aws#aws_cli#aws_sdk#cloud#cloud_management#cloudformation#cloudwatch#dynamodb#ec2#ecs#elasticsearch#iam#kinesis#lambda#machine_learning#rds#redshift#route53#s3#serverless AWS Lambda lets you run code without managing servers, automatically scaling to handle any number of requests and charging you only for the compute time you use. It supports many programming languages and integrates well with other AWS services, making it ideal for tasks like real-time data processing, image handling, chatbots, and automating backups. This serverless approach saves you time and money by removing infrastructure management and adapting instantly to demand spikes, so your applications stay responsive and cost-efficient even as usage changes. Lambda is great for building scalable, event-driven applications quickly and easily. https://github.com/donnemartin/awesome-aws