Tag: model inference
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Docker: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner
Source URL: https://www.docker.com/blog/run-llms-locally/ Source: Docker Title: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner Feedly Summary: AI is quickly becoming a core part of modern applications, but running large language models (LLMs) locally can still be a pain. Between picking the right model, navigating hardware quirks, and optimizing for performance, it’s easy…
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Hacker News: Launch HN: Augento (YC W25) – Fine-tune your agents with reinforcement learning
Source URL: https://news.ycombinator.com/item?id=43537505 Source: Hacker News Title: Launch HN: Augento (YC W25) – Fine-tune your agents with reinforcement learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a new service offered by Augento that provides fine-tuning for language models (LLMs) using reinforcement learning, enabling users to optimize AI agents for specific…
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Cloud Blog: Anyscale powers AI compute for any workload using Google Compute Engine
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/anyscale-powers-ai-compute-for-any-workload-using-google-compute-engine/ Source: Cloud Blog Title: Anyscale powers AI compute for any workload using Google Compute Engine Feedly Summary: Over the past decade, AI has evolved at a breakneck pace, turning from a futuristic dream into a tool now accessible to everyone. One of the technologies that opened up this new era of AI…
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Hacker News: Running DeepSeek V3 671B on M4 Mac Mini Cluster
Source URL: https://blog.exolabs.net/day-2 Source: Hacker News Title: Running DeepSeek V3 671B on M4 Mac Mini Cluster Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into the performance of the DeepSeek V3 model on Apple Silicon, especially in terms of its efficiency and speed compared to other models. It discusses the…
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Hacker News: Batched reward model inference and Best-of-N sampling
Source URL: https://raw.sh/posts/easy_reward_model_inference Source: Hacker News Title: Batched reward model inference and Best-of-N sampling Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in reinforcement learning (RL) models applied to large language models (LLMs), focusing particularly on reward models utilized in techniques like Reinforcement Learning with Human Feedback (RLHF) and dynamic…