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Tag: smaller models

  • AWS News Blog: DeepSeek-R1 models now available on AWS

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/aws/deepseek-r1-models-now-available-on-aws/ Source: AWS News Blog Title: DeepSeek-R1 models now available on AWS Feedly Summary: DeepSeek-R1, a powerful large language model featuring reinforcement learning and chain-of-thought capabilities, is now available for deployment via Amazon Bedrock and Amazon SageMaker AI, enabling users to build and scale their generative AI applications with minimal infrastructure investment to…

  • Simon Willison’s Weblog: Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL!

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/27/qwen25-vl-qwen25-vl-qwen25-vl/ Source: Simon Willison’s Weblog Title: Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL! Feedly Summary: Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL! Hot on the heels of yesterday’s Qwen2.5-1M, here’s Qwen2.5 VL (with an excitable announcement title) – the latest in Qwen’s series of vision LLMs. They’re releasing multiple versions: base models and instruction tuned…

  • Hacker News: DeepSeek-R1-Distill-Qwen-1.5B Surpasses GPT-4o in certain benchmarks

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    Kurt Seifried
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    Source URL: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B Source: Hacker News Title: DeepSeek-R1-Distill-Qwen-1.5B Surpasses GPT-4o in certain benchmarks Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes the introduction of DeepSeek-R1 and DeepSeek-R1-Zero, first-generation reasoning models that utilize large-scale reinforcement learning without prior supervised fine-tuning. These models exhibit significant reasoning capabilities but also face challenges like endless…

  • Hacker News: How outdated information hides in LLM token generation probabilities

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    Kurt Seifried
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    Source URL: https://blog.anj.ai/2025/01/llm-token-generation-probabilities.html Source: Hacker News Title: How outdated information hides in LLM token generation probabilities Feedly Summary: Comments AI Summary and Description: Yes ### Summary: The text provides a deep examination of how large language models (LLMs), such as ChatGPT, process and generate responses based on conflicting and outdated information sourced from the internet.…

  • Hacker News: TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

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    Source URL: https://arxiv.org/abs/2305.07759 Source: Hacker News Title: TinyStories: How Small Can Language Models Be and Still Speak Coherent English? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a study on the capabilities of small language models in generating coherent text using a new dataset called TinyStories. The findings suggest that even…

  • Hacker News: I Run LLMs Locally

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    Source URL: https://abishekmuthian.com/how-i-run-llms-locally/ Source: Hacker News Title: I Run LLMs Locally Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses how to set up and run Large Language Models (LLMs) locally, highlighting hardware requirements, tools, model choices, and practical insights on achieving better performance. This is particularly relevant for professionals focused on…

  • Hacker News: Can LLMs Accurately Recall the Bible

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    Source URL: https://benkaiser.dev/can-llms-accurately-recall-the-bible/ Source: Hacker News Title: Can LLMs Accurately Recall the Bible Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents an evaluation of Large Language Models (LLMs) regarding their ability to accurately recall Bible verses. The analysis reveals significant differences in accuracy based on model size and parameter count, highlighting…

  • Hacker News: Lightweight Safety Classification Using Pruned Language Models

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    Source URL: https://arxiv.org/abs/2412.13435 Source: Hacker News Title: Lightweight Safety Classification Using Pruned Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper presents an innovative technique called Layer Enhanced Classification (LEC) for enhancing content safety and prompt injection classification in Large Language Models (LLMs). It highlights the effectiveness of using smaller, pruned…

  • Simon Willison’s Weblog: Everything I’ve learned so far about running local LLMs

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    Source URL: https://simonwillison.net/2024/Nov/10/running-llms/#atom-everything Source: Simon Willison’s Weblog Title: Everything I’ve learned so far about running local LLMs Feedly Summary: Everything I’ve learned so far about running local LLMs Chris Wellons shares detailed notes on his experience running local LLMs on Windows – though most of these tips apply to other operating systems as well. This…

  • Cloud Blog: How to deploy and serve multi-host gen AI large open models over GKE

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploy-and-serve-open-models-over-google-kubernetes-engine/ Source: Cloud Blog Title: How to deploy and serve multi-host gen AI large open models over GKE Feedly Summary: Context As generative AI experiences explosive growth fueled by advancements in LLMs (Large Language Models), access to open models is more critical than ever for developers. Open models are publicly available pre-trained foundational…