Tag: llama
-
Hacker News: Bringing K/V context quantisation to Ollama
Source URL: https://smcleod.net/2024/12/bringing-k/v-context-quantisation-to-ollama/ Source: Hacker News Title: Bringing K/V context quantisation to Ollama Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses K/V context cache quantisation in the Ollama platform, a significant enhancement that allows for the use of larger AI models with reduced VRAM requirements. This innovation is valuable for professionals…
-
AWS News Blog: Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes
Source URL: https://aws.amazon.com/blogs/aws/accelerate-foundation-model-training-and-fine-tuning-with-new-amazon-sagemaker-hyperpod-recipes/ Source: AWS News Blog Title: Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes Feedly Summary: Amazon SageMaker HyperPod recipes help customers get started with training and fine-tuning popular publicly available foundation models, like Llama 3.1 405B, in just minutes with state-of-the-art performance. AI Summary and Description: Yes **Summary:**…
-
Hacker News: DeepThought-8B: A small, capable reasoning model
Source URL: https://www.ruliad.co/news/introducing-deepthought8b Source: Hacker News Title: DeepThought-8B: A small, capable reasoning model Feedly Summary: Comments AI Summary and Description: Yes Summary: The release of DeepThought-8B marks a significant advancement in AI reasoning capabilities, emphasizing transparency and control in how models process information. This AI reasoning model, built on the LLaMA-3.1 architecture, showcases how smaller,…
-
Simon Willison’s Weblog: QwQ: Reflect Deeply on the Boundaries of the Unknown
Source URL: https://simonwillison.net/2024/Nov/27/qwq/#atom-everything Source: Simon Willison’s Weblog Title: QwQ: Reflect Deeply on the Boundaries of the Unknown Feedly Summary: QwQ: Reflect Deeply on the Boundaries of the Unknown Brand openly licensed model from Alibaba Cloud’s Qwen team, this time clearly inspired by OpenAI’s work on reasoning in o1. I love how the introduce the new…
-
Simon Willison’s Weblog: Quoting Ethan Mollick
Source URL: https://simonwillison.net/2024/Nov/24/ethan-mollick/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ethan Mollick Feedly Summary: Often, you are told to do this by treating AI like an intern. In retrospect, however, I think that this particular analogy ends up making people use AI in very constrained ways. To put it bluntly, any recent frontier model (by which…