Tag: model optimization
-
Cloud Blog: Announcing Mistral AI’s Large-Instruct-2411 and Codestral-2411 on Vertex AI
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-mistral-ais-large-instruct-2411-and-codestral-2411-on-vertex-ai/ Source: Cloud Blog Title: Announcing Mistral AI’s Large-Instruct-2411 and Codestral-2411 on Vertex AI Feedly Summary: In July, we announced the availability of Mistral AI’s models on Vertex AI: Codestral for code generation tasks, Mistral Large 2 for high-complexity tasks, and the lightweight Mistral Nemo for reasoning tasks like creative writing. Today, we’re…
-
Slashdot: Red Hat is Acquiring AI Optimization Startup Neural Magic
Source URL: https://linux.slashdot.org/story/24/11/12/2030238/red-hat-is-acquiring-ai-optimization-startup-neural-magic?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Red Hat is Acquiring AI Optimization Startup Neural Magic Feedly Summary: AI Summary and Description: Yes Summary: Red Hat’s acquisition of Neural Magic highlights a significant development in AI optimization, showcasing an innovative approach to enhancing AI model performance on standard hardware. This move underlines the growing importance of…
-
Cloud Blog: PyTorch/XLA 2.5: vLLM support and an improved developer experience
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/whats-new-with-pytorchxla-2-5/ Source: Cloud Blog Title: PyTorch/XLA 2.5: vLLM support and an improved developer experience Feedly Summary: Machine learning engineers are bullish on PyTorch/XLA, a Python package that uses the XLA deep learning compiler to connect the PyTorch deep learning framework and Cloud TPUs. And now, PyTorch/XLA 2.5 is here, along with a set…
-
Hacker News: VPTQ: Extreme low-bit Quantization for real LLMs
Source URL: https://github.com/microsoft/VPTQ Source: Hacker News Title: VPTQ: Extreme low-bit Quantization for real LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a novel technique called Vector Post-Training Quantization (VPTQ) designed for compressing Large Language Models (LLMs) to extremely low bit-widths (under 2 bits) without compromising accuracy. This innovative method can…
-
OpenAI : Model Distillation in the API
Source URL: https://openai.com/index/api-model-distillation Source: OpenAI Title: Model Distillation in the API Feedly Summary: Fine-tune a cost-efficient model with the outputs of a large frontier model–all on the OpenAI platform AI Summary and Description: Yes Summary: The text references techniques for fine-tuning a cost-efficient model utilizing the outputs of a large frontier model on the OpenAI…