Cloud Security Alliance News Clipping Site

Tag: tuning

  • Hacker News: Full LLM training and evaluation toolkit

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    Source URL: https://github.com/huggingface/smollm Source: Hacker News Title: Full LLM training and evaluation toolkit Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces SmolLM2, a family of compact language models with varying parameters designed for lightweight, on-device applications, and details on how they can be utilized in different scenarios. Such advancements in AI…

  • Hacker News: 32k context length text embedding models

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    Source URL: https://blog.voyageai.com/2024/09/18/voyage-3/ Source: Hacker News Title: 32k context length text embedding models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights the launch of the Voyage 3 series embedding models, which provide significant advancements in retrieval quality, latency, and cost-effectiveness compared to existing models like OpenAI’s. Specifically, the Voyage 3 models…

  • Cloud Blog: Announcing Mistral AI’s Large-Instruct-2411 on Vertex AI

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-new-mistral-large-model-on-vertex-ai/ Source: Cloud Blog Title: Announcing Mistral AI’s Large-Instruct-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 announcing the…

  • Hacker News: WhisperNER: Unified Open Named Entity and Speech Recognition

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    Source URL: https://arxiv.org/abs/2409.08107 Source: Hacker News Title: WhisperNER: Unified Open Named Entity and Speech Recognition Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces WhisperNER, a novel model that integrates named entity recognition (NER) with automatic speech recognition (ASR) to enhance transcription accuracy and informativeness. This integration is particularly relevant for AI…

  • Hacker News: OK, I can partly explain the LLM chess weirdness now

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    Source URL: https://dynomight.net/more-chess/ Source: Hacker News Title: OK, I can partly explain the LLM chess weirdness now Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text explores the unexpected performance of the GPT-3.5-turbo-instruct model in playing chess compared to other large language models (LLMs), primarily focusing on the effectiveness of prompting techniques, instruction…

  • OpenAI : Building smarter maps with GPT-4o vision fine-tuning

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    Source URL: https://openai.com/index/grab Source: OpenAI Title: Building smarter maps with GPT-4o vision fine-tuning Feedly Summary: Building smarter maps with GPT-4o vision fine-tuning AI Summary and Description: Yes Summary: The text discusses the integration and enhancement of mapping systems through the use of GPT-4 technology, particularly focusing on fine-tuning its vision capabilities. This is especially relevant…

  • AWS News Blog: AWS Lambda SnapStart for Python and .NET functions is now generally available

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    Source URL: https://aws.amazon.com/blogs/aws/aws-lambda-snapstart-for-python-and-net-functions-is-now-generally-available/ Source: AWS News Blog Title: AWS Lambda SnapStart for Python and .NET functions is now generally available Feedly Summary: AWS Lambda SnapStart boosts Python and .NET functions’ startup times to sub-second levels, often with minimal code changes, enabling highly responsive and scalable serverless apps. AI Summary and Description: Yes Summary: The announcement…

  • Hacker News: You could have designed state of the art positional encoding

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    Source URL: https://fleetwood.dev/posts/you-could-have-designed-SOTA-positional-encoding Source: Hacker News Title: You could have designed state of the art positional encoding Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evolution of positional encoding in transformer models, specifically focusing on Rotary Positional Encoding (RoPE) as utilized in modern language models like Llama 3.2. It explains…

  • Hacker News: Don’t Look Twice: Faster Video Transformers with Run-Length Tokenization

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    Source URL: https://rccchoudhury.github.io/rlt/ Source: Hacker News Title: Don’t Look Twice: Faster Video Transformers with Run-Length Tokenization Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel approach called Run-Length Tokenization (RLT) aimed at optimizing video transformers by eliminating redundant tokens. This content-aware method results in substantial speed improvements for training and…

  • Simon Willison’s Weblog: NuExtract 1.5

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    Source URL: https://simonwillison.net/2024/Nov/16/nuextract-15/#atom-everything Source: Simon Willison’s Weblog Title: NuExtract 1.5 Feedly Summary: NuExtract 1.5 Structured extraction – where an LLM helps turn unstructured text (or image content) into structured data – remains one of the most directly useful applications of LLMs. NuExtract is a family of small models directly trained for this purpose, and released…