Tag: fine-tuning
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Hacker News: WhisperNER: Unified Open Named Entity and Speech Recognition
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…
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Hacker News: OK, I can partly explain the LLM chess weirdness now
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…
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OpenAI : Building smarter maps with GPT-4o vision fine-tuning
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…
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AWS News Blog: AWS Lambda SnapStart for Python and .NET functions is now generally available
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…
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Hacker News: Don’t Look Twice: Faster Video Transformers with Run-Length Tokenization
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…
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Simon Willison’s Weblog: NuExtract 1.5
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…
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The Register: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100
Source URL: https://www.theregister.com/2024/11/13/nvidia_b200_performance/ Source: The Register Title: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100 Feedly Summary: Is Huang leaving even more juice on the table by opting for mid-tier Blackwell part? Signs point to yes Analysis Nvidia offered the first look at how its upcoming Blackwell accelerators stack up…
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Hacker News: Visual inference exploration and experimentation playground
Source URL: https://github.com/devidw/inferit Source: Hacker News Title: Visual inference exploration and experimentation playground Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces “inferit,” a tool designed for large language model (LLM) inference that enables users to visually compare outputs from various models, prompts, and settings. It stands out by allowing unlimited side-by-side…