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Language Models

175 summarised stories about Language Models, each linking back to the original source. Browse all topics →

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OpenAI MarkTechPost Google GPT-6 Astra Anthropic Hugging Face

Thursday, 24 September 2026

Speaker-labeled transcription with WhisperX on SageMaker AI

Amazon Web Services 2 weeks ago 22 ● 2 sources

AWS published a guide for deploying the WhisperX speech-to-text deep learning container on Amazon SageMaker AI to produce transcripts with word-level timestamps and speaker labels. The real-time endpoint must return within a 60-second response cap, while long audio should use the asynchronous endpoint. This changes transcription outputs and deployment workflow by adding per-word alignment and diarization labels and by routing requests through either synchronous or S3-backed async inference on SageMaker.

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AI Infrastructure Developer Tools Language Models AWS

The Sequence Opinion - Issue 939: Beyond the Next Token

TheSequence 3 weeks ago 9

The Sequence Opinion explains how text diffusion changes language generation compared with ordinary autoregressive next-token writing. It frames the discussion in Issue 939 and contrasts autoregression’s append-only constraint with diffusion’s iterative denoising from corrupted sequences. As a result, answers can be generated faster with more flexible editing, but the model must make parallel token decisions that agree without losing the speed gains.

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Language Models Generative AI Model Architecture Diffusion Models

Contrastive-LM Releases CLM-8B: An Open System One Model That Scores Agent Actions Up to 9× Faster Than Jev

MarkTechPost 3 weeks ago 31

Contrastive-LM released CLM-8B, an open Contrastive Language Model that scores candidate agent actions and returns probabilities instead of generating text. The Apache-2.0 model head is 75 MB and it runs on 1 NVIDIA GPU under Linux using vLLM with a Qwen3-8B encoder. Its cached state/action embeddings and dot-product scoring cut agent-loop latency and, in reported tests, give up to 9× lower latency than Jev while fine-tuned heads improve verifier pass rates on DeepSWE and Terminal-Bench 2.1 subsets.

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Language Models Agent Evaluation Open Models

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