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InfoQ
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Podcast: Building a More Appealing CLI for Agentic LLMs Based on Learnings from the Textual Framework
Will McGugan, the maker of Textual and Rich frameworks, speaks about the reasoning of developing the two two libraries and the lesson learned. Also, he shares light on Toad, his current project, which he envisions being a more visually appealing way of interacting with agentic LLMs through command line. By Will McGugan
Top posts from tech subreddits• Updated 15 minutes ago
Reasoning models don't degrade gracefully - they hit a complexity cliff and collapse entirely [Research Analysis] [R]
[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
If language is what makes us human, what does it mean now that LLMs have gained “metalinguistic” abilities?
Hugging Face Trending
Popular models from Hugging Face• Updated 33 minutes ago
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Popular repositories from GitHub• Updated about 1 hour ago
awesome-chatgpt-prompts
Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
presidio
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
FunASR
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.