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Opinion: All LLMs have something like Wernicke's aphasia and we should use that to define their use cases
Qwen3-Embedding-0.6B is fast, high quality, and supports up to 32k tokens. Beats OpenAI embeddings on MTEB
Built an AI voice calling system that actually works (unlike GHL's native one), here's what happened
I Used AI to Analyze 87 Reddit Posts About What People Actually Want from AI (Spoiler: It's Not Another Chatbot)
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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.
habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
khoj
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
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.