ImHorPhen

Open-source alternative to OpenAI's voice. Extends text-based LLM to have native "listening" ability. Think of it as an open data, open weight, on device Siri. What it offers: 📌 Implements native "listening" abilities in LLMs, similar to Siri but runs locally on-device 📌 Latest v0.4 achieves 64.63 MMLU score with enhanced context handling and noise management 📌 Provides complete training pipeline combining speech noise and multi-turn conversation data 📌 Includes ready-to-use demos via WebUI, Gradio interface, and Colab notebooks

Nice collection of LLM papers, blogs, and projects, focussing on OpenAI o1 and reasoning techniques. What it offers: 📌 Curates papers, blogs, talks, and Twitter discussions about OpenAI's o1 and LLM reasoning 📌 Tracks frontier developments in LLM reasoning capabilities and techniques

THE BEST visual explainer of how information propagates through a transformer. If you want to have more than intuition about how the Transformer architecture is ruling the LLM world → open-source project explains everything about LLM Transformer Models! → A great resource for anyone looking to gain a deeper understanding of how Transformer-based AI models like GPT work, including: → Self-attention mechanisms → Encoder-decoder architecture → Positional encoding → Multi-head attention