All tags
Topic: "vision-encoders"
Grok 4 Fast: Xai's distilled, 40% more token efficient, 2m context, 344 tok/s frontier model
grok-4-fast magistral-1.2 moondream-3 granite-docling-258m sail-vl2 xai meta-ai-fair mistral-ai ibm bytedance efficiency reasoning vision multimodality model-optimization model-deployment vision-encoders model-architecture model-training nearcyan aidangomez _akhaliq vikhyatk rohanpaul_ai
xAI announced Grok 4 Fast, a highly efficient model running at 344 tokens/second, offering reasoning and nonreasoning modes and free trials on major platforms. Meta showcased its neural band and Ray-Ban Display with a live demo that experienced hiccups but sparked discussion on live hardware demos and integration challenges. Meta is also developing a first-party "Horizon Engine" for AI rendering and released Quest-native Gaussian Splatting capture tech. New model releases include Mistral's Magistral 1.2, a compact multimodal vision-language model with improved benchmarks and local deployment; Moondream 3, a 9B-parameter MoE VLM focused on efficient visual reasoning; IBM's Granite-Docling-258M, a document VLM for layout-faithful PDF to HTML/Markdown conversion; and ByteDance's SAIL-VL2, a vision-language foundation model excelling at multimodal understanding and reasoning at 2B and 8B parameter scales.