Liquid AI Releases LFM2.5-8B-A1B: An On-Device MoE Model With 8.3B Total and 1.5B Active Parameters
Source: MarkTechPost Liquid AI just shipped LFM2.5-8B-A1B. It is an on-device Mixture-of-Experts (MoE) model built for tool calling....
Anthropic Ships Claude Opus 4.8 Alongside Dynamic Workflows and Cheaper Fast Mode, With Workflows Capped at 1,000 Subagents
Source: MarkTechPost Anthropic just launched Claude Opus 4.8. Also, there two Claude Code updates shipped with it. Dynamic...
Media Advisory: MIT to establish regional quantum hub
Source: MIT News – Artificial intelligence MIT and the Commonwealth of Massachusetts announced plans to establish the Quantum...
Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate
Source: MarkTechPost Perplexity AI’s research team reimplemented their Unigram tokenizer from scratch in Rust and open-sourced the code...
A Coding Guide to Implement a pgvector-Powered Semantic, Hybrid, Sparse, and Quantized Vector Search System
Source: MarkTechPost In this tutorial, we build a complete pgvector playground inside Google Colab and explore how PostgreSQL...
Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modules
Source: MarkTechPost Researchers from Sakana AI and the University of Tokyo propose DiffusionBlocks. It trains transformer-based networks one...
NVIDIA Releases Polar, a Token-Faithful Rollout Framework for GRPO Training Across Codex, Claude Code, and Qwen Code
Source: MarkTechPost Reinforcement learning for language agents is growing more complex. Agents now manage multi-turn tool use, long-running...
Meet EAGLE 3.1: The Speculative Decoding Algorithm That Fixes Attention Drift in LLM Inference
Source: MarkTechPost Speculative decoding is a technique for speeding up large language model inference. A small, fast draft...
MEMO: A Modular Framework for Training a Dedicated Memory Model on New Knowledge Without Modifying LLM Parameters
Source: MarkTechPost Large language models become static after pretraining. Their knowledge does not update as the world changes....
Design a High-Precision Retrieve-and-Rerank Pipeline with ZeroEntropy Zerank-2 Reranker
Source: MarkTechPost In this tutorial, we use zeroentropy/zerank-2-reranker, a 4B Qwen3-based cross-encoder reranker, to improve retrieval quality. We...