Liquid AI Introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: Dense Bi-Encoder and Late-Interaction Models for Fast Multilingual Search Across 11 Languages
Source: MarkTechPost This week, Liquid AI released two new retrieval models. They are LFM2.5-ColBERT-350M and LFM2.5-Embedding-350M. Both hold...
Salesforce CodeGen Tutorial: Generate, Validate, and Rerank Python Functions With Unit Tests and Safety Checks
Source: MarkTechPost In this tutorial, we implement an end-to-end workflow for Salesforce CodeGen. We load a CodeGen model...
Perplexity Launches Brain, a Self-Improving Memory System That Builds a Context Graph of an Agent’s Work and Learns Overnight
Source: MarkTechPost Most AI memory remembers the user. It stores your preferences, your tastes, and your role. Perplexity...
The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache
Source: MarkTechPost Long-context large language models (LLMs) face a memory bottleneck that has nothing to do with model...
MIT in the media: For the future of tech, “Massachusetts can absolutely lead”
Source: MIT News – Artificial intelligence On June 9, The Boston Globe released its 2026 “Tech Power Players” list,...
OpenAI Releases LifeSciBench, a 750-Task Benchmark Grading AI Models on Real Life-Science Research With Expert-Written Rubric
Source: MarkTechPost Most biology benchmarks ask narrow, fact-based questions with clean answers. Scientists weigh imperfect evidence and make...
NVIDIA SkillSpector Guide: Scanning AI Skills for Security Risks with Static Analysis and SARIF Reports
Source: MarkTechPost In this tutorial, we explore how NVIDIA SkillSpector helps us evaluate AI skills for security risks...
In game theory, generalists sometimes win out over specialists
Source: MIT News – Artificial intelligence Whether you’re playing poker against a single opponent or find yourself in...
Vercel Releases Eve: An Open-Source AI Agent Framework Where Each Agent is a Directory of Files Mapped to Capabilities
Source: MarkTechPost Vercel has released eve, an open-source framework for building, running, and scaling agents. The project is...
MiniMax Sparse Attention (MSA): a Two-Branch Block-Sparse Attention Trained on a 109B-Parameter MoE With a 3T-Token Budget
Source: MarkTechPost MiniMax released MSA (MiniMax Sparse Attention), a sparse attention method built directly on Grouped Query Attention...