Build a Hybrid-Memory Autonomous Agent with Modular Architecture and Tool Dispatch Using OpenAI
Source: MarkTechPost In this tutorial, we begin by exploring the architecture behind a hybrid-memory autonomous agent. This system...
Meet AntAngelMed: A 103B-Parameter Open-Source Medical Language Model Built on a 1/32 Activation-Ratio MoE Architecture
Source: MarkTechPost A team researchers from China have released AntAngelMed, a large open-source medical language model that the...
Q&A: Expanding MIT’s global reach through Universal Learning
Source: MIT News – Artificial intelligence MIT’s Universal Learning is a new initiative from MIT Open Learning designed...
Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere”
Source: MIT News – Artificial intelligence “Artificial intelligence is not just for computer scientists anymore; it’s going to...
Tilde Research Introduces Aurora: A Leverage-Aware Optimizer That Fixes a Hidden Neuron Death Problem in Muon
Source: MarkTechPost Researchers at Tilde Research have released Aurora, a new optimizer for training neural networks that addresses...
A Coding Implementation to Portfolio Optimization with skfolio for Building Testing, Tuning, and Comparing Modern Investment Strategies
Source: MarkTechPost In this tutorial, we explore skfolio, a scikit-learn compatible portfolio optimization library that helps us build,...
OpenAI Introduces Daybreak: A Cybersecurity Initiative That Puts Codex Security at the Center of Vulnerability Detection and Patch Validation
Source: MarkTechPost OpenAI on just launched Daybreak, a cybersecurity initiative that combines the company’s frontier AI models with...
Understanding LLM Distillation Techniques
Source: MarkTechPost Modern large language models are no longer trained only on raw internet text. Increasingly, companies are...
How to Build Technical Analysis and Backtesting Workflow with pandas-ta-classic, Strategy Signals, and Performance Metrics
Source: MarkTechPost In this tutorial, we implement how to use pandas-ta-classic to build a complete technical analysis and...
Meta and Stanford Researchers Propose Fast Byte Latent Transformer That Reduces Inference Memory Bandwidth by Over 50% Without Tokenization
Source: MarkTechPost A team of researchers from Meta, Stanford University, and the University of Washington have introduced three...