Conversational artificial intelligence is centered on enabling large language models (LLMs) to engage in dynamic interactions where user needs are revealed progressively. These systems are widely deployed in tools that assist with coding, writing, and research by interpreting and responding to natural language instructions. The aspiration is for these models to flexibly adjust to changing […] The post LLMs Struggle with Real Conversations: Microsoft and Salesforce Researchers Reveal a 39% Performance Drop in Multi-Turn Underspecified Tasks appeared first on MarkTechPost. read more

The growth in developing and deploying large language models (LLMs) is closely tied to architectural innovations, large-scale datasets, and hardware improvements. Models like DeepSeek-V3, GPT-4o, Claude 3.5 Sonnet, and LLaMA-3 have demonstrated how scaling enhances reasoning and dialogue capabilities. However, as their performance increases, so do computing, memory, and communication bandwidth demands, placing substantial strain […] The post This AI paper from DeepSeek-AI Explores How DeepSeek-V3 Delivers High-Performance Language Modeling by Minimizing Hardware Overhead and Maximizing Computational Efficiency appeared first on MarkTechPost. read more

In a move that signals a deeper convergence of AI and software engineering, Windsurf has announced the launch of SWE-1, its first family of AI models purpose-built for the entire software development lifecycle. Unlike traditional code generation models, SWE-1 is designed to assist with real-world software engineering workflows—handling everything from incomplete code states to multi-surface […] The post Windsurf Launches SWE-1: A Frontier AI Model Family for End-to-End Software Engineering appeared first on MarkTechPost. read more

Multimodal modeling focuses on building systems to understand and generate content across visual and textual formats. These models are designed to interpret visual scenes and produce new images using natural language prompts. With growing interest in bridging vision and language, researchers are working toward integrating image recognition and image generation capabilities into a unified system. […] The post Salesforce AI Releases BLIP3-o: A Fully Open-Source Unified Multimodal Model Built with CLIP Embeddings and Flow Matching for Image Understanding and Generation appeared first on MarkTechPost. read more

OpenAI has introduced Codex, a cloud-native software engineering agent integrated into ChatGPT, signaling a new era in AI-assisted software development. Unlike traditional coding assistants, Codex is not just a tool for autocompletion—it acts as a cloud-based agent capable of autonomously performing a wide range of programming tasks, from writing and debugging code to running tests […] The post AI Agents Now Write Code in Parallel: OpenAI Introduces Codex, a Cloud-Based Coding Agent Inside ChatGPT appeared first on MarkTechPost. read more

Recent advances in generative models, especially diffusion models and rectified flows, have revolutionized visual content creation with enhanced output quality and versatility. Human feedback integration during training is essential for aligning outputs with human preferences and aesthetic standards. Current approaches like ReFL methods depend on differentiable reward models that introduce VRAM inefficiency for video generation. […] The post DanceGRPO: A Unified Framework for Reinforcement Learning in Visual Generation Across Multiple Paradigms and Tasks appeared first on MarkTechPost. read more

LangGraph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a cohesive “swarm.” It builds on LangGraph, a framework for constructing robust, stateful agent workflows, to enable a specialized form of multi-agent architecture. In a swarm, agents with different specializations dynamically hand off control to one another as tasks demand, rather […] The post Meet LangGraph Multi-Agent Swarm: A Python Library for Creating Swarm-Style Multi-Agent Systems Using LangGraph appeared first on MarkTechPost. read more

VLMs have become central to building general-purpose AI systems capable of understanding and interacting in digital and real-world settings. By integrating visual and textual data, VLMs have driven advancements in multimodal reasoning, image editing, GUI agents, robotics, and more, influencing sectors like education and healthcare. Despite this progress, VLMs still lag behind human capabilities, particularly […] The post ByteDance Introduces Seed1.5-VL: A Vision-Language Foundation Model Designed to Advance General-Purpose Multimodal Understanding and Reasoning appeared first on MarkTechPost. read more

Text-to-audio generation has emerged as a transformative approach for synthesizing sound directly from textual prompts, offering practical use in music production, gaming, and virtual experiences. Under the hood, these models typically employ Gaussian flow-based techniques such as diffusion or rectified flows. These methods model the incremental steps that transition from random noise to structured audio. […] The post Stability AI Introduces Adversarial Relativistic-Contrastive (ARC) Post-Training and Stable Audio Open Small: A Distillation-Free Breakthrough for Fast, Diverse, and Efficient Text-to-Audio Generation Across Devices appeared first on MarkTechPost. read more

Hugging Face has released a free/open-source course on the Model Context Protocol (MCP), an open approach developed by Anthropic to facilitate the integration of large language models (LLMs) with external data sources and tools. This course aims to provide developers and AI practitioners with the knowledge and skills to leverage MCP for building more context-aware […] The post Hugging Face Introduces a Free Model Context Protocol (MCP) Course: A Developer’s Guide to Build and Deploy Context-Aware AI Agents and Applications appeared first on MarkTechPost. read more