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LLMs Struggle with Real Conversations: Microsoft and Salesforce Researchers Reveal a 39% Performance Drop in Multi-Turn Underspecified Tasks

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…

Read MoreLLMs Struggle with Real Conversations: Microsoft and Salesforce Researchers Reveal a 39% Performance Drop in Multi-Turn Underspecified Tasks

This AI paper from DeepSeek-AI Explores How DeepSeek-V3 Delivers High-Performance Language Modeling by Minimizing Hardware Overhead and Maximizing Computational Efficiency

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,…

Read MoreThis AI paper from DeepSeek-AI Explores How DeepSeek-V3 Delivers High-Performance Language Modeling by Minimizing Hardware Overhead and Maximizing Computational Efficiency

Salesforce AI Releases BLIP3-o: A Fully Open-Source Unified Multimodal Model Built with CLIP Embeddings and Flow Matching for Image Understanding and Generation

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,…

Read MoreSalesforce AI Releases BLIP3-o: A Fully Open-Source Unified Multimodal Model Built with CLIP Embeddings and Flow Matching for Image Understanding and Generation

AI Agents Now Write Code in Parallel: OpenAI Introduces Codex, a Cloud-Based Coding Agent Inside ChatGPT

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…

Read MoreAI Agents Now Write Code in Parallel: OpenAI Introduces Codex, a Cloud-Based Coding Agent Inside ChatGPT

DanceGRPO: A Unified Framework for Reinforcement Learning in Visual Generation Across Multiple Paradigms and Tasks

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…

Read MoreDanceGRPO: A Unified Framework for Reinforcement Learning in Visual Generation Across Multiple Paradigms and Tasks

Meet LangGraph Multi-Agent Swarm: A Python Library for Creating Swarm-Style Multi-Agent Systems Using LangGraph

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,…

Read MoreMeet LangGraph Multi-Agent Swarm: A Python Library for Creating Swarm-Style Multi-Agent Systems Using LangGraph

ByteDance Introduces Seed1.5-VL: A Vision-Language Foundation Model Designed to Advance General-Purpose Multimodal Understanding and Reasoning

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…

Read MoreByteDance Introduces Seed1.5-VL: A Vision-Language Foundation Model Designed to Advance General-Purpose Multimodal Understanding and Reasoning

Hugging Face Introduces a Free Model Context Protocol (MCP) Course: A Developer’s Guide to Build and Deploy Context-Aware AI Agents and Applications

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…

Read MoreHugging Face Introduces a Free Model Context Protocol (MCP) Course: A Developer’s Guide to Build and Deploy Context-Aware AI Agents and Applications

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

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…

Read MoreStability 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

Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models

Today, MarkTechPost had the pleasure of interviewing Joey Conway from NVIDIA to discuss their exciting work on open-source large language models, including Llama Nemotron Ultra & Parakeet. Highlights from the interview: NVIDIA’s Open Source Powerhouse: Discover how NVIDIA is pushing…

Read MoreExclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models