OpenAI Debuts Agent Builder and AgentKit: A Visual-First Stack for Building, Deploying, and Evaluating AI Agents| MarkTechPost
Do curated, tool-grounded demonstrations build stronger software agents than broad piles of generic instruction data? A team of researchers from Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) proposes LIMI (“Less Is More for Agency”), a supervised fine-tuning method that turns a base model into a capable software/research agent using 78 samples. […] The post A New Agency-Focused Supervision Approach Scales Software AI Agents With Only 78 Examples appeared first ...| MarkTechPost
Why treat LLM inference as batched kernels to DRAM when a dataflow compiler can pipe tiles through on-chip FIFOs and stream converters?StreamTensor is a compiler that lowers PyTorch LLM graphs (GPT-2, Llama, Qwen, Gemma) into stream-scheduled dataflow accelerators on AMD’s Alveo U55C FPGA. The system introduces an iterative tensor (“itensor”) type to encode tile/order of […] The post StreamTensor: A PyTorch-to-Accelerator Compiler that Streams LLM Intermediates Across FPGA Dataflows a...| MarkTechPost
Salesforce AI Research released CoDA-1.7B, a diffusion-based language model for code that generates by denoising whole sequences with bidirectional context, updating multiple tokens in parallel rather than left-to-right next-token prediction. The research team published both Base and Instruct checkpoints and an end-to-end training/evaluation/serving stack. Understanding the architecture and training CoDA adapts a 1.7B-parameter backbone to […] The post Salesforce AI Research Releases CoDA-1...| MarkTechPost
Building robust AI agents differs fundamentally from traditional software development, as it centers on probabilistic model behavior rather than deterministic code execution. This guide provides a neutral overview of methodologies for designing AI agents that are both reliable and adaptable, with an emphasis on creating clear boundaries, effective behaviors, and safe interactions. What Is Agentic […] The post Agentic Design Methodology: How to Build Reliable and Human-Like AI Agents using P...| MarkTechPost
Optimizing only for Automatic Speech Recognition (ASR) and Word Error Rate (WER) is insufficient for modern, interactive voice agents. Robust evaluation must measure end-to-end task success, barge-in behavior and latency, and hallucination-under-noise—alongside ASR, safety, and instruction following. VoiceBench offers a multi-facet speech-interaction benchmark across general knowledge, instruction following, safety, and robustness to speaker/environment/content variations, but […] The pos...| MarkTechPost
Can a speech enhancer trained only on real noisy recordings cleanly separate speech and noise—without ever seeing paired data? A team of researchers from Brno University of Technology and Johns Hopkins University proposes Unsupervised Speech Enhancement using Data-defined Priors (USE-DDP), a dual-stream encoder–decoder that separates any noisy input into two waveforms—estimated clean speech and residual […] The post This AI Paper Proposes a Novel Dual-Branch Encoder-Decoder Architectu...| MarkTechPost
We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text, we focus on training a transformer-based architecture that learns quantitative relationships hidden within natural language descriptions. We start by generating synthetic text-to-number data, tokenizing it efficiently, […] The post A Coding Implementation to Build a Transformer-Based Regressi...| MarkTechPost
What if, instead of re-sampling one agent, you could push Gemini-2.5 Pro to 34.1% on HLE by mixing 12–15 tool-using agents that share notes and stop early? Google Cloud AI Research, with collaborators from MIT, Harvard, and Google DeepMind, introduced TUMIX (Tool-Use Mixture)—a test-time framework that ensembles heterogeneous agent styles (text-only, code, search, guided variants) […] The post Google Proposes TUMIX: Multi-Agent Test-Time Scaling With Tool-Use Mixture appeared first on M...| MarkTechPost
Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and even neural network accuracy and latency—without hand-engineered features. A 300M-parameter encoder–decoder initialized from T5-Gemma achieves strong rank correlations across heterogeneous tasks and languages, using a single text-to-number decoder […] The post Can a Small Language Model ...| MarkTechPost
A Coding Guide to Build an Autonomous Agentic AI for Time Series Forecasting with Darts and Hugging Face. A Step by step guide| MarkTechPost
Qwen3-ASR-Toolkit: An Advanced Open Source Python Command-Line Toolkit for Using the Qwen-ASR API Beyond the 3 Minutes/10 MB Limit| MarkTechPost
Physical AI: Bridging Robotics, Material Science, and Artificial Intelligence for Next-Gen Embodied Systems| MarkTechPost
MIT’s LEGO compiler auto-generates AI accelerators, achieving 3.2× speedup and 2.4× efficiency over Gemmini with affine-based optimization| MarkTechPost
Alibaba Releases Tongyi DeepResearch: A 30B-Parameter Open-Source Agentic LLM Optimized for Long-Horizon Research| MarkTechPost
IBM releases GraniteDocling, an open-source compact document AI model with improved accuracy, multilingual support, and enterprise readiness| MarkTechPost
Holo1.5 open VLMs for computer-use agents: precise UI localization, UI-VQA, 3B/7B/72B models, Apache-2.0 7B, benchmark results| MarkTechPost
Building AI agents demands governed data pipelines, guardrails, monitoring, and ACL-aware retrieval—5% AI, 100% engineering discipline| MarkTechPost
AG-UI standardizes agent-frontend streaming via SSE/WebSockets: text, tool calls, and state synchronization with production-ready patterns| MarkTechPost
NVIDIA AI Open-Sources ViPE (Video Pose Engine): A Powerful and Versatile 3D Video Annotation Tool for Spatial AI| MarkTechPost
LongWriter-Zero: A Reinforcement Learning Framework for Ultra-Long Text Generation Without Synthetic Data| MarkTechPost
Step-by-Step Coding Guide How to Implement the LLM Arena-as-a-Judge Approach to Evaluate Large Language Model Outputs| MarkTechPost
Discover vibe coding for data engineering. Learn DAGs, idempotence, and data quality tests to build reliable pipelines efficiently| MarkTechPost
Snowglobe by Guardrails AI simulates realistic chatbot conversations to reveal blind spots, improve reliability, and enable fine‑tuning| MarkTechPost
In this tutorial, we’ll walk through how to:Load and use a pre-trained router. Calibrate it for your own use case. Test routing prompts.| MarkTechPost
Graph-R1, an advanced agentic GraphRAG framework using hypergraph knowledge and reinforcement learning for accurate, efficient QA| MarkTechPost
Explore VL-Cogito’s curriculum RL innovations for multimodal reasoning in AI. Boost chart, math, and science problem-solving accuracy| MarkTechPost
Cloudflare vs Perplexity exposes AI scraping controversy, sparking paywalled content, publisher mistrust, and shifting web monetization| MarkTechPost
Discover what proxy servers are, how they work, their types, use cases, top providers, and proxy server 2025 trends| MarkTechPost
Michal Sutter is a data science professional with a Master of Science in Data Science from the University of Padova. With a solid foundation in statistical analysis, machine learning, and data engineering, Michal excels at transforming complex datasets into actionable insights.| MarkTechPost
Meet CoAct-1: A Novel Multi-Agent System that Synergistically Combines GUI-based Control with Direct Programmatic Execution| MarkTechPost
Discover what proxy servers are, how they work, their types, use cases, top providers, and proxy server 2025 trends| MarkTechPost
NVIDIA XGBoost 3.0: Training Terabyte-Scale Datasets with Grace Hopper Superchip| MarkTechPost
A Coding Implementation to Advanced LangGraph Multi-Agent Research Pipeline for Automated Insights Generation| MarkTechPost
OpenAI launches GPT-5: faster, smarter, safer AI with advanced code, agentic tools, and enterprise cloud integration| MarkTechPost
Mixture-of-Experts MoE Architecture Comparison: Qwen3 30B-A3B vs. GPT-OSS 20B| MarkTechPost
Learn everything about Model Context Protocol (MCP) in 2025—features, benefits, adoption, technical details, and future advancements| MarkTechPost
NVIDIA AI Released DiffusionRenderer: An AI Model for Editable, Photorealistic 3D Scenes from a...| MarkTechPost
Aswin AK is a consulting intern at MarkTechPost. He is pursuing his Dual Degree at the Indian Institute of Technology, Kharagpur. He is passionate about data science and machine learning, bringing a strong academic background and hands-on experience in solving real-life cross-domain challenges.| MarkTechPost
HPC-AI Tech Releases Open-Sora 2.0: An Open-Source SOTA-Level Video Generation Model Trained for Just $200K| MarkTechPost
Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views,...| MarkTechPost
From Backend Automation to Frontend Collaboration: What’s New in AG-UI Latest Update for AI Agent-User Interaction| MarkTechPost
From Sparse Rewards to Precise Mastery: How DEMO3 is Revolutionizing Robotic Manipulation| MarkTechPost
From Genes to Genius: Evolving Large Language Models with Nature’s Blueprint| MarkTechPost
ByteDance Research Releases DAPO: A Fully Open-Sourced LLM Reinforcement Learning System at Scale| MarkTechPost
s1: A Simple Yet Powerful Test-Time Scaling Approach for LLMs| MarkTechPost
4 Open-Source Alternatives to OpenAI’s $200/Month Deep Research AI Agent| MarkTechPost