marktechpost4d
A Code Implementation of Monocular Depth Estimation Using Intel MiDaS Open Source Model on Google Colab with PyTorch and OpenCV
Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...
marktechpost4d
TokenBridge: Bridging The Gap Between Continuous and Discrete Token Representations In Visual Generation
Autoregressive visual generation models have emerged as a groundbreaking approach to image synthesis, drawing inspiration from language model token prediction mechanisms. These innovative models ...
marktechpost4d
AI Infrastructure
Large Language Models (LLMs) are becoming integral to modern technology, driving agentic systems that interact dynamically with external environments. Despite their impressive capabilities, LLMs are ...
marktechpost5d
Vision-R1: Redefining Reinforcement Learning for Large Vision-Language Models
Large Vision-Language Models (LVLMs) have made significant strides in recent years, yet several key limitations persist. One major challenge is aligning these models effectively with human ...
marktechpost5d
Beginner’s Guide to Deploying a Machine Learning API with FastAPI
In this guide, you will learn how to deploy a machine learning model as an API using FastAPI. We will create an API that predicts the species of a penguin based on ...
marktechpost5d
This AI Paper Introduces the Kolmogorov-Test: A Compression-as-Intelligence Benchmark for Evaluating Code-Generating Language Models
Compression is a cornerstone of computational intelligence, deeply rooted in the theory of Kolmogorov complexity, which defines the minimal program needed to reproduce a given sequence. Unlike ...
marktechpost5d
This AI Paper Introduces PLAN-AND-ACT: A Modular Framework for Long-Horizon Planning in Web-Based Language Agents
Large language models are powering a new wave of digital agents to handle sophisticated web-based tasks. These agents are expected to interpret user instructions, navigate interfaces, and execute ...
marktechpost6d
Understanding and Mitigating Failure Modes in LLM-Based Multi-Agent Systems
Despite the growing interest in Multi-Agent Systems (MAS), where multiple LLM-based agents collaborate on complex tasks, their performance gains remain limited compared to single-agent frameworks.
marktechpost6d
DeepSeek AI Unveils DeepSeek-V3-0324: Blazing Fast Performance on Mac Studio, Heating Up the Competition with OpenAI
Artificial intelligence (AI) has made significant strides in recent years, yet challenges persist in achieving efficient, cost-effective, and high-performance models. Developing large language models ...
marktechpost6d
RWKV-7: Advancing Recurrent Neural Networks for Efficient Sequence Modeling
Autoregressive Transformers have become the leading approach for sequence modeling due to their strong in-context learning and parallelizable training enabled by softmax attention. However, softmax ...
marktechpost6d
PydanticAI: Advancing Generative AI Agent Development through Intelligent Framework Design
Innovative frameworks that simplify complex interactions with large language models have fundamentally transformed the landscape of generative AI development in Python. PydanticAI emerges as a robust ...
marktechpost6d
Google AI Released Gemini 2.5 Pro Experimental: An Advanced AI Model that Excels in Reasoning, Coding, and Multimodal Capabilities
In the evolving field of artificial intelligence, a significant challenge has been developing models that can effectively reason through complex problems, generate accurate code, and process multiple ...