marktechpost1d
Computer Vision
As the adoption of generative AI continues to expand, developers face mounting challenges in building and deploying robust applications. The complexity of managing diverse infrastructure, ensuring ...
marktechpost2d
Creating an AI-Powered Tutor Using Vector Database and Groq for Retrieval-Augmented Generation (RAG): Step by Step Guide
Currently, three trending topics in the implementation of AI are LLMs, RAG, and Databases. These enable us to create systems that are suitable and specific to our use. This AI-powered system, ...
marktechpost3d
Meet RAGEN Framework: The First Open-Source Reproduction of DeepSeek-R1 for Training Agentic Models via Reinforcement Learning
Developing AI agents capable of independent decision-making, especially for multi-step tasks, is a significant challenge. DeepSeekAI, a leader in advancing large language models and reinforcement ...
marktechpost3d
Intel Labs Explores Low-Rank Adapters and Neural Architecture Search for LLM Compression
Large language models (LLMs) have become indispensable for various natural language processing applications, including machine translation, text summarization, and conversational AI. However, their ...
marktechpost3d
Light3R-SfM: A Scalable and Efficient Feed-Forward Approach to Structure-from-Motion
Structure-from-motion (SfM) focuses on recovering camera positions and building 3D scenes from multiple images. This process is important for tasks like 3D reconstruction and novel view synthesis. A ...
marktechpost4d
Agentic AI: The Foundations Based on Perception Layer, Knowledge Representation and Memory Systems
Agentic AI stands at the intersection of autonomy, intelligence, and adaptability, offering solutions that can sense, reason, and act in real or virtual environments with minimal human oversight. At ...
marktechpost4d
Meta AI Proposes EvalPlanner: A Preference Optimization Algorithm for Thinking-LLM-as-a-Judge
The rapid advancement of Large Language Models (LLMs) has significantly improved their ability to generate long-form responses. However, evaluating these responses efficiently and fairly remains a ...
marktechpost4d
Yandex Develops and Open-Sources Perforator: An Open-Source Tool that can Save Businesses Billions of Dollars a Year on Server Infrastructure
Yandex, a global tech company, develops and open-sources Perforator, an innovative tool for continuous real-time monitoring and analysis of servers and applications. Perforator helps developers ...
marktechpost5d
Creating An AI Agent-Based System with LangGraph: A Beginner’s Guide
For example, when a user asks a question, the LLM analyzes the input and decides whether it can answer directly or if additional steps (like a web search) are needed.
marktechpost4d
Baidu Research Introduces EICopilot: An Intelligent Agent-based Chatbot to Retrieve and Interpret Enterprise Information from Massive Graph Databases
Knowledge graphs have been used tremendously in the field of enterprise lately, with their applications realized in multiple data forms from legal persons to registered capital and shareholder’s ...
marktechpost4d
Open Thoughts: An Open Source Initiative Advancing AI Reasoning with High-Quality Datasets and Models Like OpenThoughts-114k and OpenThinker-7B
The critical issue of restricted access to high-quality reasoning datasets has limited open-source AI-driven logical and mathematical reasoning advancements. While proprietary models have leveraged ...
marktechpost3d
Memorization vs. Generalization: How Supervised Fine-Tuning SFT and Reinforcement Learning RL Shape Foundation Model Learning
Modern AI systems rely heavily on post-training techniques like supervised fine-tuning (SFT) and reinforcement learning (RL) to adapt foundation models for specific tasks. However, a critical question ...