News

marktechpost4d
SQL-R1: A Reinforcement Learning-based NL2SQL Model that Outperforms Larger Systems in Complex Queries with Transparent and Accurate SQL Generation
Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...
marktechpost3d
OpenAI Releases Codex CLI: An Open-Source Local Coding Agent that Turns Natural Language into Working Code
Command-line interfaces (CLIs) are indispensable tools for developers, offering powerful capabilities for system management and automation. However, they require precise syntax and a thorough ...
marktechpost3d
SyncSDE: A Probabilistic Framework for Task-Adaptive Diffusion Synchronization in Collaborative Generation
Diffusion models have demonstrated significant success across various generative tasks, including image synthesis, 3D scene creation, video generation, and human motion modeling. However, their ...
marktechpost6d
Code Implementation to Building a Model Context Protocol (MCP) Server and Connecting It with Claude Desktop
In this hands-on tutorial, we’ll build an MCP (Model Context Protocol) server that allows Claude Desktop to fetch stock news sentiment and daily top gainers and movers via the AlphaVantage API. Since ...
marktechpost4d
Model Compression Without Compromise: Loop-Residual Neural Networks Show Comparable Results to Larger GPT-2 Variants Using Iterative Refinement
The transformer architecture has revolutionized natural language processing, enabling models like GPT to predict the next token in a sequence efficiently. However, these models suffer from a ...
marktechpost5d
A Coding Guide to Build a Finance Analytics Tool for Extracting Yahoo Finance Data, Computing Financial Analysis, and Creating Custom PDF Reports
Extracting and analyzing stock data is key to informed decision-making in the financial landscape. This tutorial offers a comprehensive guide to building an integrated financial analysis and reporting ...
marktechpost5d
Small Models, Big Impact: ServiceNow AI Releases Apriel-5B to Outperform Larger LLMs with Fewer Resources
As language models continue to grow in size and complexity, so do the resource requirements needed to train and deploy them. While large-scale models can achieve remarkable performance across a ...
marktechpost5d
THUDM Releases GLM 4: A 32B Parameter Model Competing Head-to-Head with GPT-4o and DeepSeek-V3
In the rapidly evolving landscape of large language models (LLMs), researchers and organizations face significant challenges. These include enhancing reasoning abilities, providing robust multilingual ...
marktechpost4d
Transformers Can Now Predict Spreadsheet Cells without Fine-Tuning: Researchers Introduce TabPFN Trained on 100 Million Synthetic Datasets
Tabular data is widely utilized in various fields, including scientific research, finance, and healthcare. Traditionally, machine learning models such as gradient-boosted decision trees have been ...
marktechpost4d
From Logic to Confusion: MIT Researchers Show How Simple Prompt Tweaks Derail LLM Reasoning
Large language models are increasingly used to solve math problems that mimic real-world reasoning tasks. These models are tested for their ability to answer factual queries and how well they can ...
marktechpost5d
Reflection Begins in Pre-Training: Essential AI Researchers Demonstrate Early Emergence of Reflective Reasoning in LLMs Using Adversarial Datasets
What sets large language models (LLMs) apart from traditional methods is their emerging capacity to reflect—recognizing when something in their response doesn’t align with logic or facts and then ...
marktechpost4d
LLM Reasoning Benchmarks are Statistically Fragile: New Study Shows Reinforcement Learning RL Gains often Fall within Random Variance
Reasoning capabilities have become central to advancements in large language models, crucial in leading AI systems developed by major research labs. Despite a surge in research focused on ...