marktechpost4d
Reka AI Open Sourced Reka Flash 3: A 21B General-Purpose Reasoning Model that was Trained from Scratch
In today’s dynamic AI landscape, developers and organizations face several practical challenges. High computational demands, latency issues, and limited access to truly adaptable open-source models ...
marktechpost5d
Visual Studio Code Setup Guide
Visual Studio Code (VSCode) is a lightweight but powerful source code editor that runs on your desktop. It comes with built-in support for JavaScript, TypeScript, and Node.js and has a rich ecosystem ...
marktechpost7d
Qilin: A Multimodal Dataset with APP-level User Sessions To Advance Search and Recommendation Systems
Search engines and recommender systems are essential in online content platforms nowadays. Traditional search methodologies focus on textual content, creating a critical gap in handling illustrated ...
marktechpost7d
Evaluating Brain Alignment in Large Language Models: Insights into Linguistic Competence and Neural Representations
LLMs exhibit striking parallels to neural activity within the human language network, yet the specific linguistic properties that contribute to these brain-like representations remain unclear.
marktechpost6d
Google AI Introduces Differentiable Logic Cellular Automata (DiffLogic CA): A Differentiable Logic Approach to Neural Cellular Automata
Researchers and enthusiasts have been fascinated by the challenge of reverse-engineering complex behaviors that emerge from simple rules in cellular automata for decades. Traditionally, this field ...
marktechpost6d
Getting Started with Kaggle Kernels for Machine Learning
Kaggle Kernels (also called Notebooks) represent a revolutionary cloud-based platform for data science and machine learning work. They provide a complete computational environment where you can write, ...
marktechpost7d
Tufa Labs Introduced LADDER: A Recursive Learning Framework Enabling Large Language Models to Self-Improve without Human Intervention
Large Language Models (LLMs) benefit significantly from reinforcement learning techniques, which enable iterative improvements by learning from rewards. However, training these models efficiently ...
marktechpost7d
Inception Unveils Mercury: The First Commercial-Scale Diffusion Large Language Model
The landscape of generative AI and LLMs has experienced a remarkable leap forward with the launch of Mercury by the cutting-edge startup Inception Labs. Introducing the first-ever commercial-scale ...
marktechpost7d
This AI Paper from MIT and UCL Introduces a Diagrammatic Approach for GPU-Aware Deep Learning Optimization
Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than ...
marktechpost8d
AutoAgent: A Fully-Automated and Highly Self-Developing Framework that Enables Users to Create and Deploy LLM Agents through Natural Language Alone
From business processes to scientific studies, AI agents can process huge datasets, streamline processes, and help in decision-making. Yet, even with all these developments, building and tailoring LLM ...
marktechpost7d
This AI Paper Introduces a Parameter-Efficient Fine-Tuning Framework: LoRA, QLoRA, and Test-Time Scaling for Optimized LLM Performance
Large Language Models (LLMs) are essential in fields that require contextual understanding and decision-making. However, their development and deployment come with substantial computational costs, ...
marktechpost7d
Meet Manus: A New AI Agent from China with Deep Research + Operator + Computer Use + Lovable + Memory
In today’s digital era, the way we work is rapidly evolving, yet many challenges persist. Conventional AI assistants and manual workflows struggle to keep pace with the complexity and volume of modern ...