marktechpost3d
KAIST and DeepAuto AI Researchers Propose InfiniteHiP: A Game-Changing Long-Context LLM Framework for 3M-Token Inference on a Single GPU
In large language models (LLMs), processing extended input sequences demands significant computational and memory resources, leading to slower inference and higher hardware costs. The attention ...
marktechpost3d
This AI Paper from IBM and MIT Introduces SOLOMON: A Neuro-Inspired Reasoning Network for Enhancing LLM Adaptability in Semiconductor Layout Design
Adapting large language models for specialized domains remains challenging, especially in fields requiring spatial reasoning and structured problem-solving, even though they specialize in complex ...
marktechpost4d
This AI Paper from Apple Introduces a Distillation Scaling Law: A Compute-Optimal Approach for Training Efficient Language Models
Language models have become increasingly expensive to train and deploy. This has led researchers to explore techniques such as model distillation, where a smaller student model is trained to replicate ...
marktechpost4d
How AI Chatbots Mimic Human Behavior: Insights from Multi-Turn Evaluations of LLMs
AI chatbots create the illusion of having emotions, morals, or consciousness by generating natural conversations that seem human-like. Many users engage with AI for chat and companionship, reinforcing ...
marktechpost6d
Step by Step Guide on How to Build an AI News Summarizer Using Streamlit, Groq and Tavily
In this tutorial, we will build an advanced AI-powered news agent that can search the web for the latest news on a given topic and summarize the results. This agent follows a structured workflow: To ...
marktechpost5d
Microsoft Research Introduces Data Formulator: An AI Application that Leverages LLMs to Transform Data and Create Rich Visualizations
Most modern visualization authoring tools like Charticulator, Data Illustrator, and Lyra, and libraries like ggplot2, and VegaLite expect tidy data, where every variable to be visualized is a column ...
marktechpost6d
Open O1: Revolutionizing Open-Source AI with Cutting-Edge Reasoning and Performance
The Open O1 project is a groundbreaking initiative aimed at matching the powerful capabilities of proprietary models, particularly OpenAI’s O1, through an open-source approach. By leveraging advanced ...
marktechpost7d
Meet OpenThinker-32B: A State-of-the-Art Open-Data Reasoning Model
Artificial intelligence has made significant strides, yet developing models capable of nuanced reasoning remains a challenge. Many existing models struggle with complex problem-solving tasks, ...
marktechpost6d
Can Users Fix AI Bias? Exploring User-Driven Value Alignment in AI Companions
Large language model (LLM)–based AI companions have evolved from simple chatbots into entities that users perceive as friends, partners, or even family members. Yet, despite their human-like ...
marktechpost7d
LIMO: The AI Model that Proves Quality Training Beats Quantity
Reasoning tasks are yet a big challenge for most of the language models. Instilling a reasoning aptitude in models, particularly for programming and mathematical applications that require solid ...
marktechpost6d
Can 1B LLM Surpass 405B LLM? Optimizing Computation for Small LLMs to Outperform Larger Models
Test-Time Scaling (TTS) is a crucial technique for enhancing the performance of LLMs by leveraging additional computational resources during inference. Despite its potential, there has been little ...
marktechpost7d
Stanford Researchers Introduce SIRIUS: A Self-Improving Reasoning-Driven Optimization Framework for Multi-Agent Systems
Multi-agent AI systems utilizing LLMs are increasingly adept at tackling complex tasks across various domains. These systems comprise specialized agents that collaborate, leveraging their unique ...