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
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 ...
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 ...
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
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 ...
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 ...
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 ...
marktechpost6d
Meta AI Introduces CoCoMix: A Pretraining Framework Integrating Token Prediction with Continuous Concepts
The dominant approach to pretraining large language models (LLMs) relies on next-token prediction, which has proven effective in capturing linguistic patterns. However, this method comes with notable ...
marktechpost4d
TransMLA: Transforming GQA-based Models Into MLA-based Models
Large Language Models (LLMs) have gained significant importance as productivity tools, with open-source models increasingly matching the performance of their closed-source counterparts. These models ...
marktechpost5d
ByteDance Introduces UltraMem: A Novel AI Architecture for High-Performance, Resource-Efficient Language Models
Large Language Models (LLMs) have revolutionized natural language processing (NLP) but face significant challenges in practical applications due to their large computational demands. While scaling ...