marktechpost2d
Mobile-Agent-E: A Hierarchical Multi-Agent Framework Combining Cognitive Science and AI to Redefine Complex Task Handling on Smartphones
Smartphones are essential tools in dAIly life. However, the complexity of tasks on mobile devices often leads to frustration and inefficiency. Navigating applications and managing multi-step processes ...
marktechpost4d
Snowflake AI Research Open-Sources SwiftKV: A Novel AI Approach that Reduces Inference Costs of Meta Llama LLMs up to 75% on Cortex AI
Large Language Models (LLMs) have become pivotal in artificial intelligence, powering a variety of applications from chatbots to content generation tools. However, their deployment at scale presents ...
marktechpost4d
SlideGar: A Novel AI Approach to Use LLMs in Retrieval Reranking, Solving the Challenge of Bound Recall
Out of the various methods employed in document search systems, “retrieve and rank” has gained quite some popularity. Using this method, the results of a retrieval model are re-ordered according to a ...
marktechpost4d
Enhancing Lexicon-Based Text Embeddings with Large Language Models
Lexicon-based embeddings are one of the good alternatives to dense embeddings, yet they face numerous challenges that restrain their wider adoption. One key problem is tokenization redundancy, whereby ...
marktechpost4d
Create Portrait Mode Effect with Segment Anything Model 2 (SAM2)
Have you ever admired how smartphone cameras isolate the main subject from the background, adding a subtle blur to the background based on depth? This “portrait mode” effect gives photographs a ...
marktechpost4d
What are Haystack Agents? A Comprehensive Guide to Tool-Driven NLP with Code Implementation
Modern NLP applications often demand multi-step reasoning, interaction with external tools, and the ability to adapt dynamically to user queries. Haystack Agents, an innovative feature of the Haystack ...
marktechpost5d
This AI Paper Introduces a Novel DINOv2-LLaVA Framework: Advanced Vision-Language Model for Automated Radiology Report Generation
The automation of radiology report generation has become one of the significant areas of focus in biomedical natural language processing. This is driven by the vast and exponentially growing medical ...
marktechpost5d
Step Towards Best Practices for Open Datasets for LLM Training
Large language models rely heavily on open datasets to train, which poses significant legal, technical, and ethical challenges in managing such datasets. There are uncertainties around the legal ...
marktechpost5d
Generative AI versus Predictive AI
AI and ML are expanding at a remarkable rate, which is marked by the evolution of numerous specialized subdomains. Recently, two core branches that have become central in academic research and ...
marktechpost5d
AutoCBT: An Adaptive Multi-Agent Framework for Enhanced Automated Cognitive Behavioral Therapy
Traditional psychological counseling, often conducted in person, remains limited to individuals actively seeking help for psychological concerns. In contrast, online automated counseling presents a ...
marktechpost6d
OmniThink: A Cognitive Framework for Enhanced Long-Form Article Generation Through Iterative Reflection and Expansion
LLMs have made significant strides in automated writing, particularly in tasks like open-domain long-form generation and topic-specific reports. Many approaches rely on Retrieval-Augmented Generation ...
marktechpost6d
SHREC: A Physics-Based Machine Learning Approach to Time Series Analysis
Reconstructing unmeasured causal drivers of complex time series from observed response data represents a fundamental challenge across diverse scientific domains. Latent variables, including genetic ...