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 ...
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 ...
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 ...
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 ...
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 ...
marktechpost6d
Swarm: A Comprehensive Guide to Lightweight Multi-Agent Orchestration for Scalable and Dynamic Workflows with Code Implementation
Handoffs enable one Agent to pass control to another seamlessly. This allows specialized Agents to handle tasks better suited to their capabilities. # python agent_b ...
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 ...
marktechpost6d
Google AI Proposes a Fundamental Framework for Inference-Time Scaling in Diffusion Models
Generative models have revolutionized fields like language, vision, and biology through their ability to learn and sample from complex data distributions. While these models benefit from scaling up ...
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 ...
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 ...
marktechpost7d
Meet OmAgent: A New Python Library for Building Multimodal Language Agents
Understanding long videos, such as 24-hour CCTV footage or full-length films, is a major challenge in video processing. Large Language Models (LLMs) have shown great potential in handling multimodal ...
marktechpost7d
Stanford Researchers Introduce BIOMEDICA: A Scalable AI Framework for Advancing Biomedical Vision-Language Models with Large-Scale Multimodal Datasets
The development of VLMs in the biomedical domain faces challenges due to the lack of large-scale, annotated, and publicly accessible multimodal datasets across diverse fields. While datasets have been ...