Guide to Talking Assistants With LangChain : Faster Calls, Smarter Tools, Clear Steps

Build a LangChain voice agent using a sandwich-style pipeline, targeting 250–750 ms replies and VAD, so conversations stay ...
BMJ Open

Sleep problems and associated risk factors among physicians in Bangladesh: a protocol for systematic review and meta-analysis of observational cross-sectional studies

Introduction Sleep problems are an escalating global health concern, with prevalence estimates ranging from 8.3% to 45%. Physicians are disproportionately affected, with rates around 44% compared with ...

For the First Time, AI Analyzes Language as Well as a Human Expert

If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?
IEEE

Large Language Models in Transportation: A Comprehensive Bibliometric Analysis of Emerging Trends, Challenges, and Future Research

Abstract: This paper presents a comprehensive review and bibliometric analysis of Large Language Models (LLMs) in transportation, exploring emerging trends, challenges and future research.
IEEE

Enhancing Sentiment Analysis in Amharic: Leveraging Transformer-Based Language Model for Low-Resource African Languages

Abstract: One of the most extensively researched applications in natural language processing (NLP) is sentiment analysis. While the majority of the study focuses on high-resource languages (e.g., ...
GitHub

sefineh-ai/Amharic-Tokenizer

This version includes a pretrained model (amh_bpe_v0.2.6) that can be used immediately without any additional setup and training.