Opinion

LLMs Can Now Talk in Real-Time with Minimal Latency: Chinese Researchers Release LLaMA-Omni2, a Scalable Modular Speech Language Model

AI Paper Summary
Researchers at the Institute of Computing Technology, Chinese Academy of Sciences, have introduced LLaMA-Omni2, a family of speech-capable large language models (SpeechLMs) now available on Hugging Face. This research introduces a modular framework that enables real-time...

Implementing an AgentQL Model Context Protocol (MCP) Server

Agentic AI
AgentQL allows you to scrape any website with unstructured data by defining the exact shape of the information you want. It gives you consistent, structured results—even from pages with dynamic content or frequently changing layouts. In this...

From GenAI Demos to Production: Why Structured Workflows Are Essential

Alex Strick van Linschoten - 0
At technology conferences worldwide and on social media, generative AI applications demonstrate impressive capabilities: composing marketing emails, creating data visualizations, or writing functioning code....

A New Citibank Report/Guide Shares How Agentic AI Will Reshape Finance...

Sana Hassan - 0
In its latest 'Agentic AI Finance & the ‘Do It For Me’ Economy' report, Citibank explores a significant paradigm shift underway in financial services:...

DeepSeek’s Latest Inference Release: A Transparent Open-Source Mirage?

Asif Razzaq - 0
DeepSeek’s recent update on its DeepSeek-V3/R1 inference system is generating buzz, yet for those who value genuine transparency, the announcement leaves much to be...

Are Autoregressive LLMs Really Doomed? A Commentary on Yann LeCun’s Recent...

Yam Marcovitz - 0
Yann LeCun, Chief AI Scientist at Meta and one of the pioneers of modern AI, recently argued that autoregressive Large Language Models (LLMs) are...

Back to Human: AI’s Journey from Code to Cuddles

Christophe Pennetier - 0
In the rapidly evolving landscape of artificial intelligence (AI), we stand at a crossroads that demands a pivotal shift in our approach. The current...

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