Author: Kalev Leetaru

Experiments With Meta's SeamlessM4T Open Machine Translation Model: Social Media Posts

Experiments With Meta's SeamlessM4T Open Machine Translation Model: Government Publication Translations

WashPost: Debate Or Not, Fox News Is Still Trump Territory

Miami Herald: From Backbench Congressman To Debate Limelight: The Rise Of Ron DeSantis, Soundbite By Soundbite

Introducing Television News Monitoring For All: A New Pipeline For Instant Monitoring Of Breaking Global Events

LLM-Based Landscape Summarization Demos Coming Soon

Updated Donald Trump Airtime Analysis Coming Soon

GCP USM/Chirp ASR Tutorial Coming Next Week

New Television News Monitoring Workflow Coming Next Week

DOC 2.0 API + LLMs = Summarizing Headlines: Turkish Investment, Inflation & The Niger Coup

Extracting & Codifying Disease Outbreaks Using LLMs: Experiments With Bison, ChatGPT & Claude

How Are Africans Talking About Climate Change And Who Is Doing The Talking?

Visually Describing TV News Broadcasts Using Generative AI Image Captioning: Experiments With Google's New Imagen

How Putin's Victory Day Parade Was Covered On Television News

Experiments In Meme Tracking: Extracting Titles, Affiliations & Relationships

Understanding Hallucination In LLMs: A Brief Introduction

The Growing Trend & Vast Dangers Of Outsourcing Decisions To LLMs

OpenAI's ChatGPT Holding Steady On Business TV News Channels But Little Mention On Others

Experiments In Meme Tracking: Cataloging Stories According To UN SDGs

Experiments In Meme Tracking: Western Values In A Globalized World, Context & The Problem Of Naive Guardrails

Experiments In Meme Tracking: Cataloging & Classifying Memes By Conflict Enhancing Bias

Inflation Coverage Remains Elevated On Business Channels & Has Faded On General Channels

Experiments In Meme Tracking: Summarization Stability & Plagiarization

Experiments In Meme Tracking: Dividing Transcripts Into Stories – Part 4 & The Impact Of Capitalization, Punctuation & Hallucination

Experiments In Meme Tracking: Dividing Transcripts Into Stories – Part 3

NYTimes: How Trump Benefits From An Indictment Effect

Experiments In Meme Tracking: Dividing Transcripts Into Stories – Part 2

Experiments In Meme Tracking: Dividing Transcripts Into Stories – Part 1

Debiasing Semantic & Generative Search Results: New Risks For Companies

Why Is Generative AI Red Teaming & Debiasing So Poor? Do We Need To Rethink LLM Red Teaming?