Search Results for: chatgpt
Experiments In Meme Tracking: Cataloging Stories According To UN SDGs
Continuing our meme tracking series, let's look at how LLMs can be used to catalog stories according to their relevance…
Experiments In Meme Tracking: Western Values In A Globalized World, Context & The Problem Of Naive Guardrails
Continuing in our meme tracking series, let's explore using LLMs to catalog stories according to their expression of common forms…
Experiments In Meme Tracking: Cataloging & Classifying Memes By Conflict Enhancing Bias
Long before conflict becomes kinetic, narratives drive divisions within and between societies. Some narratives, especially those revolving around gender, racial,…
Experiments In Meme Tracking: Summarization Stability & Plagiarization
Continuing our meme tracking series, let's take a closer look at the general task of summarization/distillation for English language online…
Debiasing Semantic & Generative Search Results: New Risks For Companies
For more than six decades digital search has been based on the humble keyword. A search of a document database…
Just Who Is A CEO & How Do We Define Gender & Racial Bias In LLM Embedding Models?
Last week we explored just how devastatingly innate gender and racial bias is in both LLM generative models and LLM-based…
LLM Infinite Loops & Failure Modes: The Current State Of LLM Entity Extraction
Yesterday we demonstrated how when using LLMs for entity extraction, the addition of a single apostrophe to a source text…
Authoritative Human Vs NMT/LLM Translation & Embedding-Based Quality Rankings: NMT Skew
One of the more intriguing findings from our NMT vs LLM translation experiments has been the degree to which NMT…
LLM Translation Instability & Embedding-Based Ranking Of LLM & NMT Machine Translation: Part 2
Following in our series of LLM translation experiments and embedding-based quality rankings, let's look at another example of a Chinese…
Using Embedding Models To Rank LLM & NMT Machine Translations Of Chinese News & Social Posts By Quality
Last week we continued our explorations of LLMs as replacements for classical NMT for machine translation. A key challenge of…
What Universal Automated Adversarial LLM Attacks Tell Us About The Nature Of LLMs & Their Development
A fascinating new paper garnered attention last week by showing how fully automated approaches can be used to harvest adversarial…
No Vector Databases & Embeddings Don't Mitigate LLM Hallucination
As the enterprise world has begun to aggressively adopt LLMs into real-world workflows, the once-obscure and quickly dismissed challenge of…
Large-Token LLMs: Leveraging Anthropic's Claude 2's 100K Token Limit To Summarize An Entire Episode Of Russia's 60 Minutes
Earlier today we demonstrated the extraordinary power of Anthropic's Claude 2's 100,000 token limit to summarize and topically annotate into…
Large-Token LLMs: Leveraging Anthropic's Claude 2's 100K Token Limit To Summarize An Entire ABC Evening News TV News Broadcast In A Single Prompt
One of the greatest limitations of current LLMs, besides hallucination and instability, is their severe input limits: most common production…
Using Embeddings To Rank Clinical, "Creative" & "Inspired Fiction" Summaries Of An Evening News Broadcast
Earlier this month we demonstrated the use of embeddings to combat hallucination in LLM summarization and as a form of…
Complex & Ambiguous Phrasing, Re-Reading & LLMs' Inability To Conceptually Reason
Conceptually, LLM reasoning is a linear process, "confined to token-level, left-to-right decision-making processes during inference." This means that when confronted…
When Light Is Dark, Heavy Is Light & Expensive Is Cheap: The Challenges Of Generative Search & LLM Reasoning
As we continue to assess the state of generative search, here are a few interesting examples from a major commercial…
Using Embedding Ranking To Sort Generative Summaries By "Quality"
Earlier today we demonstrated how scoring LLM-based generative summaries by embedding-based similarity ranking to the original source material can filter…
Do LLM's Truly "Create" Or Merely "Arrange": Just How Much Of An LLM's Writing Is Original?
Continuing our exploration of generative plagiarism, just how much of the text created by a generative LLM is truly novel?…
Using Embedding Ranking To Combat LLM Hallucination In Generative Summarization: The ABC News Chinese Spy Balloon Story
One of the great challenges in using Large Language Models (LLMs) for summarization is their tendency towards confident hallucination, in…
Is "Generative Search" Actually "Plagiarism Search" Or Have Humans Already Written Every Possible Sentence?
Generative search is increasingly being portrayed as the future of how we search the web, in which embeddings and other…
Enriching Democracy: Connecting Our Nation's Legislation To The Legislative Process Via Deep Linking CSPAN
In collaboration with the Internet Archive's TV News Archive, over the past few months we have explored the concept of…
Entity Extraction: LLMs Versus Classical Neural Model + Live-Updating Knowledge Graph
Large language models are increasingly being positioned as a wholesale replacement for nearly all language analysis tasks, from Q&A and…
Generative AI: Using LLM's To Produce Audience-Tailored Translations In Place Of Classical NMT's One-Size-Fits-All
Last month we explored the ability of Large Language Models (LLMs) to produce higher-quality translations than traditional Neural Machine Translation…