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Natural Language Processing

NLP is Natural Language Processing the technology behind Home assistants and search engines.

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Debugging Voice Search: When NLP Fails Your Digital Identity (And How Knowledge Graphs Fix It)

Debugging Voice Search: When NLP Fails Your Digital Identity (And How Knowledge Graphs Fix It)

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4 min read
Wikipedia as a Linguistic Dataset?

Wikipedia as a Linguistic Dataset?

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3 min read
Picking the longest answer scores 43% on OpenBookQA and ~chance on ARC: a per-benchmark length-shortcut census

Picking the longest answer scores 43% on OpenBookQA and ~chance on ARC: a per-benchmark length-shortcut census

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4 min read
LLM Research Blog: The Model that Fits our Project

LLM Research Blog: The Model that Fits our Project

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4 min read
LLM Model!!!

LLM Model!!!

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2 min read
Exploring Other Large Language Models for Improving Kinyarwanda Text Generation

Exploring Other Large Language Models for Improving Kinyarwanda Text Generation

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6 min read
Is 'neutral is the hardest NLI label' true in every text domain? Splitting ANLI's verifier agreement by (genre, class)

Is 'neutral is the hardest NLI label' true in every text domain? Splitting ANLI's verifier agreement by (genre, class)

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4 min read
LLM Research Blog: The Model That Fits My Kinyarwanda-to-English Translation Project

LLM Research Blog: The Model That Fits My Kinyarwanda-to-English Translation Project

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6 min read
Exploring Open-Source Large Language Models for InkMind: Choosing a Better Poetry Continuation Model

Exploring Open-Source Large Language Models for InkMind: Choosing a Better Poetry Continuation Model

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6 min read
# Finding the Right Model: Translating Kinyarwanda to English with Open-Source Language Models

# Finding the Right Model: Translating Kinyarwanda to English with Open-Source Language Models

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5 min read
Improving InkMind: Selecting an Open Large Language Model for AI-Powered Poetry Generation

Improving InkMind: Selecting an Open Large Language Model for AI-Powered Poetry Generation

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9 min read
Large Language Model- Models worth considering to improve our project.

Large Language Model- Models worth considering to improve our project.

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3 min read
Day 39: T5 and the Text-to-Text Framework

Day 39: T5 and the Text-to-Text Framework

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5 min read
# Beyond TinyGPT and GPT-2: Finding the Right LLM for The Poem Generation Project ✍️🤖

# Beyond TinyGPT and GPT-2: Finding the Right LLM for The Poem Generation Project ✍️🤖

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6 min read
Swahili Has 200 Million Speakers. Here Is Why AI Gets It Wrong.

Swahili Has 200 Million Speakers. Here Is Why AI Gets It Wrong.

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2 min read
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