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Arjun M3d ago • 4 min read
I Built a Multilingual Spam Detection Dataset with 149K+ Messages Across 23 Languages
Spam detection datasets are surprisingly bad once you move outside English. Most public datasets...
#data#machinelearning#nlp#showdev
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Krunal Kanojiya2d ago • 7 min read
Dual Encoder vs Cross-Encoder: Why Your RAG Pipeline Needs Both
My RAG pipeline looked fine on paper. Fast retrieval. Decent cosine scores. But when I tested it wit...
#nlp#python#rag#tutorial
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Riad2d ago • 15 min read
How LLMs Transform Writing Style: A Stylometric Experiment
How LLMs Transform Writing Style: A Stylometric Experiment Measuring stylistic drift in...
#machinelearning#python#nlp#opensource
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vyomanshi gohel4d ago • 2 min read
I Built Schedule Sensei & Pushed It to GitHub – Here's What's Inside (And I Need Your Help 👀)
Okay, so in my last post I talked about the idea behind Schedule Sensei – an Android app that...
#android#nlp#jetpackcompose#opensource
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Mervin2d ago • 2 min read
How I Built Semantic Discussion Clustering Without Embeddings (and Why It Was Good Enough)
The Problem I wanted to monitor discussions around products, bugs and trends across...
#machinelearning#nlp#showdev#sideprojects
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Ai developer22h ago • 2 min read
I Self-Hosted an AI Assistant: Lessons from 48 Hours of Debugging
I wanted a local AI assistant. Expected: 2 hours. Reality: 2 days of edge cases, broken dependencies...
#ai#machinelearning#llm#nlp
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Divesh Sankhla2d ago • 1 min read
Most expense trackers expect perfect English. But real users type in Hindi, Hinglish, mixed language, and natural conversation. So I built https://vitmora.com to understand the way people actually type.
...
#ai#nlp#productivity#showdev
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Sastra kasra1d ago • 1 min read
Hit 73% accuracy on the classifier, which is probably fine for now
So I finally got the topic classifier to a place where it doesn't actively embarrass me — 73%...
#ai#devjournal#machinelearning#nlp
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Kendrick B. Jung3d ago • 7 min read
Token Saving, and Caveman
Token Saving, and Caveman Introduction Caveman is getting a lot of hype these...
#ai#llm#nlp#tooling
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Charles Wu5d ago • 3 min read
When Your Database Agent Speaks Plain English
The OceanBase community just shipped agent Skills that turn natural language into OBD...
#agents#devops#opensource#nlp
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Goutam Sharma1d ago • 1 min read
# Starting My Journey into AI Research 🚀
Hello everyone! I am a 3rd year Computer Science student, and recently I started exploring the worl...
#ai#computervision#nlp#multimodalai
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Indumathi R3d ago • 2 min read
Day 8 - Sparse embedding - RAG
What is a sparse embedding ? The word sparse means thinly scattered or occurs in a small amount over...
#ai#nlp#rag#tutorial
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Indumathi R1d ago • 2 min read
Day 9 - Sparse embedding continued - RAG
In the previous post, we saw some basic methodologies under sparse embeddings. In that, term...
#machinelearning#nlp#rag#tutorial
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J Now5d ago • 2 min read
When 'I missed you' sounds like a business memo
The phrase 'I missed you today' has at least three versions in Japanese, and they don't feel the...
#devjournal#nlp#showdev#sideprojects
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Akhilesh1d ago • 14 min read
100. OpenAI API: Build With GPT-4 (Post 100: The Final Chapter)
Post 1 was Python variables. Post 100 is GPT-4. You've come from writing your first for loop to...
#deeplearning#nlp#llm#python
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Okoye Ndidiamaka1d ago • 4 min read
🤖 Natural Language Processing (NLP): How Intelligent Search and Recommendation Systems Understand Human Language
“The user typed a complete sentence… and the system understood exactly what they meant.” No exact.....
#datascience#machinelearning#ai#nlp
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Pulsebit News Sentiment API52m ago • 3 min read
Your Pipeline Is 26.4h Behind: Catching Film Sentiment Leads with Pulsebit
Your Pipeline Is 26.4h Behind: Catching Film Sentiment Leads with Pulsebit We recently...
#python#api#datascience#nlp
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Pulsebit News Sentiment API6h ago • 3 min read
Your Pipeline Is 9.2h Behind: Catching Business Sentiment Leads with Pulsebit
Your Pipeline Is 9.2h Behind: Catching Business Sentiment Leads with Pulsebit We recently...
#python#api#datascience#nlp
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Pulsebit News Sentiment API4d ago • 3 min read
Your Pipeline Is 28.7h Behind: Catching World Sentiment Leads with Pulsebit
Your model just missed a significant anomaly: a 24h momentum spike of +0.597. This uptick reveals a....
#python#api#datascience#nlp
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Pulsebit News Sentiment API3d ago • 3 min read
Your Pipeline Is 19.7h Behind: Catching Software Sentiment Leads with Pulsebit
Your Pipeline Is 19.7h Behind: Catching Software Sentiment Leads with Pulsebit We've just...
#python#api#datascience#nlp
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Pulsebit News Sentiment API4d ago • 3 min read
Your Pipeline Is 27.0h Behind: Catching World Sentiment Leads with Pulsebit
Your pipeline has missed a critical anomaly: a 24h momentum spike of +0.360. This is not just a...
#python#api#datascience#nlp
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Pulsebit News Sentiment API6d ago • 3 min read
Your Pipeline Is 25.2h Behind: Catching Banking Sentiment Leads with Pulsebit
Your Pipeline Is 25.2h Behind: Catching Banking Sentiment Leads with Pulsebit We recently discovere...
#python#api#datascience#nlp
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Pulsebit News Sentiment API6d ago • 3 min read
Your Pipeline Is 24.3h Behind: Catching Finance Sentiment Leads with Pulsebit
Your Pipeline Is 24.3h Behind: Catching Finance Sentiment Leads with Pulsebit We recently...
#python#api#datascience#nlp
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Pulsebit News Sentiment API6d ago • 3 min read
Your Pipeline Is 26.3h Behind: Catching Finance Sentiment Leads with Pulsebit
Your Pipeline Is 26.3h Behind: Catching Finance Sentiment Leads with Pulsebit We recently...
#python#api#datascience#nlp
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