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Natural Language Processing

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

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Exploring Code Search with CodeBERT – First Impressions

Exploring Code Search with CodeBERT – First Impressions

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2 min read
Can English Replace Java? The Future of Programming in Plain Language

Can English Replace Java? The Future of Programming in Plain Language

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2 min read
PROJECT-991 ( MASH AI )

PROJECT-991 ( MASH AI )

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3 min read
Real-world Uses of Natural Language Processing (NLP) in the Business Sector

Real-world Uses of Natural Language Processing (NLP) in the Business Sector

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4 min read
How AI Smart Search Improves Nonprofit Disaster Response?

How AI Smart Search Improves Nonprofit Disaster Response?

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4 min read
🤖 Artificial Intelligence: Transforming the Future of Technology

🤖 Artificial Intelligence: Transforming the Future of Technology

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3 min read
The Future of Healthcare: How AI is Transforming Patient Care

The Future of Healthcare: How AI is Transforming Patient Care

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5 min read
Prompting for purchasing: Shopping lists & evaluation matrixes (Part 2)

Prompting for purchasing: Shopping lists & evaluation matrixes (Part 2)

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5 min read
Introduction to Hadoop:)

Introduction to Hadoop:)

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10 min read
textGrad: Automatic “Differentiation” via Text

textGrad: Automatic “Differentiation” via Text

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1 min read
Day 33 - ALBERT (A Lite BERT): Efficient Language Model

Day 33 - ALBERT (A Lite BERT): Efficient Language Model

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2 min read
ML Chapter 7: Natural Language Processing

ML Chapter 7: Natural Language Processing

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2 min read
Day 32 - Switch Transformers: Efficient Large-Scale Models

Day 32 - Switch Transformers: Efficient Large-Scale Models

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2 min read
Introducing InsightfulAI: Open-Source Machine Learning Templates for Everyone

Introducing InsightfulAI: Open-Source Machine Learning Templates for Everyone

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2 min read
Day 31: Longformer - Efficient Attention Mechanism for Long Documents

Day 31: Longformer - Efficient Attention Mechanism for Long Documents

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3 min read
Day:30 Reformer: Efficient Transformer for Large Scale Models

Day:30 Reformer: Efficient Transformer for Large Scale Models

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3 min read
Day 29: Sparse Transformers: Efficient Scaling for Large Language Models

Day 29: Sparse Transformers: Efficient Scaling for Large Language Models

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3 min read
PDF chat with source highlights

PDF chat with source highlights

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1 min read
A Deep Dive into Artificial Intelligence

A Deep Dive into Artificial Intelligence

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5 min read
Day 27: Regularization Techniques for Large Language Models (LLMs)

Day 27: Regularization Techniques for Large Language Models (LLMs)

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2 min read
Day 26: Learning Rate Schedules

Day 26: Learning Rate Schedules

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2 min read
Exploring ChatGPT's New Search Feature: A Powerful Tool for Real-Time Information

Exploring ChatGPT's New Search Feature: A Powerful Tool for Real-Time Information

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3 min read
One Model to Translate Them All

One Model to Translate Them All

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4 min read
Day 22: Distributed Training in Large Language Models

Day 22: Distributed Training in Large Language Models

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3 min read
Ethical Considerations in LLM Development and Deployment

Ethical Considerations in LLM Development and Deployment

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2 min read
Demo Proyek RAG untuk Spring Boot: Panduan Lengkap untuk Pengembang

Demo Proyek RAG untuk Spring Boot: Panduan Lengkap untuk Pengembang

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Day 36: Text Classification with LLMs

Day 36: Text Classification with LLMs

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Understanding the Evolution of Word Representation: Static vs. Dynamic Embeddings

Understanding the Evolution of Word Representation: Static vs. Dynamic Embeddings

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2 min read
Building a Simple Chatbot with Llama2 [Chat with Excel]

Building a Simple Chatbot with Llama2 [Chat with Excel]

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Day 28: Model Compression Techniques for Large Language Models (LLMs)

Day 28: Model Compression Techniques for Large Language Models (LLMs)

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Cosine Similarity Search on Vectors in Postgres with pgvector

Cosine Similarity Search on Vectors in Postgres with pgvector

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4 min read
How does Natural Language Processing (NLP) interact between people and technology?

How does Natural Language Processing (NLP) interact between people and technology?

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3 min read
Why is it impossible to revert vector to text?

Why is it impossible to revert vector to text?

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1 min read
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate

Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate

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1 min read
Understanding BERT Tokens: Tokenization and Its Role in NLP

Understanding BERT Tokens: Tokenization and Its Role in NLP

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3 min read
Discover Self-Supervised Learning for LLMs

Discover Self-Supervised Learning for LLMs

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14 min read
Day 37: Named Entity Recognition (NER) with LLMs

Day 37: Named Entity Recognition (NER) with LLMs

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3 min read
Implementing similarity search algotithms

Implementing similarity search algotithms

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2 min read
How AI Smart Search Can Streamline Volunteer Onboarding Process?

How AI Smart Search Can Streamline Volunteer Onboarding Process?

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5 min read
Questions Recognition System using NLP-BERT from Un-labeled Data

Questions Recognition System using NLP-BERT from Un-labeled Data

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6 min read
Exploring ELECTRA - Efficient Pre-training for Transformers

Exploring ELECTRA - Efficient Pre-training for Transformers

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4 min read
Milvus Adventures November 15, 2024

Milvus Adventures November 15, 2024

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3 min read
🌐 The Future of Language Processing with Retrieval-Augmented Generation (RAG) 🌐

🌐 The Future of Language Processing with Retrieval-Augmented Generation (RAG) 🌐

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1 min read
A Beginner's Guide to Text Embedding Using BERT with MediaPipe

A Beginner's Guide to Text Embedding Using BERT with MediaPipe

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2 min read
Criando um LLM do zero com Transformers

Criando um LLM do zero com Transformers

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3 min read
10 Key Components of Artificial Intelligence

10 Key Components of Artificial Intelligence

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4 min read
Natural Language Processing (NLP)

Natural Language Processing (NLP)

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1 min read
CommunityKG-RAG: Leveraging Community Structures in Knowledge Graph for Advanced RAG in Fact-Checking

CommunityKG-RAG: Leveraging Community Structures in Knowledge Graph for Advanced RAG in Fact-Checking

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1 min read
Challenges in Natural Language Processing: Overcoming the Complexities of Human Language

Challenges in Natural Language Processing: Overcoming the Complexities of Human Language

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7 min read
Amazon Comprehend for Text and Document Analysis

Amazon Comprehend for Text and Document Analysis

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I made LexioJS: a NLP library built in VanillaJS

I made LexioJS: a NLP library built in VanillaJS

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1 min read
Day 14 of GPT: Deep Dive into Generative Pre-trained Transformers

Day 14 of GPT: Deep Dive into Generative Pre-trained Transformers

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3 min read
From Moments to Milestones: Incremental Timeline Summarization Leveraging Large Language Models

From Moments to Milestones: Incremental Timeline Summarization Leveraging Large Language Models

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2 min read
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs

Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs

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1 min read
Day: 25 Optimizer Algorithms for Large Language Models (LLMs)

Day: 25 Optimizer Algorithms for Large Language Models (LLMs)

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3 min read
BERT: Revolutionizing Natural Language Processing

BERT: Revolutionizing Natural Language Processing

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3 min read
Day 24: Gradient Accumulation

Day 24: Gradient Accumulation

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2 min read
Basic Introduction to RAG using LangChain

Basic Introduction to RAG using LangChain

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3 min read
How AI Smart Search Delivers Contextual Results for Nonprofit Websites?

How AI Smart Search Delivers Contextual Results for Nonprofit Websites?

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6 min read
Copilot, Cursor, and Tongyi Lingma: Who's Your Ultimate Coding Assistant?

Copilot, Cursor, and Tongyi Lingma: Who's Your Ultimate Coding Assistant?

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5 min read
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