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Natural Language Processing

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

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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
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
Day 36: Text Classification with LLMs

Day 36: Text Classification with LLMs

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2 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
Milvus Adventures November 15, 2024

Milvus Adventures November 15, 2024

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3 min read
textGrad: Automatic “Differentiation” via Text

textGrad: Automatic “Differentiation” via Text

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1 min read
Criando um LLM do zero com Transformers

Criando um LLM do zero com Transformers

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3 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
Natural Language Processing (NLP)

Natural Language Processing (NLP)

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1 min read
Amazon Comprehend for Text and Document Analysis

Amazon Comprehend for Text and Document Analysis

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3 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
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
Day 28: Model Compression Techniques for Large Language Models (LLMs)

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

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2 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 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
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
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