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Natural Language Processing

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

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Milvus Adventures November 15, 2024
Cover image for 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
Cover image for 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
Cover image for 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
Day 24: Gradient Accumulation

Day 24: Gradient Accumulation

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2 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
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?
Cover image for 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
Day 22: Distributed Training in Large Language Models

Day 22: Distributed Training in Large Language Models

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3 min read
Copilot, Cursor, and Tongyi Lingma: Who's Your Ultimate Coding Assistant?
Cover image for 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
Retrieval-Augmented Generation (RAG) in LLMs

Retrieval-Augmented Generation (RAG) in LLMs

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3 min read
GPT-2 and GPT-3: The Evolution of Language Models

GPT-2 and GPT-3: The Evolution of Language Models

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4 min read
A Beginner's Guide to Text Embedding Using BERT with MediaPipe
Cover image for 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
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