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Bert from Sesame Street as the NLP champion, standing victorious over defeated LLM robots

Beating BERT? Small LLMs vs Fine-Tuned Encoders for Classification

I ran 32 experiments comparing small LLMs to BERT on classification tasks. Turns out 2018-era BERT is still really good at what it does.

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I ran 32 experiments comparing small LLMs to BERT on classification tasks. Turns out 2018-era BERT is still really good at what it does.

Beating BERT? Small LLMs vs Fine-Tuned Encoders for Classification

I ran 32 experiments comparing small LLMs to BERT on classification tasks. Turns out 2018-era BERT is still really good at what it does.

Beating BERT? Small LLMs vs Fine-Tuned Encoders for Classification.md

2026-01-04
I ran 32 experiments comparing small LLMs to BERT on classification tasks. Turns out 2018-era BERT is still really good at what it does.
Extraction Generation Classification

A Production Framework for LLM Feature Evaluation

An empirical analysis of LLM application patterns that successfully scale in production systems, focusing on extraction, generation, and classification use cases

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An empirical analysis of LLM application patterns that successfully scale in production systems, focusing on extraction, generation, and classification use cases

A Production Framework for LLM Feature Evaluation

An empirical analysis of LLM application patterns that successfully scale in production systems, focusing on extraction, generation, and classification use cases

A Production Framework for LLM Feature Evaluation.md

2025-06-01
An empirical analysis of LLM application patterns that successfully scale in production systems, focusing on extraction, generation, and classification use cases
RAG

RAG: From Context Injection to Knowledge Integration

A technical dive into the limitations of current RAG approaches, examining architectural challenges and exploring pathways to more integrated knowledge-aware LLM architectures.

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A technical dive into the limitations of current RAG approaches, examining architectural challenges and exploring pathways to more integrated knowledge-aware LLM architectures.

RAG: From Context Injection to Knowledge Integration

A technical dive into the limitations of current RAG approaches, examining architectural challenges and exploring pathways to more integrated knowledge-aware LLM architectures.

RAG: From Context Injection to Knowledge Integration.md

2025-02-17
A technical dive into the limitations of current RAG approaches, examining architectural challenges and exploring pathways to more integrated knowledge-aware LLM architectures.
CheeseGPT logo and interface

CheeseGPT

A (Very) Simple RAG Tutorial

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A (Very) Simple RAG Tutorial

CheeseGPT

A (Very) Simple RAG Tutorial

CheeseGPT.md

2023-03-14
A (Very) Simple RAG Tutorial