rag

18 results for “rag”

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Research

Feb 05, 2025

Are LLMs Actually Thinking?

2 min read

Inference

Jan 30, 2025

LPUs and What They Do That GPUs Do Not

3 min read

Experiments

Dec 18, 2024

Fine-Tuning Large Language Models: PEFT, LoRA, and QLoRA in Practice

3 min read

Evaluation

Nov 25, 2024

Document Question-Answering with Pinecone and Gemini

2 min read

Engineering

Nov 10, 2024

npm, Yarn, and pnpm: What Actually Differs

3 min read

Evaluation

Oct 28, 2024

How Retrieval-Augmented Generation Works

4 min read

Research

Oct 22, 2024

Explainable AI: Opening the Black Box with SHAP and LIME

3 min read

Career

Aug 28, 2024

Winning Without Sixes: What Bradman's 99.94 Says About Consistency

2 min read

Embeds your question in your browser and ranks the archive by cosine similarity — the pipeline this post describes. Downloads a ~30 MB model the first time.

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rag

Results

Are LLMs Actually Thinking?

LPUs and What They Do That GPUs Do Not

Fine-Tuning Large Language Models: PEFT, LoRA, and QLoRA in Practice

Document Question-Answering with Pinecone and Gemini

npm, Yarn, and pnpm: What Actually Differs

How Retrieval-Augmented Generation Works

Explainable AI: Opening the Black Box with SHAP and LIME

Winning Without Sixes: What Bradman's 99.94 Says About Consistency

rag

Results

Are LLMs Actually Thinking?

LPUs and What They Do That GPUs Do Not

Fine-Tuning Large Language Models: PEFT, LoRA, and QLoRA in Practice

Document Question-Answering with Pinecone and Gemini

npm, Yarn, and pnpm: What Actually Differs

How Retrieval-Augmented Generation Works

Explainable AI: Opening the Black Box with SHAP and LIME

Winning Without Sixes: What Bradman's 99.94 Says About Consistency