Few-Shot Text Classification with Scikit-LLM
Leveraging Scikit-LLM for one of the simplest yet most practical text classification tasks utilized in the modern AI landscape: few-shot classification.
KDnuggets6 min read
Language Models
20 stories
Building a RAG Pipeline with LLM Embeddings and Scikit-learn
In this article, you will learn how to build a lightweight, end-to-end RAG pipeline using scikit-learn for vector retrieval and open-source models for embeddings and...
Machine Learning Mastery Blog7 min readHow to Fine-Tune Llama 3 for Custom Tool Calling with Unsloth in Python
Llama 3 is a capable generalist, but that's exactly the problem when you need an agent that reliably outputs structured JSON for a specific API.
Machine Learning Mastery Blog8 min readEvaluating Graph-RAG vs. Standard RAG: A Hallucination Benchmark on Fact-Dense Queries
In this article, you will learn how to benchmark a deterministic 3-Tiered Graph-RAG system against a standard vector RAG pipeline on fact-dense queries, and what...
Machine Learning Mastery Blog5 min read5 Proven Techniques for Token Compression and Prompt Optimization
Reduce costs, improve response quality, and build leaner AI applications with these prompt engineering strategies.
KDnuggets6 min readAdding Temporal Reasoning to Graph-RAG: Tracking Fact Freshness and Staleness
In this article, you will learn how to add a lightweight temporal reasoning layer to a Graph-RAG system so that it can distinguish fresh facts...
Machine Learning Mastery Blog6 min readOllama for Managing Local Language Models: A KDnuggets Cheat Sheet
Ollama pulls model weights, keeps an HTTP server on port 11434, and hands any client an OpenAI-shaped endpoint pointed at your own machine. Learn how to manage, configure, and optimize using Ollama right here.
KDnuggets3 min readSuperWhisper s1-mini: The 600M Parameter Model Built Just for Transcription
This is a summary of, and insights into, what I found digging into the recently-released Superwhisper S1 family of voice-to-text models.
KDnuggets8 min readAutomating Knowledge Graph Population: Extracting Entities and Triples from Unstructured Text with an LLM
In this article, you will learn how to automatically extract structured knowledge from raw text and populate a knowledge graph with SPOC quads using a...
Machine Learning Mastery7 min readGemini 3.5 Transcribe vs OpenAI’s GPT-Transcribe
Here's how each got to where it is, a real use case and working code for both, and a side-by-side on the numbers that actually matter.
KDnuggets6 min readBatching by Length Instead of Looping Item by Item for SLM Optimization
We finish off our short series on SLM optimization with the third entry, focused on batching by length instead of looping item by item.
KDnuggets13 min readRAG vs. Fine-Tuning for Domain Adaptation: When to Use Which
In this article, you will learn the mechanical difference between retrieval-augmented generation and fine-tuning, when each technique is the right tool, and how to decide...
Machine Learning Mastery11 min readMonitoring Embedding Drift in Production Scikit-LLM Pipelines
In this article, you will learn what embedding drift is, why it matters for production large language models, and how to implement two practical techniques...
Machine Learning Mastery7 min readBuild And Understand a Vector Database From Scratch in 10 Easy Steps
In this article, you will learn how a vector database works under the hood by building one from scratch in ten incremental steps using Python...
Machine Learning Mastery10 min readMultilingual Text Classification with Scikit-LLM and Multilingual Embeddings
In this article, you will learn how to build a multilingual text classification pipeline using multilingual large language model (LLM) embeddings and Scikit-learn, without training...
Machine Learning Mastery6 min readLLMs Count Digits, Not Store a Number Line
Constraint tests on how language models represent numerical magnitude.
oioi Blog5 min readTokenizers Are All We Need
A grounded walkthrough of tokenization and its impact on model behavior.
oioi Blog8 min read
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