newsletterJuly 27, 2026·Towards Data Science

How I Reproduced BM25, Dense Retrieval, and SPLADE on a 16GB MacBook

A practical reproduction of three retrieval baselines, including the crashes, fixes, and score checks that matter for RAG systems. The post How I Reproduced BM25, Dense Retrieval, and SPLADE on a 16GB MacBook appeared first on Towards Data Science.

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How I Reproduced BM25, Dense Retrieval, and SPLADE on a 16GB MacBook

Key Takeaways

Related Articles

Could On-Policy Self-Distillation Revolutionize Post-Training?

Decision Models in Action: Build a Hybrid LLM Workflow

How to Turn Long-Running Python Simulations Into a Self-Service Platform

Spatial Reasoning in AI Models, Taken Apart

Discussion

How I Reproduced BM25, Dense Retrieval, and SPLADE on a 16GB MacBook

Key Takeaways

Related Articles

Could On-Policy Self-Distillation Revolutionize Post-Training?

Decision Models in Action: Build a Hybrid LLM Workflow

How to Turn Long-Running Python Simulations Into a Self-Service Platform

Spatial Reasoning in AI Models, Taken Apart

Discussion

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Could On-Policy Self-Distillation Revolutionize Post-Training?
Teaching foundation models new skills without breaking them is hard. A new reinforcement learning-based approach might have the power to change that. The post Could On-Policy Self-Distillation Revolutionize Post-Training? appeared first on Towards Data Science.

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Decision Models in Action: Build a Hybrid LLM Workflow
A hands-on guide to building browser automation by combining decision models with LLMs. The post Decision Models in Action: Build a Hybrid LLM Workflow appeared first on Towards Data Science.

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Spatial Reasoning in AI Models, Taken Apart
Grid puzzles that people solve almost perfectly show where language and vision models still break The post Spatial Reasoning in AI Models, Taken Apart appeared first on Towards Data Science.