TRANSMISSIONS // EVENT_HORIZON

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Transmissions

3 Dispatches from the engineering frontier — Deep dives, insights, and explorations

ACTIVE_FILTERS:CATEGORY: MACHINE LEARNING×CLEAR_ALL

CATEGORIES:ALL_SYSTEMS AI ENGINEERING DATA ENGINEERING MACHINE LEARNING LLMS SOFTWARE ENGINEERING DEVOPS ARCHITECTURE RESEARCH

Fine-Tuning LLMs on Consumer Hardware: A Pragmatic LoRA and PEFT Guide

MACHINE LEARNING

schedule 3 MIN

Fine-Tuning LLMs on Consumer Hardware: A Pragmatic LoRA and PEFT Guide

Running a 70B parameter model on a single consumer GPU used to be a pipe dream. A couple of years ago, you needed a cluster of A100s just to move the weights around. Today, betw...

2026-05-31READ_MOREarrow_forward

Optimizing Embedding Dimension Reductions for Fast Retrieval and Low Storage

MACHINE LEARNING

schedule 4 MIN

Optimizing Embedding Dimension Reductions for Fast Retrieval and Low Storage

When I started scaling my vector search infrastructure last year, I hit a wall. We were stuffing 1536-dimensional OpenAI embeddings into a managed vector database, and the cost ...

2025-09-18READ_MOREarrow_forward

Fine-Tuning Embedding Models for Domain-Specific Vector Retrieval

MACHINE LEARNING

schedule 4 MIN

Fine-Tuning Embedding Models for Domain-Specific Vector Retrieval

Standard pre-trained embedding models like text-embedding-3-small or general-purpose BERT variants are impressive, but they often stumble when your data lives in a niche silo. I...

2025-05-13READ_MOREarrow_forward