Machine Learning

14 articles tagged with "Machine Learning"

Part 3: Predicting 'Non-Boring' Menus with LSTM Time Series Series

Part 3: Predicting 'Non-Boring' Menus with LSTM Time Series

Reframing meal planning as a text generation problem — using LSTM neural networks with temperature-controlled sampling to predict diverse, non-repetitive menus from historical meal sequences.

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Part 2: The Local GPU Challenge and Defeat -- Taking on an 8B Model with 6 GB of VRAM on the RTX 3060 Series

Part 2: The Local GPU Challenge and Defeat -- Taking on an 8B Model with 6 GB of VRAM on the RTX 3060

My first attempt at fine-tuning ELYZA Llama-3-JP-8B on a local RTX 3060 GPU, and the hard lessons learned about VRAM limitations when training large language models.

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Part 3: LoRA and Quantization Explained -- The Techniques That Make LLMs Lighter Series

Part 3: LoRA and Quantization Explained -- The Techniques That Make LLMs Lighter

A deep dive into LoRA, quantization, QLoRA, and SFTTrainer -- the key techniques that enable fine-tuning large language models on consumer hardware, validated through a Mount Fuji proof-of-concept experiment.

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Part 4: Stock Prediction on Colab -- Trial and Error with Three Models Series

Part 4: Stock Prediction on Colab -- Trial and Error with Three Models

Fine-tuning ELYZA 8B and LLM-jp 7.2B for stock price prediction on Google Colab, the accuracy challenges encountered, and why I ultimately pivoted to the OpenAI API.

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Part 6: Training Data Design -- How I Integrated Five Types of Data Series

Part 6: Training Data Design -- How I Integrated Five Types of Data

A detailed look at how I designed training data for stock price prediction, integrating company information, news, stock prices, financials, and macroeconomic indicators into a structured JSON format for LLM fine-tuning.

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