Tag Archive: Large Language Models

Basics of Instruction Tuning with OLMo 1B

Large Language Models (LLMs) are trained on vast corpora of text, giving them impressive language comprehension and generation capabilities. However, this training does not inherently provide them with the ability to directly answer questions or follow instructions. To achieve this,... View article

Combine and Query Multiple Documents with an “LLM”

Large Language Models (LLMs) are popular for personal projects, but how can we use them in production? One of the immediate use cases that stands out is using an LLM like GPT to query your documents. It’s not enough to query one document; instead, we need to query multiple documents. LlamaIndex and Milvus can help us get started in a Jupyter Notebook.... View article

Fine Tuning vs. Prompt Engineering Large Language Models

Author: Niels Bantilan When to manipulate the input prompt and when to roll up your sleeves and update parameter weights. Chances are you’ve already interacted in some way with a Large Language Model (LLM): either through a hosted interface like ChatGPT, HuggingChat and Bard,... View article