Llm - TechnoScripts

llm

Articles about large language models: how they work and how to use them from Python.

GenAI: Prompt Engineering, Techniques and Best Practices

You type a question into a large language model (LLM) and get back a wall of generic mush. Your coworker asks what looks like the same thing and gets a clean, structured answer. Same model, different prompt. Python prompt engineering is the craft of closing that gap: writing instructions that pull sharp, usable output from a model, then wiring them into real code. Think of the model as a brilliant new intern on their first day. Smart, fast, knows a ... Read More

NLP: BERT, GPT, and Modern Language Models

This BERT vs GPT comparison walks through the two architectures that shaped modern NLP (Natural Language Processing): BERT (an encoder that reads text bidirectionally to understand it) and GPT (a decoder that reads left to right to generate it). We line up their pre-training objectives, their attention patterns, and when to reach for each one, all with code you can run. “Language models are unsupervised multitask learners.” Alec Radford, OpenAI Last Updated: July 2026 | Tested on: Python 3.14.6, transformers ... Read More