LLMs

Operate large language models responsibly. Learn prompting, fine-tuning, distillation, evaluation, safety, latency, cost control, caching, and observability. Build pipelines that turn models into dependable products.

Articles

How to Reduce the Cost of Using LLM APIs

Mahesh Chand

1.1k

0 100 Article

LLMs: Why Modern LLMs Like GPT Are Decoder-Only

John Godel

Sep 02

6.5k

0 100 Article

LLMs: How You Can Keep Your Job Next 5 Years by Mastering Them

John Godel

Sep 01

0 100 Article

AI in Practice: LLMs, Transformers, Weights, and Embeddings/Vectors — An In-Depth Builder’s Guide

John Godel

Aug 28

2.8k

0 100 Article

A Deep Dive into LLMs Using GSCP (Gödel’s Scaffolded Cognitive Prompting)

John Godel

Aug 20

549

0 100 Article

Building Traceable and Auditable LLM Workflows with GSCP

John Godel

Aug 20

611

0 100 Article

Eliminating LLM Hallucinations with Prompt Engineering Powered by GSCP

John Godel

Aug 20

604

0 100 Article

How Do Large Language Models Work? A Deep Dive into LLM AI

Baibhav Kumar

Aug 19

927

0 100 Article

LLM Observability: Why It Matters and How to Implement It

Mahesh Chand

Aug 19

773

0 100 Article

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