AI Development Directory In AI & Tech Tools

Estimate the cost of running an AI agent that makes multiple LLM calls per task.

Estimate the cost of training a model from dataset size, GPU type, and training duration.

Estimate the probability of AI-generated text detection from text length and watermark strength.

Calculate cost savings of batch vs real-time API inference from volume and latency tolerance.

Calculate what percentage of a model context window your prompt consumes.

Calculate GPU VRAM needed to run or fine-tune an LLM from parameter count and precision.

Estimate the cost of a prompt from system message, user input, and expected output length.

Calculate VRAM and speed improvements from model quantization (FP16, INT8, INT4, GPTQ, GGUF).

Calculate optimal chunk size and overlap for retrieval-augmented generation pipelines.

Count tokens in text for GPT, Claude, and Llama models using their specific tokenizers.