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How do you choose from a million (and growing) models for artificial intelligence?

How do you explain those choices to your team and its stakeholders?

How do you make responsible decisions when most models have no documentation, making evaluation difficult, subjective, and expensive?

nLyze Ai Depth Chart™

nLyze introduces a new way to look at artificial intelligence.

Literally.

For millenia, people have used the North Star to navigate physical space. It's easy to find, and easy to use.

Today, the visuals used by data scientists are complex, like the UMAP below. Each map is different, each time you render it.

We created the Depth Chart to provide a "North Star" to the broad stakeholders of artificial intelligence.

Qwen_Qwen3-14B-GGUF

Qwen_Qwen3-14B-IQ4_XS.gguf

bartowski

HuggingFace

Current approaches for looking at models are random, slow, and subjective.

Look at a Depth Chart versus T-SNE (another common map in data science). Refresh or turn this page and look again.

Qwen3-14B-Q4_K_M-GGUF

qwen3-14b-q4_k_m.gguf

spacematt

HuggingFace

Introducing the Ai Depth Chart™

Unlike traditional visualizations, the Depth Chart has a "North Star" to help you compare different models or model versions.

Our groundbreaking effort studies how models interpret core concepts of cybersecurity. Using Depth Charts, you can see how each model converts an Ai prompt into a concept.

Ai Depth Charts are a visual map of a model's concepts. To test our approach, we performed the first large-scale observational study of 50,000 machine learning models used in Ai.

Augmental-Shuffled-Merged

augmental-shuffled-merged-q5km.gguf

Heralax

HuggingFace

2023-Nov

Scroll down to check out the most-downloaded 100 models. It can take a few seconds to load the data.

Want to know more?
You can reach our team at
info@nlyze.com.

How do you choose from a million (and growing) models for artificial intelligence?

How do you explain those choices to your team and its stakeholders?

How do you make responsible decisions when most models have no documentation, making evaluation difficult, subjective, and expensive?

nLyze Ai Depth Chart™

nLyze introduces a new way to look at artificial intelligence. Literally.

For millenia, people have used the North Star to navigate physical space. It's easy to find, and easy to use.

Today, the visuals used by data scientists are complex, like the UMAP below. Each map is different, each time you render it. We created the Depth Chart to provide a "North Star" to the broad stakeholders of artificial intelligence.

Qwen_Qwen3-14B-GGUF

Qwen_Qwen3-14B-IQ4_XS.gguf

bartowski

Current approaches for looking at models are random, slow, and subjective. Look at a Depth Chart versus T-SNE (another common map in data science). Refresh or turn this page and look again.

Qwen3-14B-Q4_K_M-GGUF

qwen3-14b-q4_k_m.gguf

spacematt

Introducing the Ai Depth Chart™

Unlike traditional visualizations, the Depth Chart has a "North Star" to help you compare different models or model versions.

Our groundbreaking effort studies how models interpret core concepts of cybersecurity. Using Depth Charts, you can see how each model converts an Ai prompt into a concept.

Ai Depth Charts are a visual map of a model's concepts. To test our approach, we performed the first large-scale observational study of 50,000 machine learning models used in Ai.

Augmental-Shuffled-Merged

augmental-shuffled-merged-q5km.gguf

Heralax

Scroll down to check out the most-downloaded 100 models. It can take a few seconds to load the data. Want to know more? You can reach our team at info@nlyze.com.

nLyze introduces a new way to look at artificial intelligence.

Literally.

Today, the visuals used by data scientists are complex, like the UMAP below. Each map is different, each time you render it.

We created the Depth Chart to provide a "North Star" to the broad stakeholders of artificial intelligence.

Current approaches for looking at models are random, slow, and subjective.

Look at a Depth Chart versus T-SNE (another common map in data science). Refresh or turn this page and look again.

Scroll down to check out the most-downloaded 100 models. It can take a few seconds to load the data.

Want to know more?
You can reach our team at
info@nlyze.com.