Natan Vidra

Founder and CEO of anote.ai, an artificial intelligence startup in New York City.

New York, NY, USA Joined on Mar 15, 2026 https://github.com/nv78/anote-ai

Education

Cornell University

Work

Founder / CEO of Anote

Natan Vidra

Mar 15

Why AI Systems Need Human Oversight

1 min read

Natan Vidra

Mar 15

What Is Agentic AI?

1 min read

Natan Vidra

Mar 15

What Is Retrieval-Augmented Generation?

1 min read

Natan Vidra

Mar 15

What Is Synthetic Data?

1 min read

Natan Vidra

Mar 15

AI Benchmarks vs Real-World Performance

#ai #machinelearning #performance #testing

1 min read

Natan Vidra

Mar 15

What Is Explainable AI and Why Do Users Care?

1 min read

Natan Vidra

Mar 15

Why AI Evaluation Should Be Continuous

1 min read

Natan Vidra

Mar 15

The Difference Between AI Demonstrations and AI Systems

#ai #machinelearning #softwareengineering #systemdesign

1 min read

Natan Vidra

Mar 15

Why Domain-Specific AI Often Outperforms General Models

#ai #llm #nlp #rag

1 min read

Natan Vidra

Mar 15

What Is AI Data Labeling and Why Does It Matter?

1 min read

Natan Vidra

Mar 15

What Is LLM Evaluation?

1 min read

Natan Vidra

Mar 15

Before You Deploy a Generative AI Workflow

#ai #llm #machinelearning #testing

1 min read

Natan Vidra

Mar 15

How to choose the right AI tool?

1 min read

Natan Vidra

Mar 15

From Raw Documents to Reliable AI Systems

1 min read

Natan Vidra

Mar 15

Agentic AI Needs Better Evaluation, Not Just Better Demos

#agents #ai #llm #testing

1 min read

Natan Vidra

Mar 15

What Makes an AI Benchmark Actually Useful?

#ai #machinelearning #performance #testing

1 min read

Natan Vidra

Mar 15

Zero-Shot vs Fine-Tuned Models: Which Should You Use?

#ai #llm #machinelearning #nlp

1 min read

Natan Vidra

Mar 15

Why LLM Evaluation Matters More Than Model Hype

1 min read

Natan Vidra

Mar 15

What Is Human-Centered AI?

#ai #design #machinelearning #ux

1 min read

Forem

Natan Vidra

Badges

Writing Debut

Skills/Languages

Currently hacking on

Why AI Systems Need Human Oversight

What Is Agentic AI?

What Is Retrieval-Augmented Generation?

What Is Synthetic Data?

AI Benchmarks vs Real-World Performance

What Is Explainable AI and Why Do Users Care?

Why AI Evaluation Should Be Continuous

The Difference Between AI Demonstrations and AI Systems

Why Domain-Specific AI Often Outperforms General Models

What Is AI Data Labeling and Why Does It Matter?

What Is LLM Evaluation?

Before You Deploy a Generative AI Workflow

How to choose the right AI tool?

From Raw Documents to Reliable AI Systems

Agentic AI Needs Better Evaluation, Not Just Better Demos

What Makes an AI Benchmark Actually Useful?

Zero-Shot vs Fine-Tuned Models: Which Should You Use?

Why LLM Evaluation Matters More Than Model Hype

What Is Human-Centered AI?