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At Evidently AI, we are building tools to evaluate, test and monitor LLM and ML-powered systems.

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Joined December 25, 2020
166,681 total views

Videos

Open-source LLM tracing, evals and prompt optimization with Evidently
15:55
Open-source LLM tracing, evals and prompt optimization with Evidently

509 views

10mo ago

8. Tutorial: Adversarial testing for LLM applications
13:24
8. Tutorial: Adversarial testing for LLM applications

1,000 views

1y ago

7. Tutorial: Building and evaluating an AI agent
17:35
7. Tutorial: Building and evaluating an AI agent

965 views

1y ago

6.2. Tutorial: Building and evaluating a RAG system
16:13
6.2. Tutorial: Building and evaluating a RAG system

1,400 views

1y ago

6.1 How to evaluate a RAG system: methods and metrics
7:08
6.1 How to evaluate a RAG system: methods and metrics

4,300 views

1y ago

5. Tutorial: Evaluating LLMs on content generation tasks. Tracing and experiments.
26:01
5. Tutorial: Evaluating LLMs on content generation tasks. Tracing and experiments.

957 views

1y ago

4. Tutorial: Evaluating LLMs on classification tasks
19:01
4. Tutorial: Evaluating LLMs on classification tasks

1,300 views

1y ago

3. Tutorial: How to create an LLM judge and align with human labels
24:24
3. Tutorial: How to create an LLM judge and align with human labels

2,900 views

1y ago

2.3. Tutorial on LLM evaluation methods: Reference-free evals.
14:07
2.3. Tutorial on LLM evaluation methods: Reference-free evals.

1,700 views

1y ago

2.2. Tutorial on LLM evaluation methods: Reference-based evals.
10:26
2.2. Tutorial on LLM evaluation methods: Reference-based evals.

1,900 views

1y ago

2.1. Tutorial on LLM evaluation methods. Overview and Basic API.
10:13
2.1. Tutorial on LLM evaluation methods. Overview and Basic API.

3,300 views

1y ago

1. Introduction to LLM evaluations in 10 key ideas
11:43
1. Introduction to LLM evaluations in 10 key ideas

6,600 views

1y ago

Course: LLM evaluation for builders

Evidently AI
LLM evaluation for builders - Course announcement
1:43
LLM evaluation for builders - Course announcement

5,400 views

1y ago

Evidently AI
1. Introduction to LLM evaluations in 10 key ideas
11:43
1. Introduction to LLM evaluations in 10 key ideas

6,600 views

1y ago

Evidently AI
2.1. Tutorial on LLM evaluation methods. Overview and Basic API.
10:13
2.1. Tutorial on LLM evaluation methods. Overview and Basic API.

3,300 views

1y ago

Evidently AI
2.2. Tutorial on LLM evaluation methods: Reference-based evals.
10:26
2.2. Tutorial on LLM evaluation methods: Reference-based evals.

1,900 views

1y ago

Evidently AI
2.3. Tutorial on LLM evaluation methods: Reference-free evals.
14:07
2.3. Tutorial on LLM evaluation methods: Reference-free evals.

1,700 views

1y ago

Evidently AI
3. Tutorial: How to create an LLM judge and align with human labels
24:24
3. Tutorial: How to create an LLM judge and align with human labels

2,900 views

1y ago

Evidently AI
4. Tutorial: Evaluating LLMs on classification tasks
19:01
4. Tutorial: Evaluating LLMs on classification tasks

1,300 views

1y ago

Evidently AI
5. Tutorial: Evaluating LLMs on content generation tasks. Tracing and experiments.
26:01
5. Tutorial: Evaluating LLMs on content generation tasks. Tracing and experiments.

957 views

1y ago

Evidently AI
6.1 How to evaluate a RAG system: methods and metrics
7:08
6.1 How to evaluate a RAG system: methods and metrics

4,300 views

1y ago

Evidently AI
6.2. Tutorial: Building and evaluating a RAG system
16:13
6.2. Tutorial: Building and evaluating a RAG system

1,400 views

1y ago

Evidently AI
7. Tutorial: Building and evaluating an AI agent
17:35
7. Tutorial: Building and evaluating an AI agent

965 views

1y ago

Evidently AI
8. Tutorial: Adversarial testing for LLM applications
13:24
8. Tutorial: Adversarial testing for LLM applications

1,000 views

1y ago

LLM evaluation course

Evidently AI
Welcome to the LLM evaluation course
1:32
Welcome to the LLM evaluation course

7,700 views

1y ago

Evidently AI
What is an LLM-powered product?
3:08
What is an LLM-powered product?

3,100 views

1y ago

Evidently AI
LLM evaluation benchmarks
3:07
LLM evaluation benchmarks

3,100 views

1y ago

Evidently AI
How to evaluate an LLM application
6:00
How to evaluate an LLM application

3,900 views

1y ago

Evidently AI
LLM evaluation datasets: test cases and synthetic data
6:06
LLM evaluation datasets: test cases and synthetic data

3,300 views

1y ago

Evidently AI
LLM evaluation methods and metrics
5:10
LLM evaluation methods and metrics

9,500 views

1y ago

Evidently AI
LLM-as-a-judge: evaluating LLMs with LLMs
5:41
LLM-as-a-judge: evaluating LLMs with LLMs

10,000 views

1y ago

Evidently AI
How to run LLM evals with no code | PRACTICE
12:27
How to run LLM evals with no code | PRACTICE

3,100 views

1y ago

Evidently AI
LLM safety and red-teaming
5:11
LLM safety and red-teaming

1,500 views

1y ago

Evidently AI
LLM observability in production: tracing and online evals
5:09
LLM observability in production: tracing and online evals

1,400 views

1y ago

Evidently AI
AI agent and RAG evaluation
6:05
AI agent and RAG evaluation

1,500 views

1y ago

Evidently AI
A business case for LLM evaluations
4:06
A business case for LLM evaluations

958 views

1y ago

Open-Source ML Observability Course

Evidently AI
1.1. ML lifecycle. What can go wrong with ML in production?
5:48
1.1. ML lifecycle. What can go wrong with ML in production?

3,900 views

2y ago

Evidently AI
1.2. What is ML monitoring and observability?
8:12
1.2. What is ML monitoring and observability?

2,200 views

2y ago

Evidently AI
1.3. ML monitoring metrics. What exactly can you monitor?
5:15
1.3. ML monitoring metrics. What exactly can you monitor?

1,800 views

2y ago

Evidently AI
1.4. Key considerations for ML monitoring setup.
9:23
1.4. Key considerations for ML monitoring setup.

1,400 views

2y ago

Evidently AI
1.5. ML monitoring architectures.
10:31
1.5. ML monitoring architectures.

1,500 views

2y ago

Evidently AI
2.1. How to evaluate ML model quality.
5:00
2.1. How to evaluate ML model quality.

1,500 views

2y ago

Evidently AI
2.2. Overview of ML quality metrics. Classification, regression, ranking.
25:22
2.2. Overview of ML quality metrics. Classification, regression, ranking.

1,300 views

2y ago

Evidently AI
2.3. Evaluating ML model quality. [CODE PRACTICE].
22:50
2.3. Evaluating ML model quality. [CODE PRACTICE].

1,500 views

2y ago

Evidently AI
2.4. Data quality in machine learning.
8:33
2.4. Data quality in machine learning.

1,200 views

2y ago

Evidently AI
2.5. Data quality in ML. [CODE PRACTICE].
19:00
2.5. Data quality in ML. [CODE PRACTICE].

1,000 views

2y ago

Evidently AI
2.6. Data and prediction drift in ML.
16:35
2.6. Data and prediction drift in ML.

1,100 views

2y ago

Evidently AI
2.7. Deep dive into data drift detection. [OPTIONAL]
23:06
2.7. Deep dive into data drift detection. [OPTIONAL]

1,200 views

2y ago

Popular videos

LLM-as-a-judge: evaluating LLMs with LLMs
5:41
LLM-as-a-judge: evaluating LLMs with LLMs

10,000 views

1y ago

LLM evaluation methods and metrics
5:10
LLM evaluation methods and metrics

9,500 views

1y ago

Welcome to the LLM evaluation course
1:32
Welcome to the LLM evaluation course

7,700 views

1y ago

Evidently 0.2 - Getting Started Tutorial
18:20
Evidently 0.2 - Getting Started Tutorial

6,700 views

3y ago

1. Introduction to LLM evaluations in 10 key ideas
11:43
1. Introduction to LLM evaluations in 10 key ideas

6,600 views

1y ago

Machine Learning Monitoring: What Is Data Drift?
3:06
Machine Learning Monitoring: What Is Data Drift?

6,000 views

5y ago

Machine Learning Monitoring: What Is Concept Drift?
5:10
Machine Learning Monitoring: What Is Concept Drift?

5,500 views

5y ago

LLM evaluation for builders - Course announcement
1:43
LLM evaluation for builders - Course announcement

5,400 views

1y ago

ML monitoring with Evidently. A tutorial from CS 329S: Machine Learning Systems Design.
41:02
ML monitoring with Evidently. A tutorial from CS 329S: Machine Learning Systems Design.

4,600 views

4y ago

6.1 How to evaluate a RAG system: methods and metrics
7:08
6.1 How to evaluate a RAG system: methods and metrics

4,300 views

1y ago

How to use Evidently in Jupyter Notebook to evaluate data and prediction drift in ML models
10:04
How to use Evidently in Jupyter Notebook to evaluate data and prediction drift in ML models

4,100 views

5y ago

1.1. ML lifecycle. What can go wrong with ML in production?
5:48
1.1. ML lifecycle. What can go wrong with ML in production?

3,900 views

2y ago