filmov
tv
🔥🔥 #deepeval - #LLM Evaluation Framework | Theory & Code
Показать описание
Hello, I am Neeraj Mahapatra,
Today we are going to learn about #deepeval framework.
DeepEval is a simple-to-use, open-source LLM evaluation framework. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that runs locally on your machine for evaluation.
Whether your application is implemented via RAG or fine-tuning, LangChain or LlamaIndex, DeepEval has you covered. With it, you can easily determine the optimal hyperparameters to improve your RAG pipeline, prevent prompt drifting, or even transition from OpenAI to hosting your own Llama2 with confidence.
Time Stamps:-
00:00-Intro
#deepeval #llm #genai #llmapp #llmevaluationframework
Hope you like this video...
Please SUBSCRIBE, LIKE AND COMMENT...
Share to show Support..
Support us !!!.....Thanks....❤
Today we are going to learn about #deepeval framework.
DeepEval is a simple-to-use, open-source LLM evaluation framework. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that runs locally on your machine for evaluation.
Whether your application is implemented via RAG or fine-tuning, LangChain or LlamaIndex, DeepEval has you covered. With it, you can easily determine the optimal hyperparameters to improve your RAG pipeline, prevent prompt drifting, or even transition from OpenAI to hosting your own Llama2 with confidence.
Time Stamps:-
00:00-Intro
#deepeval #llm #genai #llmapp #llmevaluationframework
Hope you like this video...
Please SUBSCRIBE, LIKE AND COMMENT...
Share to show Support..
Support us !!!.....Thanks....❤
0:09:05
How to Setup DeepEval for Fast, Easy, and Powerful LLM Evaluations
0:19:59
🔥🔥 #deepeval - #LLM Evaluation Framework | Theory & Code
0:06:36
LLM Evaluation using DeepEval
0:01:42
Evaluating the Output of Your LLM (Large Language Models): Insights from Microsoft & LangChain
0:00:31
Deepeval LLM evaluation intro | #hacking_ai on #Twitch
0:06:30
deepeval llm evaluation framework theory code
0:36:10
LangSmith Tutorial - LLM Evaluation for Beginners
0:40:35
Testing Framework Giskard for LLM and RAG Evaluation (Bias, Hallucination, and More)
0:05:18
LLM Evaluation Basics: Datasets & Metrics
0:08:45
Evaluate LLMs - RAG
0:37:21
Session 7: RAG Evaluation with RAGAS and How to Improve Retrieval
1:33:15
LIVE Recording | Testing an LLM | Exploring Tools for Testing LLMs | Part 2 - DeepEval
0:18:49
LLM Evaluation With MLFLOW And Dagshub For Generative AI Application
0:25:59
Testing an LLM | Exploring Tools For Testing LLMs | Part 2
0:19:14
Learn to Evaluate LLMs and RAG Approaches
1:02:12
How to Build, Evaluate, and Iterate on LLM Agents
0:04:17
LLM Explained | What is LLM
0:41:05
Deep dive: Generative AI Evaluation Frameworks
0:08:50
RAGAs- A Framework for Evaluating RAG Applications
0:00:43
Top 3 Open-Source Tools for Evaluating Your LLM: Automate AI Quality Checks!
0:29:51
Advanced LLM Evaluation: Synthetic Data Generation
0:21:33
Testing LLMs or AI chatbots using Deepeval
0:08:38
RAGAS: How to Evaluate a RAG Application Like a Pro for Beginners
0:50:42
How to evaluate an LLM-powered RAG application automatically.
Комментарии