What’s the difference between a Regulation and a Standard in automotive?
Many people use Regulations and Standards interchangeably but in automotive, they mean very different things.👇
youtube.com/shorts/bnEgHgwY0…
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When evaluating #RAG applications with #RAGAS, the concept of #GroundTruth comes up frequently but how are these reference answers created for testing purposes? 🤔
In this short video, we break down how ground truths are prepared.
youtu.be/Jk4Es-6G8qE
When evaluating #RAG applications with #RAGAS, a common question arises - what exactly counts as a good score, and is it always 1? 🤔
In this short video, we explain how #RAGASScoring works.
youtu.be/Gdyq2pvzv0g
When evaluating #RAG applications using #RAGAS, a common question comes up do we need a human to manually grade responses to get a score? 🤔
In this short video, we clarify how #RAGAS works.
youtu.be/7D36G8yKC10
Deploying #AgenticAI at scale comes with real operational costs but what are the primary ones to consider? 🤔
In this short video, we break down the key cost drivers involved in running #AIAgents.
youtu.be/KbJW0255FSY
AI agents often operate in iterative reasoning loops but what happens when they get stuck or fail unpredictably? 🤔
In this short video, we discuss common challenges in #AIAgents, such as infinite loops and unexpected failures.
youtu.be/G3O_jZYQVVc
Agentic workflows rely heavily on an #LLM’s ability to reason - but how does that reasoning actually work? 🤔
In this short video, we explore the difference between #ChainOfThought and more advanced approaches like #TreeOfThoughts.
youtu.be/qRNge3UFt_w
Trying to understand #ReinforcementLearning but finding it a bit abstract? 🤔
In this short explainer, we share simple and relatable examples that make RL easier to understand from everyday decision-making to real-world #AI applications.
youtu.be/cIXRnbJla9o
What is #SemiSupervisedLearning and why is it becoming so important in #MachineLearning?
In this quick explainer, we break down how ML models use a mix of labeled and unlabeled data, making learning faster, cheaper, and more efficient.
youtu.be/EI_RMJFiWtk
Machine learning models are everywhere - but how do we actually know if a model is good? 🤔
In this short video, we break down the key ways to evaluate ML performance, from accuracy and precision to real-world reliability.
youtu.be/2fl0rJR5yas
In this short video, we explore an important question in the world of #MachineLearning -
What unique role does a Data Scientist play compared to other tech roles?
Let’s dive in.
youtu.be/b5TXQeR5ekc