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E.28 | Prompt Engineering using LangChain πŸ¦œοΈπŸ”— | QnA/RAG | extractive and generative QnA | Ch.8 2/8
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Prompt Engineering - E.28 | Prompt Engineering using LangChain πŸ¦œοΈπŸ”— | QnA/RAG | extractive and generative QnA | Ch.8 2/8

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Prompt Engineering E.28 | Prompt Engineering using LangChain πŸ¦œοΈπŸ”— | QnA/RAG | extractive and generative QnA | Ch.8 2/8

E.28 | Prompt Engineering using LangChain πŸ¦œοΈπŸ”— | QnA/RAG | extractive and generative QnA | Ch.8 2/8 Transcript and Lesson Notes

In this video, we will learn all about developing Questioning and Answering and Retrieval Augmented Generation (RAG) apps using LLMs and LangChain Lecture: 8 Lesson: 2/8

Quick Summary

In this video, we will learn all about developing Questioning and Answering and Retrieval Augmented Generation (RAG) apps using LLMs and LangChain Lecture: 8 Lesson: 2/8

Key Takeaways

  • Review the core idea: In this video, we will learn all about developing Questioning and Answering and Retrieval Augmented Generation (RAG) apps using LLMs and LangChain Lecture: 8 Lesson: 2/8
  • Understand how e.28 fits into E.28 | Prompt Engineering using LangChain πŸ¦œοΈπŸ”— | QnA/RAG | extractive and generative QnA | Ch.8 2/8.
  • Understand how prompt fits into E.28 | Prompt Engineering using LangChain πŸ¦œοΈπŸ”— | QnA/RAG | extractive and generative QnA | Ch.8 2/8.
  • Understand how engineering fits into E.28 | Prompt Engineering using LangChain πŸ¦œοΈπŸ”— | QnA/RAG | extractive and generative QnA | Ch.8 2/8.
  • Understand how using fits into E.28 | Prompt Engineering using LangChain πŸ¦œοΈπŸ”— | QnA/RAG | extractive and generative QnA | Ch.8 2/8.

Key Concepts

Full Transcript

In this video, we will learn all about developing Questioning and Answering and Retrieval Augmented Generation (RAG) apps using LLMs and LangChain Lecture: 8 Lesson: 2/8

Lesson FAQs

What is E.28 | Prompt Engineering using LangChain πŸ¦œοΈπŸ”— | QnA/RAG | extractive and generative QnA | Ch.8 2/8 about?

In this video, we will learn all about developing Questioning and Answering and Retrieval Augmented Generation (RAG) apps using LLMs and LangChain Lecture: 8 Lesson: 2/8

What key concepts are covered in this lesson?

The lesson covers e.28, prompt, engineering, using, langchain.

What should I learn before E.28 | Prompt Engineering using LangChain πŸ¦œοΈπŸ”— | QnA/RAG | extractive and generative QnA | Ch.8 2/8?

Review the previous lessons in Prompt Engineering, then use the transcript and key concepts on this page to fill any gaps.

How can I practice after this lesson?

Practice by applying the main concepts: e.28, prompt, engineering, using.

Does this lesson include a transcript?

Yes. The full transcript is visible on this page in indexable HTML sections.

Is this lesson free?

Yes. CourseHive lessons and courses are available to learn online for free.

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