Prompt Engineering with LangChain
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Harpreet Sahota
5:21:33
73 View
01 - Create powerful LLM driven applications.mp4
00:54
01 - What are language models.mp4
04:54
01 - How do language models generate text.mp4
06:13
02 - Base LLMs vs. instruction-tuned LLMs.mp4
07:49
03 - Training, fine-tuning, and in-context learning.mp4
05:02
04 - Prompt engineering.mp4
05:35
01 - What is LangChain.mp4
04:54
02 - LangChain overview.mp4
04:52
03 - Model IO Interface with language models.mp4
20:16
04 - Retrieval Interface with application-specific data.mp4
13:35
05 - Chains Construct sequences of calls.mp4
15:13
06 - Agents Let chains choose tools based on high-level directives.mp4
11:04
07 - Memory Persist application state between runs of a chain.mp4
08:16
01 - Prompt basics.mp4
02:27
02 - Principles and tactics for prompting.mp4
07:40
01 - Introduction to prompt templates.mp4
06:31
02 - Multi-input prompt templates.mp4
05:09
03 - Chat prompt template.mp4
05:20
04 - Serializing prompts.mp4
02:52
05 - Zero-shot prompts.mp4
05:28
06 - Custom prompt templates.mp4
07:41
07 - Prompt pipelining.mp4
05:49
08 - Chat prompt pipelining.mp4
03:21
09 - Prompt composition.mp4
04:40
10 - Few-shot prompt templates.mp4
08:01
11 - Few-shot prompt templates for chat.mp4
05:10
12 - Introduction to example selectors.mp4
02:56
13 - Length-based example selector.mp4
03:09
14 - Max marginal relevance example selector.mp4
04:47
15 - N-gram overlap example selector.mp4
05:25
16 - Semantic similarity example selector.mp4
02:50
17 - Partial prompt templates.mp4
04:19
01 - Chain of thought.mp4
08:33
02 - Self-consistency.mp4
06:12
03 - Self-ask.mp4
11:39
04 - ReAct.mp4
07:30
05 - RAG.mp4
18:11
06 - FLARE.mp4
08:42
07 - Plan and execute.mp4
11:46
01 - Prompt management.mp4
03:05
02 - LangSmith.mp4
02:21
03 - LangSmith walkthrough.mp4
06:50
04 - Prompt versioning in LangSmith.mp4
08:58
05 - LangSmith deep dive.mp4
08:34
06 - Managing prompt length for agents.mp4
06:16
01 - Applications of language models.mp4
04:59
02 - The LLM landscape.mp4
05:45
Description
This course provides a comprehensive yet concise introduction to LangChain, a powerful framework for large language model (LLM) applications. Starting with the basics of LLMs, instructor Harpreet Sahota explores the key features and capabilities of LangChain, showing you how to integrate it with various systems and gain hands-on experience in building practical applications. Whether you're a seasoned developer or a beginner, this course will equip you with a solid foundation in LangChain, setting the stage for more advanced topics and applications.
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Harpreet Sahota
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Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
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- language english
- Training sessions 47
- duration 5:21:33
- English subtitles has
- Release Date 2024/07/27
