Prompt Engineering

Name: Prompt Engineering
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Prompt Engineering with LangChain in Arabic

Korshub's take

A LangChain course in Arabic

The series teaches prompt engineering through LangChain and is taught in Arabic. It starts with introductory machine learning ideas and language model basics, moves to prompt templates and chatbots, and then covers output parsing and conversation memory.

Topics

Base versus instruction-tuned models, and tokenizers
Connecting to ChatGPT and using Hugging Face models
Few-shot learning with worked examples
Structured output with parsers, including Pydantic
Memory types such as buffer, summary and entity memory

Who it suits

Arabic-speaking developers who want to start with LangChain. Because the first chapter begins from the basics, the series can be followed as a first course in the subject. Because each lesson covers one idea, the series suits a steady pace, one topic at a time.

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About this course

Prompt Engineering using LangChain 🦜️🔗 [Arabic]

Videos in this playlist include:

E.1 | Prompt Engineering using LangChain 🦜️🔗 | About this course | Ch.1 | 1/6 [Arabic]
E.2 | Prompt Engineering using LangChain 🦜️🔗 | Intro to Machine Learning | Ch.1 | 2/6
E.3 | Prompt Engineering using LangChain 🦜️🔗 | Base and Instruction-Tuned LLM | Ch.1 | 3/6
E.4 | Prompt Engineering using LangChain 🦜️🔗 | Intro to Tokenizers | Ch.1 | 4/6
E.5 | Prompt Engineering using LangChain 🦜️🔗 | Why LangChain | Ch.1 | 5/6
E.6 | Prompt Engineering using LangChain 🦜️🔗 | Google Colab | Ch.1 | 6/6
E.7 | Prompt Engineering using LangChain 🦜️🔗 | Connect to ChatGPT | Ch.2 | 1/4
E.8 | Prompt Engineering using LangChain 🦜️🔗 | Using HuggingFace Models | Ch.2 | 2/4
E.9 | Prompt Engineering using LangChain 🦜️🔗 | Calculate Tokens | Ch.2 | 3/4
E.10 | Prompt Engineering using LangChain 🦜️🔗 | Hide your secrets using dotenv | Ch.2 | 4/4
E.11 | Prompt Engineering using LangChain 🦜️🔗 | Prompt Templates | Ch.3
E.12 | Prompt Engineering using LangChain 🦜️🔗 | Chatbots Schemes | Ch.4 1/2
E.13 | Prompt Engineering using LangChain 🦜️🔗 | Continuous Chatbots | Ch.4 2/2
E.14 | Prompt Engineering using LangChain 🦜️🔗 | Fewshot Learning Basics | Ch.5 1/3
E.15 | Prompt Engineering using LangChain 🦜️🔗 | Solving Riddles using Few Shot | Ch.5 2/3
E.15 | Prompt Engineering using LangChain 🦜️🔗 | Fewshot | Recipes Project | Ch.5 3/3
E.16 | Prompt Engineering using LangChain 🦜️🔗 | Output Parser | Listing | Ch.6 1/3
E.17 | Prompt Engineering using LangChain 🦜️🔗 | Custom Output Parser | Listing | Ch.6 2/3
E.18 | Prompt Engineering using LangChain 🦜️🔗 | PyDantic Magic Parser | Listing | Ch.6 6/3
E.19 | Prompt Engineering using LangChain 🦜️🔗 | Memory Introduction | Ch.7 1/8
E.20 | Prompt Engineering using LangChain 🦜️🔗 | Conversation Buffer | Ch.7 2/8
E.21 | Prompt Engineering using LangChain 🦜️🔗 | Window Buffer | Ch.7 3/8
E.22 | Prompt Engineering using LangChain 🦜️🔗 | Summary Memeory | Ch.7 4/8
E.23 | Prompt Engineering using LangChain 🦜️🔗 | Entities Memory | Ch.7 5/8
E.24 | Prompt Engineering using LangChain 🦜️🔗 | Memory Types | Ch.7 6/8

…and 13 more videos.

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