Prompt Engineering
4.0
(1)
11 learners
What you'll learn
This course includes
- 6 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 38 lessons • 6 hours of video
Prompt Engineering
38 lessons
• 6 hours
Prompt Engineering
38 lessons
• 6 hours
- E.1 | Prompt Engineering using LangChain 🦜️🔗 | About this course | Ch.1 | 1/6 [Arabic] 01:41
- E.2 | Prompt Engineering using LangChain 🦜️🔗 | Intro to Machine Learning | Ch.1 | 2/6 05:50
- E.3 | Prompt Engineering using LangChain 🦜️🔗 | Base and Instruction-Tuned LLM | Ch.1 | 3/6 09:45
- E.4 | Prompt Engineering using LangChain 🦜️🔗 | Intro to Tokenizers | Ch.1 | 4/6 06:42
- E.5 | Prompt Engineering using LangChain 🦜️🔗 | Why LangChain | Ch.1 | 5/6 02:13
- E.6 | Prompt Engineering using LangChain 🦜️🔗 | Google Colab | Ch.1 | 6/6 00:44
- E.7 | Prompt Engineering using LangChain 🦜️🔗 | Connect to ChatGPT | Ch.2 | 1/4 04:43
- E.8 | Prompt Engineering using LangChain 🦜️🔗 | Using HuggingFace Models | Ch.2 | 2/4 13:05
- E.9 | Prompt Engineering using LangChain 🦜️🔗 | Calculate Tokens | Ch.2 | 3/4 03:08
- E.10 | Prompt Engineering using LangChain 🦜️🔗 | Hide your secrets using dotenv | Ch.2 | 4/4 02:51
- E.11 | Prompt Engineering using LangChain 🦜️🔗 | Prompt Templates | Ch.3 13:32
- E.12 | Prompt Engineering using LangChain 🦜️🔗 | Chatbots Schemes | Ch.4 1/2 13:04
- E.13 | Prompt Engineering using LangChain 🦜️🔗 | Continuous Chatbots | Ch.4 2/2 09:16
- E.14 | Prompt Engineering using LangChain 🦜️🔗 | Fewshot Learning Basics | Ch.5 1/3 11:23
- E.15 | Prompt Engineering using LangChain 🦜️🔗 | Solving Riddles using Few Shot | Ch.5 2/3 14:26
- E.15 | Prompt Engineering using LangChain 🦜️🔗 | Fewshot | Recipes Project | Ch.5 3/3 07:13
- E.16 | Prompt Engineering using LangChain 🦜️🔗 | Output Parser | Listing | Ch.6 1/3 12:00
- E.17 | Prompt Engineering using LangChain 🦜️🔗 | Custom Output Parser | Listing | Ch.6 2/3 03:50
- E.18 | Prompt Engineering using LangChain 🦜️🔗 | PyDantic Magic Parser | Listing | Ch.6 6/3 15:05
- E.19 | Prompt Engineering using LangChain 🦜️🔗 | Memory Introduction | Ch.7 1/8 03:07
- E.20 | Prompt Engineering using LangChain 🦜️🔗 | Conversation Buffer | Ch.7 2/8 13:03
- E.21 | Prompt Engineering using LangChain 🦜️🔗 | Window Buffer | Ch.7 3/8 04:03
- E.22 | Prompt Engineering using LangChain 🦜️🔗 | Summary Memeory | Ch.7 4/8 05:56
- E.23 | Prompt Engineering using LangChain 🦜️🔗 | Entities Memory | Ch.7 5/8 03:08
- E.24 | Prompt Engineering using LangChain 🦜️🔗 | Memory Types | Ch.7 6/8 00:23
- E.25 | Prompt Engineering using LangChain 🦜️🔗 | Memory Saving and Loading | Ch.7 7/8 09:22
- E.26 | Prompt Engineering using LangChain 🦜️🔗 | Memory Conclusion | Ch.7 8/8 01:40
- E.27 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | Intro | Ch.8 1/8 03:21
- E.28 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | extractive and generative QnA | Ch.8 2/8 02:55
- E.29 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | Closed & Open QnA | Ch.8 3/8 01:41
- E.30 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | NLP Vectors | Ch.8 4/8 08:49
- E.31 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | QnA Data Parsing | Ch.8 5/8 03:13
- E.32 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | QnA Data Indexing | Ch.8 6/8 02:25
- E.33 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | QnA Semantic Search | Ch.8 7/8 02:34
- E.34 | Prompt Engineering using LangChain 🦜️🔗 | QnA/RAG | Generate Answers | Ch.8 8/8 01:59
- E.35| Prompt Engineering using LangChain 🦜️🔗 | RAG Documents Loading and Chunking | Ch.9 1/3 58:45
- E.36 | Prompt Engineering using LangChain 🦜️🔗 | RAG Documents Embedding and Indexing | Ch.9 2/3 48:21
- E.37 | Prompt Engineering using LangChain 🦜️🔗 | RAG QnA Chains | Ch.9 3/3 47:57
