Mastering Prompt Engineering for AI (Google Gemini Pro)

*Description:*
Stop getting confusing or useless AI responses! This prompt engineering tutorial will transform how you interact with LLMs like ChatGPT & Google Gemini Pro. Using LangChain & Google Gemini Pro, we'll cover the following:

- *Formatting prompts for clarity*
- *Specificity for the best results*
- *Step-by-step breakdowns*
- *How to prevent AI 'hallucinations'*
- *And more!*

Level up your AI skills today - like, *subscribe*, and let's get started!.

⚙️ *Jupyter Notebook used in this tutorial:*
1. *Jupyter Notebook:*

⚙️ *Related YouTube Tutorials:*
1. *Unleash Google Gemini: A Comprehensive LangChain Tutorial*
2. *Building a Question Answering / Chat Application Using OpenAI, Pinecone, & LangChain:*

⚙️ *Github Projects:*
1. *Chat With Wikipedia (Streamlit Project)*
2. *Build your own Wikipedia Chatbot with Streamlit & LangChain:*
3.* LangChain Tutorials:*

⚙️ *Medium Articles:*
1.*LangChain Tutorials:*

*TIMESTAMPS:*
00:06 Intro
01:21 Principles & Guidelines
02:40 Requirements
08:39 Writing Clear Instructions
14:26 Be Specific, Descriptive, and Detailed
20:03 Specify the response format
24:03 Few-Shot Prompting
27:05 Specify the steps required to complete a task
30:17 Give Models Time to "Think"
33:45 Avoid "Hallucinations"

⚡️ *Social Media:*

⚙️ *Links:*

#AI #ArtificialIntelligence #ImageAnalysis #ComputerVision #MachineLearning #GoogleAI #Tech #Innovation #GeminiProVision #GoogleGemini #Tutorial #HowTo #LearnAI#ConversationalAI #GenerativeAI #LLM #LargeLanguageModel #NLP #promptengineering #tutorial #aitechnology #technology #innovation #contentcreator #contentcreator #geminipro #gemini #geminiai #langchain #summarization

[atefataya]

⚙ Jupyter Notebook used in this tutorial:
1. Jupyter Notebook:

[ahassan]

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