sitek94 / ai-devs2

My repo for the second edition of AI Devs

AI Devs 2

My repo for the second edition of AI Devs.

Progress

API Exercises	Prompt Exercises	Quizzes	Certificate
			Certificate

Exercises

Chapter/Lesson	Name	Topics
C01L01	helloapi	Intro to AI Devs API
C01L04	moderation	OpenAI Moderation API
C01L04	blogger	Langchain + output parsers; ensuring correct format of response
C01L05	liar	Guard mechanism for LLM response
C02L02	inprompt	LLM response based on dynamic context
C02L03	embedding	OpenAI Embedding API
C02L04	whisper	OpenAI Whisper API
C02L05	functions	OpenAI Functions Calling
C03L01	rodo	Placeholders in prompts to improve privacy
C03L02	scraper	Scrape article and use it as dynamic context + guard mechanism
C03L03	whoami	Build dynamic context during consecutive API calls
C03L04	search	Vector DB + similarity search
C03L05	people	Vector DB + similarity search + Traditional DB == dynamic context
C04L01	knowledge	Choosing tool to call based on input
C04L02	tools	Intent detection
C04L03	gnome	OpenAI Vision API - image recognition
C04L04	ownapi	Dedicated backend for your AI assistant; experiments with ngrok
C04L05	ownapiapi	Extended ownapi with keeping conversation context
C05L01	meme	Generating a meme using RenderForm API
C05L02	optimaldb	Summarizing facts about people to optimize DB
C05L03	google	Searching Google using SerpAPI to provide GPT with dynamic context
C05L04	md2html	Fine-tuning of GPT-3.5 Turbo for converting Markdown to HTML

Getting started

# Install dependencies
bun install

# Create env file and fill it with your data
cp .env.example .env

# Generate new exercise file
bun new helloapi
bun new people --dir # (create directory for exercise)

# Run exercises (works for both single file and directory)
bun ex helloapi      # Runs ./exercises/helloapi.ts
bun ex google        # Runs ./exercises/google/google.ts
bun ex google/server # Runs ./exercises/google/server.ts

Debugging

Activate debug mode and enable detailed logging by setting these variables in your .env file:

# Enable verbose output
LANGCHAIN_VERBOSE=true

# Activate enhanced tracing
LANGCHAIN_TRACING_V2=true

Vector databases

I'm using Qdrant for exercises with Vector Databases. You can run it locally using Docker:

# Pull docker image and run it
docker pull qdrant/qdrant
docker run -p 6333:6333 -v $(pwd)/qdrant_storage:/qdrant/storage qdrant/qdrant

Resources

• Prompts examples when working with dates