10 libraries for developing any AI app in Python (with code examples!)

In this video, we are talking about tools and Python libraries that you need to develop powerful industry-standard LLM applications. We are covering libraries to generate structured outputs from LLMs - like PydanticAI, to services like OpenRouter for model routing, LiteLLM for loadbalancing, and more! This is a must-watch for developers looking to kickstart their first LLM projects and industry pros building with this technology. Follow on Twitter: https://x.com/neural_avb To join our Patreon, visit:   / neuralbreakdownwithavb   Buy me a coffee - https://ko-fi.com/neuralavb Patreon members get access to EVERYTHING behind-the-scenes that go into producing my videos. Plus, it supports the channel in a big way and helps to pay my bills. Useful videos: Retrieval Augmented Genration (RAGs) -    • A guide to building Retrieval Augmented Ge...   Finetuning Language Models -    • Finetune LLMs to teach them ANYTHING with ...   DSPy -    • Complete DSPy Tutorial - Master LLM Prompt...   Pytorch playlist -    • My projects   An article from 2023 about vector DBs (probably outdated) https://benchmark.vectorview.ai/vecto... Timestamps: 0:00: Intro 0:53 - Structured Outputs 4:33 - Routing to different LLMs 5:59 - Load balancing 10:20 - Monitoring and Logging 12:21- Parsing and Chunking 13:28 - Vector Databases 14:32 - Web Search 15:48 - Deep Learning and Model Training 17:10 - Deployment #ai #developer