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Build AI Apps with OpenSource LLM

Build AI Apps with OpenSource LLM

In this talk, Pratik will walk you through how he is using the open source LLMs to create AI enabled projects. The best part, everything you can replicate on your computer as well without any expensive API. Participants will learn to the AI project development life cycle.

Brief Outline:
What is LLM & How it Works
How to use LLM for your own project
Decide model
Host LLM
Project Walkthrough

Pratik Parmar

May 01, 2024
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Transcript

  1. Outline 01 02 03 Intro to GenAI and LLM Open-Source

    LLMs AI App components 3 04 LangChain 05 06 07 Superhero Bot Monitoring & Evaluate AI Apps PokeBot 08 Resources
  2. 10 Types of Gen AI Models Text-to-Text Text-to- Image Image-to-

    Text Image-to-3D Image/Video -to-3D - ChatGPT - Bard - LLama (Meta) - PaLM 2 - Claude - … - Midjourney - DALL-E 3 - Stable Diffusion - Muse - Imagen - Bard - ChatGPT - Flamingo - Visualart - Dream Fusion - Magic3D - CSM AI Text-to- Audio Text-to- Code Image-to- Science Text-to- Video Audio-to- Text - AutoLM - Jukebox - Codex - Alphacode - Galatica - Minerva - Runway - Cuebric - Phenaki - Whisper
  3. GenAI vs Predictive ML Data Labels Predictive ML Model Learns

    relationship between data and label Label Output Unstructured Content GenAI Model Learns pattern in unstructured content New Content Output
  4. LLM Provider Google Gemini / Vertex AI Hugging Face Inference

    API Ollama LMStudio MistralAI Inference API Azure Cloud AI API Cloudflare AI Workers
  5. SuperBot Chat with your favorite fictional character using AI. And

    I can bet, he won’t admit he’s batman.