Thinking in the FUTURE of AI
Popular AI
Since 2012
Popular AI
TEXT GENERATION
- ChatGPT: The Leading AI model
- Gemini: Google's competetor to ChatGPT
- Llama 3: Best AI open source model from Meta
- Claude 3: GPT competitor by Anthropic
- Perplexity: ChatGPT for research
- MM1: Apple's Large Language Model
- Titan: Amazon's LLM - Comes in Express & Premiere
- Grok: Elon Musk's OpenAI competitor
- CoPilot: Microsoft's Coding Assistant
- CodeWhisperer: Amazon's CoPilot Competetor
- Tabnine: Copilot competitor company
- Jasper: AI copilot for marketing
- Mistral AI: Open source text gen models
Popular AI
Generative Images
- Midjourney: Easy AI Image Generator
- Dall-E: OpenAI Image Generator
- Adobe Firefly: AI tool from Adobe
- Stable Diffusion: Best Image Generation
- Getty iStock: "Commercially Safe" generation
- Synthesia: AI text to video
- Sora: OpenAI text to video
- Runway: AI text-to-video
- Pika: AI Video Generator
Popular AI
OTHER POPULAR AI
- ElevenLabs: AI text-to-speech & voice clone
- Suno: AI music generator
- Voice.ai: AI voice changer
- AIMastering.com: AI Audio Mastering
- Lalal.AI: Remove instrument or voices from music
- Text to Speech and Speech to Text (Too many!)
ON Device
Object Detection
ON Device
NSFW JS
On Device
Tracking
On Device
Person Detection
ON Device
Face Detection
ON Device
Enjoy the Show
ON Device
Facial Recognition - For Nic Cage
ON Device
Face Mesh
ON Device
Makeup Try on
ON Device
Pose Detection
ON Device
Counting Exercises
ON Device
Scan Document
ON Device
Scan Document
- FIX ANGLES
- MAGIC ERASE
ON Device
LANGUAGE OPTIONS
ON Device
LANGUAGE OPTIONS
ON Device
LANGUAGE OPTIONS
THE FUTURE
A combination of AI models working in concert to give excellent customer experience.
Anything you could do if you were given enough instruction and examples, is something an AI could do for you.
Let's Do The Creativity Exercise!
WHY NEURAL?
Neural Synapses Are
- Densely connected
- Have varying thickness in connections (weights)
- Vary synapse size (bias)
- Need a certain amount of electricity to fire, or activation voltage.
Example Problem
XOR operation
A Simple Network
b = -5
a = σ
b = 15
a = σ
b = -15
w=10
w=-10
w=10
w=-10
w=10
w=10
A Simple Network
b = -5
a = σ
b = 15
a = σ
b = -15
a = σ
w=10
w=-10
w=10
w=-10
w=10
w=10
0
1
b = -5
a = σ
0.9933
(0 * 10)
+ (1 * 10)
+ -5
= 5
σ(5) = 0.9933
A Simple Network
b = -5
a = σ
b = 15
a = σ
b = -15
a = σ
w=10
w=-10
w=10
w=-10
w=10
w=10
0
1
0.9933
(0 * -10)
+ (1 * -10)
+ 15
= 5
σ(5) = 0.9933
b = 15
a = σ
0.9933
A Simple Network
b = -5
a = σ
b = 15
a = σ
b = -15
a = σ
w=10
w=-10
w=10
w=-10
w=10
w=10
0
1
0.9933
(0.9933 * 10)
+ (0.9933 * 10)
+ -15
= 4.866
σ(4.866) ≈ 0.9924
0.9933
b = -15
a = σ
0.9924
DONE!
GPU Speed
Is this the same as code?
Matrix Math
Linear Algebra
Congratulations
You Understand Inference of a Basic Neural Network
A Simple Network
b = -5
a = σ
b = 15
a = σ
b = -15
w=10
w=-10
w=10
w=-10
w=10
w=10
1
2
3
4
5
6
7
8
9
Parameters
HOW?
MAGIC PARAMETER NUMBERS!?
HOW?
MAGIC PARAMETER NUMBERS!?
Math From Scratch?
NO!
Let's See Some AI Training
https://playground.tensorflow.org/
Let's Build a Model
https://teachablemachine.withgoogle.com/
WHY SHOULD YOU NOT USE THIS IN PRODUCTION?
Let's Code!
https://github.com/tensorflow/tfjs-models
Let's Explore Data / Training
https://aisortinghat.com/
6. Let's LLM
Understand LLMs deeper
- Understand Generative AI
- Learn LLM Lingo
THE QUESTIONS
Gant Laborde
Thanks!
GantLaborde.com
Company: Infinite Red
