Embark on an engaging journey into the world of AI coding with Brian Pichman from the Evolve Project. This advanced track offers participants hands-on experiences in coding AI, blending theory with practice. Explore the latest games/gadgets/gizmos designed to educate and enhance skills in coding alongside AI. This session is perfect for those who are curious about what's it take to code AI and learn about cutting-edge developments in AI technology

1. AI Coding
Brian Pichman

2. Description
• Embark on an engaging journey into the
world of AI coding with Brian Pichman from
the Evolve Project. This advanced track
offers participants hands-on experiences in
coding AI, blending theory with practice.
Explore the latest games/gadgets/gizmos
designed to educate and enhance skills in
coding alongside AI. This session is perfect
for those who are curious about what's it
take to code AI and learn about cutting-edge
developments in AI technology

3. https://codepen.io/GeorgePark/pen/gKrVJe

4. AI Gadgets!

7. Miko

8. Luka

9. Finch

10. https://learn.birdbraintechnologies.com/artificial-intelligence/

12. Intelino

14. Marty

15. https://userguides.robotical.io/martyv2/userguides/martyblocks/machinelearning/image

16. CoDrone

17. Zumi

18. Kais Education

19. https://neal.fun/infinite-craft/

20. Deeper Brain
Dive

21. Resources We Need
• OpenAI API
• Webserver
• We won’t be working on webservers that need GPUs, as
we will leverage an API
• HuggingFace

23. Trained Data with Personalities
1.Temperature:
1.This controls the randomness of the model's responses.
2.Lower temperature (e.g., 0.0) means more predictable and
conservative responses.
3.Higher temperature (e.g., 1.0) makes responses more
creative and less predictable.
2.Frequency Penalty:
1.This reduces the model's likelihood of repeating the same
line of thought or content.
2.A higher frequency penalty discourages repetition.
3.A value of 0 means no penalty for repetition.
3.Presence Penalty:
1.This affects the likelihood of introducing new concepts or
topics in the response.
2.A higher presence penalty encourages the model to talk
about new things.
3.A value of 0 means no emphasis on new content.
Providing Context: You can include specific instructions
or context in your prompt. For example, "Act like a friendly
and knowledgeable assistant" sets a tone and character
for the model's responses.

24. https://huggingface.co/

26. https://labs.google/

27. Lets Look At Code
• ailab.libchalk.com/gameshow

30. https://github.com/features/copilot/

31. https://teachablemachine.withgoogle.com/

32. Questions
• bpichman@evolveproject
.org