AI Reasoning Models and Future Implication Notes

Reasoning Models and AI Interaction

• Reasoning models enable AI to think through problems, not just provide quick answers.
• Resources can be uploaded to AI systems, allowing users to interact with and question the AI directly.

Screen Sharing and AI Guidance

• Tools like Google AI Studio allow screen sharing with AI for guidance.
• AI can guide users in real-time by viewing their screen and providing instructions.
• Example: AI guiding a user to find the memory feature in ChatGPT.

AI Capabilities and Examples

• AI can identify objects via webcam.
• Example: AI identifying an Apple Watch Ultra and a Prime energy drink and even estimating calories.

The Power of AI

• The session aimed to demonstrate that AI is more powerful than many realize.
• AI's rapid evolution suggests it will become significantly more powerful in the near future.
• AI has the potential to displace a significant number of jobs.

Future-Proofing Skills

• To remain relevant, individuals need to learn how to use AI effectively.
• Companies are already implementing AI policies and experiencing "silent firing."
• A future-proof employee:
  • Can do more work in less time using AI.
  • Reduces the number of people needed for a task.
  • Is an AI generalist rather than a specialist.
  • Enables fewer people to make more money.

OUTSkill's Generative AI Mastermind

• A two-day program designed to help individuals become AI-first.

Program Overview

• Takes participants from beginner to advanced in generative AI.
• Consists of multiple sessions each day, covering foundations, conversational bots, automation, visual storytelling, and no-code app development.

Session 1: Foundations of Generative AI

• Covers supervised and unsupervised learning, GPT, tokenization, probability distribution, and transformer applications.
• Involves hands-on experience with the OpenAI playground, adjusting parameters like p value, temperature, and frequency.
• Aims to build simple AI tools and web apps without coding.

Session 2: Conversational Bots

• Building AI agents without coding.
• Covers custom GPTs, knowledge base configuration, and system prompt writing.
• Building voice agents.
• Using chat GPT, custom GPTs, level labs, Gemini gems, and relevance.

Session 3: Automation

• Email writing and social media content creation using AI.
• Automating tasks using AI tools without coding.
• Using a platform called Make to build automation flows.

Session 4: Visual Storytelling

• Building full-fledged videos and ad films using AI.
• Using tools like Midjourney, Luma AI, eleven Labs, ChatGPT, and RunwayML.

Session 5: No-Code App Development

• Building landing pages and apps without coding using tools like Bolt or Lovable.

Key Learnings

• Introduction to generative AI and its fundamentals.
• Hands-on experience with top LLM models.
• Understanding the science behind LLMs and prompt engineering.
• Creating compelling stories and AI automations with no-code tools.

Bonus: Day 3 for Engineers

• Focuses on agentic AI systems, CrewAI, and Racks for software engineers using Python.

Program Format

• Two-day event with top AI mentors, live workshops, breakout rooms, quizzes, and community access.
• No recordings are provided to protect privacy during breakout activities.

Program Suitability

• Not suitable for those uncomfortable with computers or the internet, those who don't believe in AI, those who can't commit two days, or those unwilling to take action.
• Suitable for those willing to step out of their comfort zone and put in the effort to become AI-proficient.