Artificial intelligence (AI) technology is developing rapidly and opening up new opportunities in various industries.
I watched a clip of Andrew Ng, the world's foremost AI expert. You just spoke to the Stanford Technology Ventures Program about the near future of AI.
and new opportunities that will arise for entrepreneurs. Which I think is very interesting, so I would like to pick up an important point.
I think it will be more or less useful to insiderly.ai readers.
Andrew Ng เป็นใคร
For those who may not know Andrew Ng, he is one of the top experts in the world in the AI industry.
He was the Chief Scientist of Baidu, the co-founder of Google Brain, and the co-founder of Coursera, one of the world's largest online learning platforms.
Currently, Andrew runs an AI investment fund (VC Fund) and has created an AI business (Startup Studio).
One of Andrew Ng's most talked-about quotes in the AI world is:
“AI is the New Electricity”
With Andrew's knowledge and experience, whatever you say is interesting. People are watching and it is an important issue.
In this talk, Andrew talked about many important issues, such as:
- Impact on the Change of Large Language Model (LLM)
- More opportunities await to build AI applications
- The Importance of Speed and Confidence for AI Entrepreneurs
- Useful advice for students interested in working in the AI field
- The need for responsible and ethical AI development
A summary of key lessons from Andrew Ng's talk, including actionable insights for entrepreneurs looking to build AI-powered companies to succeed.
Large Language Models (LLMs) are revolutionizing the development of AI applications.
A very important advance in the field of AI is the development of large language models (LLMs) such as GPT-3 and GPT-4 (OpenAI), Claude (Anthropic), PaLM (Google) or LLaMA (Meta).
Andrew explains how these LLM models significantly reduce the barriers to developing AI applications.
In the past Gathering data, training models, and deploying AI systems often takes months.
But with LLMs, we can now prompt and deploy applications in just a few hours or days.
For example, a simple prompt allows us to create an AI assistant chatbot to initiate or analyze the sentiment of messages in data. It enables a faster and more repeatable approach to AI product development and prototyping.
Many opportunities exist at the AI Application Layer.
While the focus is on AI infrastructure, Andrew argues that the biggest business opportunity is to build applications.
Andrew uses the analogy of electricity that the real value does not come from the infrastructure, but from the applications such as the light bulbs that are built on it.
“AI is the New Electricity”
Andrew also encouraged entrepreneurs to Put in ideas and concepts for building AI applications, plus your own specialized expertise.
Even if they don't have AI skills yet, they can collaborate with tech teams to develop valuable AI solutions.
Think about the problems in your own industry that can be solved with AI techniques.
For example, the use of AI for ocean freight routing and training specialized knowledge can be matched with AI capabilities.
Speed and confidence are key for AI entrepreneurs.
Andrew Ng emphasizes that speed and confidence are the hallmarks of the founders of great AI startups.
In a rapidly changing field like AI, the ability to test ideas and make quick decisions is crucial.
He gave the example of a startup founder. to make a major system architecture design decision in just 30 seconds.
While you need to be responsible, being brave enough to try new ideas and iterate quickly will give us an edge.
As an AI entrepreneur, you must be prepared to make a decision. In a difficult matter with limited information.
So, don't get too caught up in the analysis. We can test hypotheses and get feedback from users.
Advice for students: Focus on AI basics before applying.
When seeking advice for students interested in careers in AI,
Andrew emphasizes the importance of building a solid foundation. He recommends focusing on coursework before attempting to work on a research project or start a company.
Attend classes such as Machine Learning and Deep Learning to develop key technical skills first.
Then we can start applying our knowledge to different projects.
For example, assisting the professor in research and identifying problems that need to be solved to learn and ask for advice.
Technical depth and doability are key differentiators for AI entrepreneurs.
Developing practical skills will prepare us for creating successful products.
AI needs to be developed responsibly and ethically.
Amid the rapid advancement of AI, Andrew discusses the critical need for responsible and ethical development.
But there are concerns about potential misuse.
Andrew emphasizes the prudence of how AI applications can impact communities, for example, algorithm bias or algorithm bias are key issues to pay attention to.
conclusion
Andrew NG provides an in-depth overview of the state of AI and the way forward.
His recommendations highlight important considerations for students and entrepreneurs who want to leverage AI to create companies that can change the world.
The rapid growth of large-scale language models means that we are entering a new era of product-driven products. AI, but the principle of responsible development must be taken into account.
By combining emerging technologies such as AI with domain expertise, it can provide limitless competitiveness.
