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In this episode, we will cover:
This episode has the following structure and topics:
In this episode, we cover REST, SOAP, GraphQL, gRPC and WebSocket APIs.
We also look at API principles from API First Design to Rate Limiting and OAuth.
Then we look at API Tools from Postman to Swagger and Insomnia, then to API Gateway, SoapUI and JMeter.
Then we move to some Real-World Applications of APIs in Driving Large Language Models such as Content Creation, Chatbots, Language Translation Services, Education, Sentiment Analysis, Voice Assistants, Text-to-Speech and Speech-to-Text Services.
We also look at the mathematics that underpin APIs and future trends of APIs.
Introduction to Deep Learning
The Evolution of Deep Learning - A Historical Perspective
The Brain Behind Deep Learning - Artificial Neural Networks:
Types of Deep Learning - CNNs, RNNs, and More
Training Deep Learning Models - How Do They Learn?:
Real-World Applications - Where is Deep Learning Used?:
Challenges and Ethical Considerations
The Future of Deep Learning - What’s Next?:
In this episode, we cover what is Prompt Engineering, we look at what is a good prompt or a bad one, when there is too much or too little
In this episode we will cover:
Can AI become a force of good or are we going to lose control over it?
In this episode, we look at how AI can evolve as we are at a crossroads.
Are we going to be smart enough and develop artificial intelligence to help us cure disease, extend life or explore the universe?
Or, in our quest to develop AI as fast as possible, we will end up with a sentient artificial intelligence with a different agenda than ours and this will ultimately lead to the end of mankind?
In our Inaugural Episode, we cover briefly:
Section 1: Artificial Intelligence (AI) and Machine Learning
Section 2: Supervised vs. Unsupervised Learning
Section 3: Deep Learning and Generative Models
Section 4: Understanding Generative AI
Section 5: Applications in Various Business Sizes
Section 6: Transformers in AI
Section 7: Challenges and Solutions in AI
Section 8: Prompt Engineering and Detection of Hallucinations
Section 9: Text-to-Output Models in Business Operations
Section 10: Q&A Segment for Businesses
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