AI Engineering
- Statistical language model: They use tokens and they have access to vocabulary. This is a language model which can do majorly two types of things
- Fill in the blanks: Masked language model
Kids were ___ on the ground - predict next word: Autoregressive language model
kids were screaming loud in the classroom and then arrived the _____
- Fill in the blanks: Masked language model
- These language models were trained on very large volumes of data which require a very large infra.
- This helps the models to generate text
Hello Good morning in french
- This is what we call as Large Language Model (LLM)
- Creating a LLM is not possible for every org, Few Organizations started the concept of
model as service. -
LLMs started supporting multi modality (Text, Images, Audio, Video) and also good at general purpose activities (Foundational model)
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For enterprises barrier for developing AI enabled applications is very less. This led to AI Engineering.
- Problems:
- Fine Tuning: Brand Themes, Solving specific problems
- AI Agents: Perform tasks/actions
- RAG (chatbots, knowledge base AI)
Adopting AI for learning
How to use prompts
- Question: What is entropy
- Context:
I am trying to understand Artificial Intelligence and came across word called as entropy, Can you explain in simple terms
- Prompts: Adopt this style
- set persona
- set context
- ask
Google AI Studio
- Refer Here
Make google AI Studio to install softwareWatch classroom recording
