LLMs like OpenAI are the agents in disguise. These Agents are created to solve tasks. To solve these tasks the LLMs, need the prompts from the user and at system level. The user prompts are built using the templating engine like Jinja. Then it is fed into the LLMs API endpoint using Python/ Programming language logic. This video discusses that point.
Chapter Navigation:
0:00 Intro
0:15 How Build Simple Agents
1:11 Code Generation Agent Intro
2:02 Code Walkthrough
3:10 Agents are LLMs / AI models
4:50 Introducing Tavily Search
5:50 Collecting Search Results in Lists
6:45 Rendering Code Extraction Template
9:10 System & User Prompt
9:35 Calling LLM
10:15 Processing output
10:45 Code Review
11:00 Everything Done with Coding Logic
12:30 Writing Code for Multiple Tasks
13:50 LLMs will become hidden in Abstraction
15:45 Jinja Template Role
16:45 Lots of Python Involved
17:40 Whats Our Role
18:00 Outro
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