OpenAI Macro & Micro Strategy: Master Assistants API, Threads, Messages, and Runs
When OpenAI announces a new set of technology - 1000 startups INSTANTLY vanish. Let's minimize the chances that happens to our products by focusing on embracing GPT technology without overcommitting and by reusable, composable building blocks. Today, we answer a critical question of how to use the Assistants API and more importantly, WHEN to use the Assistants API.
In this video, we delve into GPT-4 Turbo Assistants and their practical applications for builders and engineers. We'll explore a hands-on approach to integrating these technologies into our ongoing project: a Postgres data analytics tool that accelerates the way we interact with our SQL databases. Our focus is on practical, reusable Python structures, offering insights into how GPT-4 Turbo can enhance your product creation process with faster, safer, and more efficient solutions. We discuss the macro and micro implications of OpenAI's latest technologies and how we can stay on the edge of AI product engineering and enhance our personal engineering workflows.
We'll discuss the question of which technologies to focus on - AutoGen, Assistants API, or simple chat completion calls for your projects. Uncover the ideal solution tailored to your specific application needs, be it for automated tasks, context-rich interactions, or quick, straightforward queries.
This series isn't just theoretical – we're building real, applicable tools. In this video we create a reusable GPT-4 Turbo Assistant: TURBO4, and demonstrate its integration with our existing postgres multi-agent system. Our approach is clear and structured, aimed at maximizing the return on your investment in learning and applying these new technologies. We'll provide all necessary code links in the description. If you're intrigued by the potential of conversing with your database or eager to be among the first to test our upcoming 'talk to your database' product, the link will be in the description for that as well. Subscribe, like, and stay tuned for on the ground insights into utilizing the incredible power of GPT-4 Turbo for your engineering and product development endeavors.
👍 THE CODEBASE (Turbo4)
https://github.com/disler/multi-agent...
🔥 TALK TO YOUR DATABASE
https://talktoyourdatabase.com
🤖💻 AI Engineering Resources
OpenAI Assistance API: https://platform.openai.com/docs/assi...
(1) Watch Part One
• Prompt Engineering an ENTIRE codebase: Pos...
(2) Watch Part Two
• One Prompt is NOT enough: Using AutoGen to...
(3) Watch Part Three
• Make AutoGen Consistent: CONTROL your LLM ...
(4) Watch Part Four
• AutoGen Token Tactics: FIRING AI Agents, U...
(5) Watch Part Five
• AutoGen SPYWARE: Coding Systems for SUCCES...
(6) Watch Part Six
• Using AUTOGEN & GUIDANCE to code LLM Contr...
📘 Chapters
00:00 OpenAI Just Killed 1k+ Startups
01:35 What we can do on a daily basis
01:00 Recap Our Postgres Data Analytics Tool
05:05 Assistants API: Break it down
06:40 Turbo4 - Assistants API Wrapper Class
10:04 Turbo4 - API Deep Dive
17:14 Replace AutoGen Data Analytics Team with turbo4
20:56 Turbo4 Assistant In Action
24:00 Assistants API vs AutoGen vs Plain LLM
26:23 OpenAI Macro & Micro Strategy
27:30 Macro: OpenAI is becoming the Apple for LLMs
28:40 Micro: Building blocks, Composability, Reusability
29:50 The Ground Is Shifting Beneath Us
30:40 Shift and Move with the Ground
31:37 The Golden Nugget
32:00 Three Videos Left - 7 / 10
🐛 tags
#agentic #gpt #engineering