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3. Auto-GPT Code Execution
This demonstrates AutoGPT reading and writing its own code.
Self-improving and executing by itself.
Toran Bruce Richards@SigGravitas
Massive Update for Auto-GPT: Code Execution! 🤖💻 Auto-GPT is now able to write it's own code using #gpt4 and execute python scripts! This allows it to recursively debug, develop and self-improve... 🤯 👇
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AutoGPT might be the next big step in AI.
Here's why Karpathy recently said "AutoGPT is the next frontier of prompt engineering"
AutoGPT is the equivalent of giving GPT-based models a memory and a body. You can now give a task to an AI agent and have it autonomously come up with a plan, execute on it, browse the web, and use new data to revise the strategy until the task is completed.
It can analyze the market and come up with a trading strategy, customer service, marketing, finance, or other tasks that requires continuous updates.
There are three components to it:
1. Architecture: It leverages GPT-4 and GPT-3.5 via API.
2. Autonomous Iterations: AutoGPT can refine its outputs by self-critical review, building on its previous work and integrating prompt history for more accurate results.
3. Memory Management: Integration with @pinecone allows for long-term memory storage, enabling context preservation and improved decision-making.
4. Multi-functionality: Capabilities include file manipulation, web browsing, and data retrieval, distinguishing AutoGPT from previous AI advancements by broadening its application scope.
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Want to know what's next in crypto? Follow the smart money.
@a16zcrypto is the biggest crypto VC.
A data-driven deep dive thread on a16z investments 🧵

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📊 DYOR just got easier. And faster. And more fun.
The new Flipside app is here, and it's a game changer for crypto analysts.
Let's see what's new at flipsidecrypto.xyz 👀 🧵
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