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Beyond ChatGPT; AI Agent: A New World of Workers

Unite.AI

Current Landscape of AI Agents AI agents, including Auto-GPT, AgentGPT, and BabyAGI, are heralding a new era in the expansive AI universe. AI Agents vs. ChatGPT Many advanced AI agents, such as Auto-GPT and BabyAGI, utilize the GPT architecture. BabyAGI Then, there's BabyAGI , a simplified yet powerful agent.

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The Shift from Models to Compound AI Systems

BAIR

In this section, we detail a few example AI systems, then discuss these challenges and recent research on them. Likewise, in a compound system, where should a developer invest resources—for example, in a RAG pipeline, is it better to spend more FLOPS on the retriever or the LLM, or even to call an LLM multiple times?

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Creating your whole codebase at once using LLMs – how long until AI replaces human developers?

deepsense.ai

What makes the project stand out Agents created on the fly BabyCoder BabyAGI is another AI agent working in a loop. BabyCoder is one of the BabyAGI variants which specializes in writing code. Poor code-writing abilities. It has inspired multiple projects , possibly due to the simplicity of its implementation. For example 1.

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The Shift from Models to Compound AI Systems

BAIR

In this section, we detail a few example AI systems, then discuss these challenges and recent research on them. Likewise, in a compound system, where should a developer invest resources—for example, in a RAG pipeline, is it better to spend more FLOPS on the retriever or the LLM, or even to call an LLM multiple times?

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? Guest Post: Enhancing ChatGPT's Efficiency – The Power of LangChain and Milvus*

TheSequence

Vector databases have a plethora of other use cases, making them an indispensable component of LLM applications: Vector Databases facilitate context-based storage, a helpful feature in LLM platforms like Auto-GPT and BabyAGI. In the following section, you will learn how LangChain and Milvus can address hallucinations. And much more.

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