Tostino

Tostino t1_jee40if wrote

The possibility of creating an autonomous agent with current level hardware is not as far-fetched as it may seem. A single adept engineer could conceivably construct such an agent by amalgamating insights from disparate papers that have been divulged in the field of artificial intelligence. These papers may contain novel algorithms, techniques, or architectures that could be integrated into a coherent and functional system. Moreover, the open source implements that are available today, such as langchain/flow and pinecone db (or similar), could provide the necessary tools and frameworks to assemble an architecture that is self augmenting and self refining. Such an architecture could leverage the power of distributed computing, natural language processing, and machine learning to improve its own performance and capabilities over time. This could potentially enable the agent to surpass the optimal human capacities at most undertakings, or at least match them.

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Tostino t1_je847jg wrote

Literally just worked through this today manually as a proof of concept, using the LLM to augment the DB schema with comments describing any relevant info or corner cases. I'm essentially just manually feeding it as context to my prompts when I need to know something related to that set of tables, but it seems pretty powerful. Automating this is going to be nuts.

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