Row 65615

Row ID: 65615 | Dataset Entry | Axioma AXP Content Repository

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That's my first thought as well. And TBH still running on the back of my brain. What agents workflows are proposing (seems to) boils down to replacing programmatic logic (which is traceable and testable as mentioned) with whatever logic is built-in on those llms. So adding to the topic those agentic workflows are inherit slower and obscure (non-explicit). One popular "performance test" I've seen (HumanEval) they compare zero-shot like implementations with agentic workflow, which is the same as comparing a prototype with a full-fledged application. The latter is only expected to perform better. I totally agree that the LLM agents approach are isometric to any other architecture that you commit enough human resources and time to get it done, it just goes back to trade-offs. Please correct me if I'm wrong.

FieldValue
text That's my first thought as well. And TBH still running on the back of my brain. What agents workflows are proposing (seems to) boils down to replacing programmatic logic (which is traceable and testable as mentioned) with whatever logic is built-in on those llms. So adding to the topic those agentic workflows are inherit slower and obscure (non-explicit). One popular "performance test" I've seen (HumanEval) they compare zero-shot like implementations with agentic workflow, which is the sa…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-23
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  "text": "That's my first thought as well. And TBH still running on the back of my brain. What agents workflows are proposing (seems to) boils down to replacing programmatic logic (which is traceable and testable as mentioned) with whatever logic is built-in on those llms. So adding to the topic those agentic workflows are inherit slower and obscure (non-explicit).    \n  \nOne popular \"performance test\" I've seen (HumanEval) they compare zero-shot like implementations with agentic workflow, which is the same as comparing a prototype with a full-fledged application. The latter is only expected to perform better. I totally agree that the LLM agents approach are isometric to any other architecture that you commit enough human resources and time to get it done, it just goes back to trade-offs. Please correct me if I'm wrong.",
  "label": "r/machinelearning",
  "dataType": "comment",
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  "datetime": "2024-05-23",
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