{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"What Is an Agent, Actually?","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/eac90a08\"></iframe>","width":"100%","height":180,"duration":751,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/what-is-an-agent-actually.\nUntangling LLMs, agents, orchestration, and frameworks to establish a shared vocabulary for agentic systems\nCheck more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n            You can also check exclusive content about #artificial-intelligence, #large-language-models, #branding, #what-is-an-agent, #agents-explained, #multi-agent-frameworks, #llm-orchestration, #agent-vs-agentic,  and more.\nThis story was written by: @vanna-w. Learn more about this writer by checking @vanna-w's about page,\n            and for more stories, please visit hackernoon.com.\nLLMs didn’t invent the problem of getting independent decision-makers toward one goal; they gave that older problem much more capable technology to run on. \n        \n        ","thumbnail_url":"https://img.transistorcdn.com/KyA01h2FD2insgk-wX_xzV6vbJnTNl2BvPYVL-XaI9A/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjcyLzE2ODM1/ODI0ODgtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}