posts_gdocs: 18pd6Bu6KAyKAS0HVDFjM5MTDZgKYQdXIupwpudfFcsk
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18pd6Bu6KAyKAS0HVDFjM5MTDZgKYQdXIupwpudfFcsk | language-based-ai-systems-have-grown-rapidly-in-recent-years | data-insight | { "body": [ { "size": "narrow", "type": "image", "filename": "di-cumulative-number-of-notable-ai-systems-by-domain-desktop.png", "parseErrors": [], "smallFilename": "di-cumulative-number-of-notable-ai-systems-by-domain-mobile.png" }, { "type": "text", "value": [ { "text": "In recent years, there has been a notable shift towards artificial intelligence (AI) systems focused on language. They have outpaced advancements in other sectors like image recognition, gaming, and biology.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This is shown in the chart, which shows the number of AI systems considered notable by Epoch researchers.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The shift is primarily due to technical advancements in AI algorithms, particularly the introduction of \u201ctransformers\u201d around 2017. As shown in the chart, the rapid development of language-based AI systems began around this time.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Transformers have radically changed natural language processing by evaluating chunks of text \u2014 \u201ctokens\u201d \u2014 instead of focusing on one word at a time. For example, by considering the whole sentence \"The bank can ensure your money is safe\", transformers can quickly discern that \"bank\" refers to a financial institution, not the side of a river.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This capability has significantly enhanced AI's ability in complex language tasks, improving machine translation and text generation, and making interactions more intuitive and effective.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "url": "https://ourworldindata.org/grapher/cumulative-number-of-notable-ai-systems-by-domain", "children": [ { "text": "Explore this data", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " \u2192", "spanType": "span-simple-text" } ], "parseErrors": [] } ], "refs": { "errors": [], "definitions": {} }, "type": "data-insight", "title": "Language-based AI systems have grown rapidly in recent years", "authors": [ "Veronika Samborska" ], "approved-by": "Max Roser", "grapher-url": "<a href=\"https://ourworldindata.org/grapher/cumulative-number-of-notable-ai-systems-by-domain\">https://ourworldindata.org/grapher/cumulative-number-of-notable-ai-systems-by-domain</a>" } |
1 | 2024-03-18 11:23:17 | 2024-04-12 06:51:02 | 2024-04-09 08:03:29 | unlisted | ALBJ4LvRYJrPUvXsEqGvS5yptI-qcrwqLQArS5xib93hbXGm4oH-INaYMqOdXeHbiNpa-5j7nldzj4pdblk7kA | <Image filename="di-cumulative-number-of-notable-ai-systems-by-domain-desktop.png"/> In recent years, there has been a notable shift towards artificial intelligence (AI) systems focused on language. They have outpaced advancements in other sectors like image recognition, gaming, and biology. The shift is primarily due to technical advancements in AI algorithms, particularly the introduction of “transformers” in 2017. As shown in the chart, the rapid development of language-based AI systems began around this time. Transformers have radically changed natural language processing by evaluating chunks of text — “tokens” — instead of focusing on one word at a time. For example, by considering the whole sentence "The bank can ensure your money is safe", transformers can quickly discern that "bank" refers to a financial institution, not the side of a river. This capability has significantly enhanced AI's ability in complex language tasks, improving machine translation and text generation, and making interactions more intuitive and effective. [Explore this data](https://ourworldindata.org/grapher/cumulative-number-of-notable-ai-systems-by-domain) → | Language-based AI systems have grown rapidly in recent years |