"RLAIF" meaning in All languages combined

{
  "head_templates": [
    {
      "args": {
        "1": "-"
      },
      "expansion": "RLAIF (uncountable)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "alt_of": [
        {
          "word": "reinforcement learning from AI feedback"
        }
      ],
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Artificial intelligence",
          "orig": "en:Artificial intelligence",
          "parents": [
            "Computer science",
            "Cybernetics",
            "Computing",
            "Sciences",
            "Applied mathematics",
            "Systems theory",
            "Technology",
            "All topics",
            "Mathematics",
            "Systems",
            "Fundamental",
            "Formal sciences",
            "Interdisciplinary fields",
            "Society"
          ],
          "source": "w"
        }
      ],
      "examples": [
        {
          "ref": "2023, “RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback”, in Arxiv",
          "text": "Reinforcement learning from human feedback (RLHF) has proven effective in aligning large language models (LLMs) with human preferences. However, gathering high-quality human preference labels can be a time-consuming and expensive endeavor. RL from AI Feedback (RLAIF), introduced by Bai et al., offers a promising alternative that leverages a powerful off-the-shelf LLM to generate preferences in lieu of human annotators.",
          "type": "quotation"
        },
        {
          "ref": "2023 October 6, Tasmia Ansari, “Reinforcement Learning Craves Less Human, More AI”, in Analytics India Magazine",
          "text": "a prime hurdle lies in gathering high-quality human preference labels. This is where reinforcement learning from human feedback with AI feedback (RLAIF) comes into the picture, a novel framework by Google Research to train models with reduced reliance on human intervention.",
          "type": "quotation"
        }
      ],
      "glosses": [
        "Initialism of reinforcement learning from AI feedback."
      ],
      "id": "en-RLAIF-en-noun-Eaiy83KM",
      "links": [
        [
          "machine learning",
          "machine learning"
        ],
        [
          "reinforcement learning",
          "reinforcement learning#English"
        ],
        [
          "from",
          "from#English"
        ],
        [
          "AI",
          "AI#English"
        ],
        [
          "feedback",
          "feedback#English"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning) Initialism of reinforcement learning from AI feedback."
      ],
      "related": [
        {
          "word": "RLHF"
        },
        {
          "word": "reinforcement learning"
        }
      ],
      "tags": [
        "abbreviation",
        "alt-of",
        "initialism",
        "uncountable"
      ]
    }
  ],
  "word": "RLAIF"
}

{
  "head_templates": [
    {
      "args": {
        "1": "-"
      },
      "expansion": "RLAIF (uncountable)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "related": [
    {
      "word": "RLHF"
    },
    {
      "word": "reinforcement learning"
    }
  ],
  "senses": [
    {
      "alt_of": [
        {
          "word": "reinforcement learning from AI feedback"
        }
      ],
      "categories": [
        "English entries with incorrect language header",
        "English initialisms",
        "English lemmas",
        "English nouns",
        "English terms with quotations",
        "English uncountable nouns",
        "en:Artificial intelligence"
      ],
      "examples": [
        {
          "ref": "2023, “RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback”, in Arxiv",
          "text": "Reinforcement learning from human feedback (RLHF) has proven effective in aligning large language models (LLMs) with human preferences. However, gathering high-quality human preference labels can be a time-consuming and expensive endeavor. RL from AI Feedback (RLAIF), introduced by Bai et al., offers a promising alternative that leverages a powerful off-the-shelf LLM to generate preferences in lieu of human annotators.",
          "type": "quotation"
        },
        {
          "ref": "2023 October 6, Tasmia Ansari, “Reinforcement Learning Craves Less Human, More AI”, in Analytics India Magazine",
          "text": "a prime hurdle lies in gathering high-quality human preference labels. This is where reinforcement learning from human feedback with AI feedback (RLAIF) comes into the picture, a novel framework by Google Research to train models with reduced reliance on human intervention.",
          "type": "quotation"
        }
      ],
      "glosses": [
        "Initialism of reinforcement learning from AI feedback."
      ],
      "links": [
        [
          "machine learning",
          "machine learning"
        ],
        [
          "reinforcement learning",
          "reinforcement learning#English"
        ],
        [
          "from",
          "from#English"
        ],
        [
          "AI",
          "AI#English"
        ],
        [
          "feedback",
          "feedback#English"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning) Initialism of reinforcement learning from AI feedback."
      ],
      "tags": [
        "abbreviation",
        "alt-of",
        "initialism",
        "uncountable"
      ]
    }
  ],
  "word": "RLAIF"
}