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data/retrieval_individual-407c4836-37e2-4f9f-8e9b-06706cc4440c.jsonl CHANGED
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  {"tstamp": 1722495138.4102, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722495135.7848, "finish": 1722495138.4102, "ip": "", "conv_id": "fb33411d7900485285f5fa5039d64941", "model_name": "text-embedding-004", "prompt": "what medical LLMs is out there?", "output": [["what medical LLMs is out there?", "Title: Large language models in medicine: the potentials and pitfalls\n\nAbstract: Large language models (LLMs) have been applied to tasks in healthcare, ranging from medical exam questions to responding to patient questions. With increasing institutional partnerships between companies producing LLMs and healthcare systems, real world clinical application is coming closer to reality. As these models gain traction, it is essential for healthcare practitioners to understand what LLMs are, their development, their current and potential applications, and the associated pitfalls when utilized in medicine. This review and accompanying tutorial aim to give an overview of these topics to aid healthcare practitioners in understanding the rapidly changing landscape of LLMs as applied to medicine."]], "corpus": "arxiv"}
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  {"tstamp": 1722495416.6769, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1722495416.3783, "finish": 1722495416.6769, "ip": "", "conv_id": "5cd756e6eb644210a86d912d562e254e", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "corpus": "wikipedia"}
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  {"tstamp": 1722495416.6769, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722495416.3783, "finish": 1722495416.6769, "ip": "", "conv_id": "a57a91150268410495416350d39d8ff7", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Chinese room\n\nSearle does not disagree that AI research can create machines that are capable of highly intelligent behavior. The Chinese room argument leaves open the possibility that a digital machine could be built that acts more intelligently than a person, but does not have a mind or intentionality in the same way that brains do.\nSearle's \"strong AI hypothesis\" should not be confused with \"strong AI\" as defined by Ray Kurzweil and other futurists, who use the term to describe machine intelligence that rivals or exceeds human intelligence -- that is, artificial general intelligence, human level AI or superintelligence. Kurzweil is referring primarily to the amount of intelligence displayed by the machine, whereas Searle's argument sets no limit on this. Searle argues that a superintelligent machine would not necessarily have a mind and consciousness.\nTuring test\nThe Chinese room implements a version of the Turing test. Alan Turing introduced the test in 1950 to help answer the question \"can machines think?\" In the standard version, a human judge engages in a natural language conversation with a human and a machine designed to generate performance indistinguishable from that of a human being. All participants are separated from one another. If the judge cannot reliably tell the machine from the human, the machine is said to have passed the test."]], "corpus": "wikipedia"}
 
 
 
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  {"tstamp": 1722495138.4102, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722495135.7848, "finish": 1722495138.4102, "ip": "", "conv_id": "fb33411d7900485285f5fa5039d64941", "model_name": "text-embedding-004", "prompt": "what medical LLMs is out there?", "output": [["what medical LLMs is out there?", "Title: Large language models in medicine: the potentials and pitfalls\n\nAbstract: Large language models (LLMs) have been applied to tasks in healthcare, ranging from medical exam questions to responding to patient questions. With increasing institutional partnerships between companies producing LLMs and healthcare systems, real world clinical application is coming closer to reality. As these models gain traction, it is essential for healthcare practitioners to understand what LLMs are, their development, their current and potential applications, and the associated pitfalls when utilized in medicine. This review and accompanying tutorial aim to give an overview of these topics to aid healthcare practitioners in understanding the rapidly changing landscape of LLMs as applied to medicine."]], "corpus": "arxiv"}
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  {"tstamp": 1722495416.6769, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1722495416.3783, "finish": 1722495416.6769, "ip": "", "conv_id": "5cd756e6eb644210a86d912d562e254e", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "corpus": "wikipedia"}
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  {"tstamp": 1722495416.6769, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722495416.3783, "finish": 1722495416.6769, "ip": "", "conv_id": "a57a91150268410495416350d39d8ff7", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Chinese room\n\nSearle does not disagree that AI research can create machines that are capable of highly intelligent behavior. The Chinese room argument leaves open the possibility that a digital machine could be built that acts more intelligently than a person, but does not have a mind or intentionality in the same way that brains do.\nSearle's \"strong AI hypothesis\" should not be confused with \"strong AI\" as defined by Ray Kurzweil and other futurists, who use the term to describe machine intelligence that rivals or exceeds human intelligence -- that is, artificial general intelligence, human level AI or superintelligence. Kurzweil is referring primarily to the amount of intelligence displayed by the machine, whereas Searle's argument sets no limit on this. Searle argues that a superintelligent machine would not necessarily have a mind and consciousness.\nTuring test\nThe Chinese room implements a version of the Turing test. Alan Turing introduced the test in 1950 to help answer the question \"can machines think?\" In the standard version, a human judge engages in a natural language conversation with a human and a machine designed to generate performance indistinguishable from that of a human being. All participants are separated from one another. If the judge cannot reliably tell the machine from the human, the machine is said to have passed the test."]], "corpus": "wikipedia"}
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+ {"tstamp": 1722497015.4554, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722497013.1417, "finish": 1722497015.4554, "ip": "", "conv_id": "6cf2da5edcbe44f4a8d69338e28da46e", "model_name": "text-embedding-004", "prompt": "how many seasons are there for the good doctor", "output": [["how many seasons are there for the good doctor", "The Good Doctor (American TV series)\n\nDevelopment In May 2014, CBS Television Studios began development on an American remake of the hit South Korean medical drama Good Doctor with Daniel Dae Kim as producer. Kim explained the appeal of adapting the series as \"something that can fit into a recognizable world with a breadth of characters that can be explored in the long run\". The story of an autistic pediatric surgeon was to be set in Boston, and projected to air in August 2015, but CBS did not pick up the project, and it moved to Sony Pictures Television with a put pilot commitment from ABC in October 2016. The series was developed by David Shore who is credited as executive producer alongside Kim, Sebastian Lee and David Kim. ABC officially ordered the series to pilot in January 2017.\nOn May 11, 2017, ABC ordered to series as a co-production with Sony Pictures Television and ABC Studios, and it was officially picked up for a season of 18 episodes on October 3, 2017. On March 7, 2018, ABC renewed the series for a second season. On February 5, 2019, during the TCA press tour, ABC renewed the series for a third season which premiered on September 23, 2019. On February 10, 2020, ABC renewed the series for a fourth season which premiered on November 2, 2020. On August 6, 2020, it was reported that the fourth season opener is set to focus on the COVID-19 pandemic. On May 3, 2021, ABC renewed the series for a fifth season which premiered on September 27, 2021. On March 30, 2022, ABC renewed the series for a sixth season which premiered on October 3, 2022. On May 13, 2022, executive producer Liz Friedman was promoted to co-showrunner alongside Shore for the sixth season. On April 19, 2023, ABC renewed the series for a seventh season which premiered on February 20, 2024. On January 11, 2024, it was announced that the seventh season will be its final season."]], "corpus": "wikipedia"}
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+ {"tstamp": 1722497015.4554, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722497013.1417, "finish": 1722497015.4554, "ip": "", "conv_id": "a91e24086b6c47d598ea1e5b5da80416", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "how many seasons are there for the good doctor", "output": [["how many seasons are there for the good doctor", "The Good Doctor (American TV series)\n\nPaige Spara as Lea Dilallo-Murphy (seasons 2–7; recurring, season 1), Shaun's love interest until she left to pursue her dream. Later after she returned, they decide to be platonic close friends and roommates, but they finally became a couple in the season 3 finale. In season 4, she and Shaun were expecting a baby girl together before she has a miscarriage due to a medical problem. In the season 4 finale, Lea gets engaged to Shaun. In the season 5 finale, they get married. In season 6, she and Shaun are expecting a baby boy and she gives birth to Steven in the finale. In a flashforward in the series finale, Shaun and Lea have a daughter together as well. Lea worked as an automotive engineer in the first two seasons before becoming Glassman's assistant in season 3. In season 4, she has become the head of the hospital's IT department.\nJasika Nicole as Dr. Carly Lever (season 3; recurring seasons 1–2), the hospital's head and board certified pathologist introduced in season 1 who becomes Shaun's co-worker in season 2 and girlfriend in season 3. However, Carly breaks up with Shaun near the end of season 3 after realizing that he's in love with Lea."]], "corpus": "wikipedia"}