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fixing parser, tools and executor

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João Moura
2024-09-15 18:41:59 -03:00
parent c2795307f6
commit f216b0a78c
98 changed files with 21270 additions and 26437 deletions
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tests/cassettes/test_sequential_async_task_execution_completion.yaml
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Recognition Challenge (ILSVRC). AlexNet, a convolutional neural network (CNN),
significantly outperformed previous models, showcasing the power of deep learning.
This event revitalized AI research and propelled advancements in neural networks
and deep learning technologies. Following this, in 2016, Google's AlphaGo achieved
a landmark victory by defeating world champion Go player Lee Sedol. This demonstrated
AI's prowess in pattern recognition, strategic thinking, and learning independent
of human instructions, setting a new benchmark for AI capabilities. \\n\\nThese
pivotal events have collectively contributed to the significant advancements
in AI, shaping its development and applications in various domains such as healthcare,
customer service, and creative industries. Each milestone has brought us closer
to understanding the immense potential of AI to revolutionize our world.\",\n
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Answer: \\n\\nArticle: The Pivotal Moments in the History of Artificial Intelligence\\n\\nArtificial
Intelligence (AI) has traversed a fascinating journey from a theoretical concept
to a transformative force across various domains. The origins of AI as a formal
field of study can be traced back to the seminal Dartmouth Conference in 1956,
where John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon
convened to discuss the possibility of automating human intelligence. This conference
is widely regarded as the birth of AI, laying the foundational ideas and establishing
the objectives that would guide future research. The enthusiasm and vision emanating
from this gathering catalyzed the initial exploration into AI, prompting researchers
to dream of machines that could emulate human cognitive functions.\\n\\nA decade
later, in 1966, AI took a significant leap forward with the development of ELIZA
by Joseph Weizenbaum at MIT. ELIZA was an early natural language processing
program that simulated a psychotherapist, engaging users in simple conversational
interactions. Though rudimentary by today\u2019s standards, ELIZA's ability
to mimic human dialogue marked a groundbreaking advancement in human-computer
interaction. This experiment underscored the potential of AI to perform tasks
that were previously thought to require human intervention, thereby expanding
the scope and ambition of AI research.\\n\\nFast-forward to 1997, and AI achieved
a new milestone when IBM's Deep Blue defeated world chess champion Garry Kasparov
in a highly publicized match. This event not only showcased AI's capability
to execute complex problem-solving and strategic thinking but also captured
the public imagination, demonstrating that machines could surpass human experts
in intellectually demanding activities. Deep Blue's victory served as a testament
to the advancements in computational power and algorithmic sophistication, pushing
the boundaries of what was deemed possible in AI.\\n\\nThe evolution of AI continued
to astonish the world, notably with IBM Watson\u2019s triumph on the quiz show
\\\"Jeopardy!\\\" in 2011. Competing against two of the show\u2019s greatest
champions, Watson's ability to process natural language, retrieve information,
and provide accurate responses illustrated the significant strides made in AI's
understanding and analysis of language. This achievement highlighted the practical
applications of AI in fields requiring extensive data analysis and decision-making.
Then, in 2016, Google's AlphaGo cemented AI's prowess further by defeating Lee
Sedol, one of the world\u2019s top Go players. The complexity of Go, with its
countless possible configurations, made AlphaGo's victory a landmark in the
application of deep learning and reinforcement learning techniques. This event
demonstrated AI's potential in tackling intricate problems involving pattern
recognition and long-term strategic planning, setting the stage for future innovations.\\n\\nThroughout
its history, AI has marked several pivotal moments that have significantly shaped
its development and societal impact. From the initial visionaries at the Dartmouth
Conference to the contemporary triumphs of systems like Watson and AlphaGo,
each milestone has propelled AI toward becoming an indispensable tool in addressing
complex challenges and revolutionizing diverse sectors. As AI continues to evolve,
the lessons and breakthroughs from these historical events will undoubtedly
guide its trajectory and influence its future contributions.\",\n \"refusal\":
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