“LLMアプリ開発は「動くものを作る」だけなら驚くほど簡単だ。OpenAIのAPIキーを取得し、数行のPythonコードを書けば、誰でもチャットボットを作ることができる。”

“Assuming the article is about the challenges of AI adoption, a relevant quote might be: "The promise of AI automating entire job roles has been tempered by the reality of needing skilled human oversight and adaptation."”

“The algorithm minimizes a discretized version of the energy using finite elements, generalizing existing TV-minimization methods.”

“Increasing strain rate promotes the activation of a growing number of stronger sites. Dislocation avalanches become larger through the superposition of simultaneous events and because stronger obstacles are required to arrest them.”

“The paper proposes a method that trains a neural network to predict the minimum distance between the robot and obstacles using latent vectors as inputs. The learned distance gradient is then used to calculate the direction of movement in the latent space to move the robot away from obstacles.”

“AVOID consists of a large set of unexpected road obstacles located along each path captured under various weather and time conditions.”

“Lessons learned from implementing in AI at regulated medical device manufacturer, ResMed.”

“"Hitting the ChatGPT API and displaying the response on the screen." This is something anyone can implement now, in a weekend hackathon or a few hours of personal development...”

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“The system was tested in different simulated and real outdoor environments, obtaining results near 90% of coverage in the majority of experiments.”

“SCAFusion achieves 90.93% mAP in simulated lunar environments, outperforming the baseline by 11.5%, with notable gains in detecting small meteor like obstacles.”

“With conventional rail, we’re usually looking at speeds of less than 80 mph (129 kph). Higher-speed rail is somewhere between 90, maybe up to 125 mph (144 to 201 kph). And high-speed rail is 150 mph (241 kph) or faster.”

“The DSL model helps Industry 4.0 organizations adapt to growing challenges posed by the projected 18.8 billion IoT devices by bridging operational obstacles and promoting systemic resilience.”

“The paper focuses on embodied navigation among movable obstacles.”

“The article's context indicates a focus on how copyright legal philosophy precludes protection for generative AI outputs.”

“The article likely provides an overview of the nuScenes dataset.”

“The article's focus is on the challenges of NLP in low-resource African languages.”

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“Exploring the utility of large language models in autonomous driving: Can they be trusted for self-driving cars, and what are the key challenges?”

“The article likely contains quotes from researchers or academics discussing the specific challenges they face due to OpenAI's policies. These quotes would provide concrete examples and support the main argument.”

“The article's premise is that deep learning on electronic medical records is doomed to fail.”

“The context provided is very limited, therefore no key fact from context can be extracted.”

“The article doesn't contain a direct quote, but the focus is on object interaction tasks and sample-efficient reinforcement learning.”

“We focus our conversation on his presentation, exploring the prospects and challenges of quantum machine learning, as well as the field’s history, evolution, and future.”

“Deep learning systems are becoming increasingly complex, making it difficult to fully understand their inner workings.”