秋田のベンベ
2009年05月23日
工場の越後谷です。
我がベンベ連れて来ました！
先日、工場でマフラー外しました。
錆びて穴開いてます(泣)秋田の冬と戦い続けた結果です。
なかなかの腐り具合・・・。
中間パイプとの接合部のテーパー状の部分が腐ってもげたし・・・。
とりあえずなんとか直して車検通します(笑)
冷却水が汚れていて、ウォーターポンプににじみが見られたので交換しないとダメですね。
油脂類は全部リフレッシュしたいのですが、少しずつ時間があるときにやっていきたいと思います。
この記事へのコメント
(Christel)
The AI chat bot uses technologies like natural language processing (NLP), machine learning, and generative
AI to understand user inputs and provide relevant, human-like responses.
An artificial intelligence chatbot can help customers with FAQs,
troubleshoot issues, and escalate complex matters to human agents
if needed. Customer service chatbots can handle multiple conversations simultaneously,
reduce wait times, and improve response accuracy.
AI chatbots significantly enhance customer service by providing
instant, automated responses to customer queries.
Upon transfer, the live support agent can get the full chatbot conversation history.
With a user-friendly, no-code/low-code platform AI chatbots can be built even faster.
This sophistication, drawing upon recent advancements
in large language models (LLMs), has led to increased customer satisfaction and more versatile chatbot applications.
This gave rise to a new type of chatbot, contextually
aware and armed with machine learning to continuously optimize
its ability to correctly process and predict queries through exposure
to more and more human language. Such rudimentary, traditional chatbots are unable to process complex questions, nor answer
simple questions that haven’t been predicted by developers.
Unable to interpret natural language, these FAQs generally required users to select from
simple keywords and phrases to move the conversation forward.
Additionally, chatbots can schedule meetings, ensuring that prospects are always engaged and
that no sales opportunity is missed. They create personalized sales
offers based on user input, pass qualified leads directly to CRM systems, and even transfer live
chats to sales representatives when needed.
In sales, chatbots are instrumental in qualifying and segmenting
leads, ensuring that sales teams focus on high-potential prospects.
AI to understand user inputs and provide relevant, human-like responses.
An artificial intelligence chatbot can help customers with FAQs,
troubleshoot issues, and escalate complex matters to human agents
if needed. Customer service chatbots can handle multiple conversations simultaneously,
reduce wait times, and improve response accuracy.
AI chatbots significantly enhance customer service by providing
instant, automated responses to customer queries.
Upon transfer, the live support agent can get the full chatbot conversation history.
With a user-friendly, no-code/low-code platform AI chatbots can be built even faster.
This sophistication, drawing upon recent advancements
in large language models (LLMs), has led to increased customer satisfaction and more versatile chatbot applications.
This gave rise to a new type of chatbot, contextually
aware and armed with machine learning to continuously optimize
its ability to correctly process and predict queries through exposure
to more and more human language. Such rudimentary, traditional chatbots are unable to process complex questions, nor answer
simple questions that haven’t been predicted by developers.
Unable to interpret natural language, these FAQs generally required users to select from
simple keywords and phrases to move the conversation forward.
Additionally, chatbots can schedule meetings, ensuring that prospects are always engaged and
that no sales opportunity is missed. They create personalized sales
offers based on user input, pass qualified leads directly to CRM systems, and even transfer live
chats to sales representatives when needed.
In sales, chatbots are instrumental in qualifying and segmenting
leads, ensuring that sales teams focus on high-potential prospects.
[2025-12-30 21:58:39.424792]
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