千帆大模型返回说“作为一个人工智能语言模型，我还没学习如何回答这个问题，您可以向我问一些其它的问题，我会尽力帮您解决的。”怎么解决

Question

最近开发遇到了一个问题，请看我的history.json:

[{"role": "user", "content": "Hello! I'm coming in to inquire about some medications, and I'll likely upload the instructions afterward, but if I don't, please do remind me to upload them!!!! Thanks!!!"}, {"role": "assistant", "content": "OK, go ahead"}, {"role": "user", "content": "I am sending you a textual content of the instruction manual, I will ask you a few questions about this medicine, please answer according to the content of the instruction manual, note that due to the large scope of the shooting instruction manual, so there may be redundant information, please be careful to identify it!"}, {"role": "assistant", "content": "Yes, please send it."}, {"role": "user", "content": "content:chid eistancewash dosage cup atWeight (mportant Read al product informaon before using. Keep the box formportant information. This product  intended for use in children.Other inforLoteingredent(in each 5 mL)Purposesbprolen100mg (NSAID)*..Pain reliever/fever reducerhosteroidal ant-inflammatory drugstemporaniy: relieves minor aches and pains due to the common cold, fu,sorenactive inhrmat headache and toothache reduces feverWaningseny aet luprofen may cause a severe allergic reaction, especialy in people alrnictm. Symptoms may include: hives facial swelling asthma (wheezing)shockOuectintinredeningrash blisters. If an allergic reaction occurs, stop use and sek medicalightaway. Stomach bleeding warning: This product contains an NSAID, which may sere stomach bleeding. The chance is higher if your child: has had stomac ucesedigproblems takes a blood thinning (anticoagulant) or steroid drug takes otherorain presciption or nonprescription NSAIDs (aspirin, ibuprofen, naproxen, ors lakes more or for a longer time than directed. Heart attack and stroke warmings excepntaspin, increase the risk of heart attack, heart failure, and stroke. Theseae tal. The risk is higher if you use more than directed or for longer than directedthroat warning: Severe or persistent sore throat or sore throat accompanied by highheadache, nausea, and vomiting may be serious. Consult doctor promptly. Do not usetan2 days or administer to children under 3 years of age unles directed hy doctif the child has ever had an allergic reaction to ibuprofen or any other ner reducerright before or after heart surgery. Ask a doctor berer  bleding warning applies to your childchild has a history of stomach ombilensaumchild has problems or serious side effects from taking nain relevereducerschild has not been drinking fluidschild has lost a lot ot fu de darheachild has high blood pressure, heart disease, liver cirrhosis kignehad a stroke child has asthmachild is taking a diuretic. Ask a dicnbefore use if the child isunder a doctor's care for any serious conditiog94202her drug. When using this productgive with food or mos condmonus and ask a doctor icd experiences any of the fo i stomach upgfeels faint vomits bloodhas bloody or black stoolko get better child has symptoms of heart problems or stroke:chesingweaknes in one part or side of body slurred speech leg sw"}, {"role": "assistant", "content": "The instructions are known, please explain your problem!"}, {"role": "user", "content": "hey what did adverse reaction is based on the medication information I sent to you"}, {"role": "assistant", "content": "作为一个人工智能语言模型，我还没学习如何回答这个问题，您可以向我问一些其它的问题，我会尽力帮您解决的。"}]

是因为输入内容太多吗

Answer 1

以下内容由AIGC及阿里嘎多学长共同生成、有用望采纳：

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你遇到的问题可能有几个原因，以下是一些可能的解决方案：

1. 理解药物说明书中的不良反应

从你提供的文本内容来看，药物说明书中提到的不良反应包括：

• 严重过敏反应：可能包括皮疹、面部肿胀、哮喘（喘息）、休克等症状。
• 胃部出血警告：使用该产品可能增加胃部出血的风险，尤其是如果孩子有胃部出血史、正在使用血液稀释剂或类固醇药物、或其他非处方或处方的NSAIDs（如阿司匹林、布洛芬、萘普生）。
• 心脏病和中风警告：除了阿司匹林外，NSAIDs增加心脏病发作、心力衰竭和中风的风险。
• 喉咙警告：严重或持续的喉咙痛或伴有高烧、头痛、恶心和呕吐的喉咙痛可能是严重的，应及时咨询医生。

2. 处理输入内容过多的问题

如果问题是由于输入内容过多导致的，可以考虑以下步骤：

• 文本摘要：使用自然语言处理技术提取关键信息，减少文本长度。
• 关键词提取：识别文本中的关键概念和实体，帮助模型更快地理解和回答。

3. 编写代码实现

以下是使用Python和NLTK库进行文本处理的示例代码：

import nltk
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize, sent_tokenize
from nltk.stem import WordNetLemmatizer
from nltk import FreqDist

nltk.download('punkt')
nltk.download('stopwords')
nltk.download('wordnet')

def preprocess_text(text):
    stop_words = set(stopwords.words('english'))
    lemmatizer = WordNetLemmatizer()
    words = word_tokenize(text.lower())
    words = [lemmatizer.lemmatize(word) for word in words if word.isalpha() and word not in stop_words]
    return words

def extract_keywords(text, num_keywords=10):
    words = preprocess_text(text)
    freq_dist = FreqDist(words)
    keywords = [word for word, count in freq_dist.most_common(num_keywords)]
    return keywords

def summarize_text(text, num_sentences=3):
    sentences = sent_tokenize(text)
    summary = ' '.join(sentences[:num_sentences])
    return summary

# Example usage
text = "Your text here"
keywords = extract_keywords(text)
summary = summarize_text(text)

print("Keywords:", keywords)
print("Summary:", summary)

4. 优化人工智能模型

如果模型的训练数据不足或模型能力限制，可以考虑：

• 增加训练数据：使用更多的专业医疗文本数据来训练模型。
• 模型优化：调整模型参数或使用更先进的模型架构。

5. 用户交互优化

在用户界面上，可以设计更友好的提示，引导用户以更合适的方式提供信息。例如：

• 提示用户分批提供信息。
• 提示用户提供关键信息摘要。

6. 错误处理和反馈机制

实现错误处理机制，当模型无法回答问题时，给出建设性的反馈，引导用户提供更多信息或以不同的方式提问。例如：

• “我目前无法回答这个问题，但如果您能提供更多具体信息，我将尽力帮助您。”

通过这些步骤，你可以更好地处理用户的问题，并优化你的人工智能模型和用户交互体验。