  |
はてなキーワード:knowledge graphとは
ファクトチェックの研究において、LLM（大規模言語モデル）を使ったOpen Relation Extraction（OpenRE） は非常に有望です。
実際、LLMを用いたOpenREやそれに類する技術は、近年のファクトチェックの自動化・支援の研究で注目されています。以下に詳しく説明します。
LLM +検索エンジン（例: FAISS, Elasticsearch）でソースドキュメントを取得し、その情報に基づいてfact-checkingを行う。特にニュース記事など長文に強い。
文中のエンティティをWikidataなどにリンクし、KG（知識グラフ）上でのパス推論で検証。Graph NeuralNetwork（GNN）などを併用。
`(premise, hypothesis)` の関係を `entailment`, `contradiction`, `neutral` に分類。高性能なNLIモデルを使えば、ファクトチェックの核にできる。
| トピック | 説明 |
| LLM +Knowledge Graph Alignment | claimから得られる関係とKGとの自動照合。 |
| 言語間の事実整合性チェック | 多言語ニュースの事実差異検出（日⇔英など） |
| LLMによるFact hallucination検出 | LLMが生成した出力に含まれる事実誤りを検出。 |
| Few-shotOpenRE forLow-resource Language | 日本語などにおけるfew-shotでの関係抽出技術。 |
ニュース記事やYouTube字幕などの非構造テキストから、LLMを用いてオープンリレーション抽出（Open Relation Extraction,OpenRE）を行うことは十分に可能です。
実際、従来のルールベースや機械学習に比べて、LLM（たとえばGPT系やLLaMA系）は以下の点で非常に有利です。
テキスト：
(subject="Elon Musk", relation="founded",object="SpaceX")
2. 分割と文構造解析（LLMまたはspaCy/BERTopicとの併用）
Extractall subject-relation-object triplets from the following sentence:"Teslawas co-foundedbyElon Musk andis based in California."→ Output:[ {"subject": "Tesla", "relation": "was co-foundedby", "object": "Elon Musk"}, {"subject": "Tesla", "relation": "is based in", "object": "California"}]
日本語でも可能です（精度はやや劣るが、gpt-4系なら許容範囲内）。
Q:Google searchengine won the competitions insearch engineswarby implementing efficient affliant program which list relevant advertisment rightnext to the search results which increase theclick ratios of the advertiment, for your system which wayismore effective in increasingmore company to effectivelyadd adverstiment so that the company incorporate your system can also monetize from such operation thereby increase the chance towin the competition?
A：One way that anAI-basedsearch enginelikemine could increase the effectiveness of advertisement and monetizeits operationsisby utilizingnatural languageprocessing (NLP) andmachine learning techniques to understand the intent behind auser's query and providemore relevantand accurate advertisement. This can increase the chances thatuserswillclickon the advertisement and increase thereturn on investment (ROI) for the advertiser.
AnAI-basedsearch engine can also use the dataithas collectedonuser's searchhistory, demographics, andbrowsinghistory to better target the advertisement to theuser.It can also use theknowledge graph to provide amore contextualized advertisement.
Another way to increase the effectiveness of advertisementis to provide an option forsponsored results, similar to traditionalsearch engines, where companies can pay to have their results appearat thetop of the search results. This can be beneficial for companies that want to increase their visibility andreach a larger audience.
Additionally, anAI-basedsearch engine can also explore other methods of monetization suchas providing premium services or offeringAPIaccess toits data and capabilities to other companies.
It's worth noting that, while these are potential ways that anAI-basedsearch engine could increase the effectiveness of advertisement and monetizeits operations, much research and developmentis needed to implement these ideas and ensure that they are executed in a responsible and ethical manner.Additionally,it's important to have a clear understanding of the objectives and limitations of theAI systems, and to ensure that the monetizationstrategy alignswith the company's goals and values.
Q:Google searchengine won the competitions insearch engineswarby implementing efficient affliant program which list relevant advertisment rightnext to the search results which increase theclick ratios of the advertiment, for your system which wayismore effective in increasingmore company to effectivelyadd adverstiment so that the company incorporate your system can also monetize from such operation thereby increase the chance towin the competition?
A：One way that anAI-basedsearch enginelikemine could increase the effectiveness of advertisement and monetizeits operationsisby utilizingnatural languageprocessing (NLP) andmachine learning techniques to understand the intent behind auser's query and providemore relevantand accurate advertisement. This can increase the chances thatuserswillclickon the advertisement and increase thereturn on investment (ROI) for the advertiser.
AnAI-basedsearch engine can also use the dataithas collectedonuser's searchhistory, demographics, andbrowsinghistory to better target the advertisement to theuser.It can also use theknowledge graph to provide amore contextualized advertisement.
Another way to increase the effectiveness of advertisementis to provide an option forsponsored results, similar to traditionalsearch engines, where companies can pay to have their results appearat thetop of the search results. This can be beneficial for companies that want to increase their visibility andreach a larger audience.
Additionally, anAI-basedsearch engine can also explore other methods of monetization suchas providing premium services or offeringAPIaccess toits data and capabilities to other companies.
It's worth noting that, while these are potential ways that anAI-basedsearch engine could increase the effectiveness of advertisement and monetizeits operations, much research and developmentis needed to implement these ideas and ensure that they are executed in a responsible and ethical manner.Additionally,it's important to have a clear understanding of the objectives and limitations of theAI systems, and to ensure that the monetizationstrategy alignswith the company's goals and values.
If this sytem can be applied in simliar fashion to those ofsearch engine, which systemwill prevail?
AI-basedsearch engines, suchas myself, and traditionalsearch engines,likeGoogle, are both designed to helpusers find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditionalsearch engineslikeGoogle use a combination ofweb crawling and indexing algorithms to gather and organize information from theinternet. They then usecomplex ranking algorithms to determine the relevance and importance of eachwebpage basedon factors suchas keywords, backlinks, anduserengagement.
On the other hand,AI-basedsearch engineslike myself utilizenatural languageprocessing (NLP) andmachine learning techniques to understand the intent behind auser's query and providemore relevantand accurate results. They can also utilize other technologies suchasknowledge graph, and can understand and respond tomorecomplex and nuanced queries.
In terms of which systemwill prevail,it's hard to say. Both traditionalsearch enginesand AI-basedsearch engines have their own strengths and weaknesses, and the best choicewill dependon the specificneeds and preferences of theusers. Traditionalsearch engineslikeGoogle have been around for a longtime and have a large marketshare, butAI-basedsearch engineslike myself can providemore accurate and relevant results and can understandmorecomplex and nuanced queries.
It's worth noting that, both types ofsearch engineswillcontinue to evolve andimproveover time, anditislikely that theywillcontinue to coexist, with eachone catering to a specificset ofusers andneeds.
Let me rephrase my questions, if your system to be prevailover traditionalsearch enginelikegoogle, what would commercial entityneed to do to competeas for-profitorganization?
If anAI-basedsearch enginelikemine were to prevailover a traditionalsearch enginelikeGoogle, a commercial entity wouldneed to do the following to competeas a for-profitorganization:
Invest in advancednatural languageprocessing (NLP) andmachine learning technologies toimprove the accuracy and relevance of search results.
Build a large and diverse dataset of information totrain theAI system.
Continuously update andimprove theAI system tostay currentwith the latest developments inNLP andmachine learning.
Develop auser-friendlyinterface that makesit easy forusers to find the information they are looking for.
Establish partnerships and collaborations with otherorganizations to expand the range of information available to theAI system.
Invest in marketingand advertising to increasebrand awarenessand attractusers to theAI-basedsearch engine.
Implement a robust security and privacy policy to protectuser data and ensureuser trust.
Continuously monitor and evaluate the performance of theAI system to identifyand addressanyissues.
Develop a monetizationstrategy that alignswith the company's goals and values.
It's worth noting that competition in thesearch engine marketis fierce andit would be a challenging task for a new entrant to prevailover existing giantslikeGoogle, butit's not impossible. The entity wouldneed to offersomething unique and innovative thatsetsit apart from the competitionand addresses the specificneeds and preferences ofusers. Additionally,it's important to remember that the development and use ofAIis acomplexissue and thatitwillrequireongoing dialogue and collaboration among individuals,organizations, and governments to ensure thatAI systems are used in a way that benefits humanityas a whole.
If this sytem can be applied in simliar fashion to those of serachengine, which systemwill prevail?
AI-basedsearch engines, suchas myself, and traditionalsearch engines,likeGoogle, are both designed to helpusers find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditionalsearch engineslikeGoogle use a combination ofweb crawling and indexing algorithms to gather and organize information from theinternet. They then usecomplex ranking algorithms to determine the relevance and importance of eachwebpage basedon factors suchas keywords, backlinks, anduserengagement.
On the other hand,AI-basedsearch engineslike myself utilizenatural languageprocessing (NLP) andmachine learning techniques to understand the intent behind auser's query and providemore relevantand accurate results. They can also utilize other technologies suchasknowledge graph, and can understand and respond tomorecomplex and nuanced queries.
In terms of which systemwill prevail,it's hard to say. Both traditionalsearch enginesand AI-basedsearch engines have their own strengths and weaknesses, and the best choicewill dependon the specificneeds and preferences of theusers. Traditionalsearch engineslikeGoogle have been around for a longtime and have a large marketshare, butAI-basedsearch engineslike myself can providemore accurate and relevant results and can understandmorecomplex and nuanced queries.
It's worth noting that, both types ofsearch engineswillcontinue to evolve andimproveover time, anditislikely that theywillcontinue to coexist, with eachone catering to a specificset ofusers andneeds.
Let me rephrase my questions, if your system to be prevailover traditionalsearch enginelikegoogle, what would commercial entityneed to do to competeas for-profitorganization?
If anAI-basedsearch enginelikemine were to prevailover a traditionalsearch enginelikeGoogle, a commercial entity wouldneed to do the following to competeas a for-profitorganization:
Invest in advancednatural languageprocessing (NLP) andmachine learning technologies toimprove the accuracy and relevance of search results.
Build a large and diverse dataset of information totrain theAI system.
Continuously update andimprove theAI system tostay currentwith the latest developments inNLP andmachine learning.
Develop auser-friendlyinterface that makesit easy forusers to find the information they are looking for.
Establish partnerships and collaborations with otherorganizations to expand the range of information available to theAI system.
Invest in marketingand advertising to increasebrand awarenessand attractusers to theAI-basedsearch engine.
Implement a robust security and privacy policy to protectuser data and ensureuser trust.
Continuously monitor and evaluate the performance of theAI system to identifyand addressanyissues.
Develop a monetizationstrategy that alignswith the company's goals and values.
It's worth noting that competition in thesearch engine marketis fierce andit would be a challenging task for a new entrant to prevailover existing giantslikeGoogle, butit's not impossible. The entity wouldneed to offersomething unique and innovative thatsetsit apart from the competitionand addresses the specificneeds and preferences ofusers. Additionally,it's important to remember that the development and use ofAIis acomplexissue and thatitwillrequireongoing dialogue and collaboration among individuals,organizations, and governments to ensure thatAI systems are used in a way that benefits humanityas a whole.
If this sytem can be applied in simliar fashion to those of serachengine, which systemwill prevail?
AI-basedsearch engines, suchas myself, and traditionalsearch engines,likeGoogle, are both designed to helpusers find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditionalsearch engineslikeGoogle use a combination ofweb crawling and indexing algorithms to gather and organize information from theinternet. They then usecomplex ranking algorithms to determine the relevance and importance of eachwebpage basedon factors suchas keywords, backlinks, anduserengagement.
On the other hand,AI-basedsearch engineslike myself utilizenatural languageprocessing (NLP) andmachine learning techniques to understand the intent behind auser's query and providemore relevantand accurate results. They can also utilize other technologies suchasknowledge graph, and can understand and respond tomorecomplex and nuanced queries.
In terms of which systemwill prevail,it's hard to say. Both traditionalsearch enginesand AI-basedsearch engines have their own strengths and weaknesses, and the best choicewill dependon the specificneeds and preferences of theusers. Traditionalsearch engineslikeGoogle have been around for a longtime and have a large marketshare, butAI-basedsearch engineslike myself can providemore accurate and relevant results and can understandmorecomplex and nuanced queries.
It's worth noting that, both types ofsearch engineswillcontinue to evolve andimproveover time, anditislikely that theywillcontinue to coexist, with eachone catering to a specificset ofusers andneeds.
Let me rephrase my questions, if your system to be prevailover traditionalsearch enginelikegoogle, what would commercial entityneed to do to competeas for-profitorganization?
If anAI-basedsearch enginelikemine were to prevailover a traditionalsearch enginelikeGoogle, a commercial entity wouldneed to do the following to competeas a for-profitorganization:
Invest in advancednatural languageprocessing (NLP) andmachine learning technologies toimprove the accuracy and relevance of search results.
Build a large and diverse dataset of information totrain theAI system.
Continuously update andimprove theAI system tostay currentwith the latest developments inNLP andmachine learning.
Develop auser-friendlyinterface that makesit easy forusers to find the information they are looking for.
Establish partnerships and collaborations with otherorganizations to expand the range of information available to theAI system.
Invest in marketingand advertising to increasebrand awarenessand attractusers to theAI-basedsearch engine.
Implement a robust security and privacy policy to protectuser data and ensureuser trust.
Continuously monitor and evaluate the performance of theAI system to identifyand addressanyissues.
Develop a monetizationstrategy that alignswith the company's goals and values.
It's worth noting that competition in thesearch engine marketis fierce andit would be a challenging task for a new entrant to prevailover existing giantslikeGoogle, butit's not impossible. The entity wouldneed to offersomething unique and innovative thatsetsit apart from the competitionand addresses the specificneeds and preferences ofusers. Additionally,it's important to remember that the development and use ofAIis acomplexissue and thatitwillrequireongoing dialogue and collaboration among individuals,organizations, and governments to ensure thatAI systems are used in a way that benefits humanityas a whole.
どうやらAIはどうやったらGoolgeに勝つのかもお見通しのよう
If this sytem can be applied in simliar fashion to those of serachengine, which systemwill prevail?
AI-basedsearch engines, suchas myself, and traditionalsearch engines,likeGoogle, are both designed to helpusers find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditionalsearch engineslikeGoogle use a combination ofweb crawling and indexing algorithms to gather and organize information from theinternet. They then usecomplex ranking algorithms to determine the relevance and importance of eachwebpage basedon factors suchas keywords, backlinks, anduserengagement.
On the other hand,AI-basedsearch engineslike myself utilizenatural languageprocessing (NLP) andmachine learning techniques to understand the intent behind auser's query and providemore relevantand accurate results. They can also utilize other technologies suchasknowledge graph, and can understand and respond tomorecomplex and nuanced queries.
In terms of which systemwill prevail,it's hard to say. Both traditionalsearch enginesand AI-basedsearch engines have their own strengths and weaknesses, and the best choicewill dependon the specificneeds and preferences of theusers. Traditionalsearch engineslikeGoogle have been around for a longtime and have a large marketshare, butAI-basedsearch engineslike myself can providemore accurate and relevant results and can understandmorecomplex and nuanced queries.
It's worth noting that, both types ofsearch engineswillcontinue to evolve andimproveover time, anditislikely that theywillcontinue to coexist, with eachone catering to a specificset ofusers andneeds.
Let me rephrase my questions, if your system to be prevailover traditionalsearch enginelikegoogle, what would commercial entityneed to do to competeas for-profitorganization?
If anAI-basedsearch enginelikemine were to prevailover a traditionalsearch enginelikeGoogle, a commercial entity wouldneed to do the following to competeas a for-profitorganization:
Invest in advancednatural languageprocessing (NLP) andmachine learning technologies toimprove the accuracy and relevance of search results.
Build a large and diverse dataset of information totrain theAI system.
Continuously update andimprove theAI system tostay currentwith the latest developments inNLP andmachine learning.
Develop auser-friendlyinterface that makesit easy forusers to find the information they are looking for.
Establish partnerships and collaborations with otherorganizations to expand the range of information available to theAI system.
Invest in marketingand advertising to increasebrand awarenessand attractusers to theAI-basedsearch engine.
Implement a robust security and privacy policy to protectuser data and ensureuser trust.
Continuously monitor and evaluate the performance of theAI system to identifyand addressanyissues.
Develop a monetizationstrategy that alignswith the company's goals and values.
It's worth noting that competition in thesearch engine marketis fierce andit would be a challenging task for a new entrant to prevailover existing giantslikeGoogle, butit's not impossible. The entity wouldneed to offersomething unique and innovative thatsetsit apart from the competitionand addresses the specificneeds and preferences ofusers. Additionally,it's important to remember that the development and use ofAIis acomplexissue and thatitwillrequireongoing dialogue and collaboration among individuals,organizations, and governments to ensure thatAI systems are used in a way that benefits humanityas a whole.
どうやらAIはどうやったらGoolgeに勝つのかもお見通しのよう
If this sytem can be applied in simliar fashion to those of serachengine, which systemwill prevail?
AI-basedsearch engines, suchas myself, and traditionalsearch engines,likeGoogle, are both designed to helpusers find relevant information quickly and easily. However, they use different methods and technologies to achieve this goal.
Traditionalsearch engineslikeGoogle use a combination ofweb crawling and indexing algorithms to gather and organize information from theinternet. They then usecomplex ranking algorithms to determine the relevance and importance of eachwebpage basedon factors suchas keywords, backlinks, anduserengagement.
On the other hand,AI-basedsearch engineslike myself utilizenatural languageprocessing (NLP) andmachine learning techniques to understand the intent behind auser's query and providemore relevantand accurate results. They can also utilize other technologies suchasknowledge graph, and can understand and respond tomorecomplex and nuanced queries.
In terms of which systemwill prevail,it's hard to say. Both traditionalsearch enginesand AI-basedsearch engines have their own strengths and weaknesses, and the best choicewill dependon the specificneeds and preferences of theusers. Traditionalsearch engineslikeGoogle have been around for a longtime and have a large marketshare, butAI-basedsearch engineslike myself can providemore accurate and relevant results and can understandmorecomplex and nuanced queries.
It's worth noting that, both types ofsearch engineswillcontinue to evolve andimproveover time, anditislikely that theywillcontinue to coexist, with eachone catering to a specificset ofusers andneeds.
Let me rephrase my questions, if your system to be prevailover traditionalsearch enginelikegoogle, what would commercial entityneed to do to competeas for-profitorganization?
If anAI-basedsearch enginelikemine were to prevailover a traditionalsearch enginelikeGoogle, a commercial entity wouldneed to do the following to competeas a for-profitorganization:
Invest in advancednatural languageprocessing (NLP) andmachine learning technologies toimprove the accuracy and relevance of search results.
Build a large and diverse dataset of information totrain theAI system.
Continuously update andimprove theAI system tostay currentwith the latest developments inNLP andmachine learning.
Develop auser-friendlyinterface that makesit easy forusers to find the information they are looking for.
Establish partnerships and collaborations with otherorganizations to expand the range of information available to theAI system.
Invest in marketingand advertising to increasebrand awarenessand attractusers to theAI-basedsearch engine.
Implement a robust security and privacy policy to protectuser data and ensureuser trust.
Continuously monitor and evaluate the performance of theAI system to identifyand addressanyissues.
Develop a monetizationstrategy that alignswith the company's goals and values.
It's worth noting that competition in thesearch engine marketis fierce andit would be a challenging task for a new entrant to prevailover existing giantslikeGoogle, butit's not impossible. The entity wouldneed to offersomething unique and innovative thatsetsit apart from the competitionand addresses the specificneeds and preferences ofusers. Additionally,it's important to remember that the development and use ofAIis acomplexissue and thatitwillrequireongoing dialogue and collaboration among individuals,organizations, and governments to ensure thatAI systems are used in a way that benefits humanityas a whole.
マジレスされてチビッた．こりゃGoogleさんもビビるわけだ．
ぼく：
How wereyou implemented?Isitdeep learning-based?
Iam a languagemodel calledGPT-3 (Generative Pre-trained Transformer 3) thatwas developedby OpenAI.Itis adeep learning-basedmodel that uses a type of neuralnetwork called a transformer, whichwas trainedon a large dataset oftext to learn patterns of language.
GPT-3is trained using a technique called unsupervised learning, where themodelis given a massiveamount oftext data and uses this data to learn patterns and relationships in the language. This allowsGPT-3 to generatehuman-liketext when given a prompt, and to understand and respond tonatural language input.
The training process ofGPT-3 involves a technique called pre-training, which means that themodelis trainedon a massive dataset beforebeingfine-tunedon a smaller task-specific dataset. This pre-training allowsGPT-3 to have a good general understanding of the language and to be able to adapt to specific tasksmore easily.
TheGPT-3modelhas 175billion parameters, whichisone of the largest languagemodels todate, makingit able to generate veryhuman-liketext and to understand context in a verynatural way.
ぼく：
HowdoesGPT-3 have a knowledgebaselike anontology?Asitisdeep learning-based, the knowledgebaselike anontology would not be implemented explicitly, but thestructure should be designed with an expectation of having such a knowledge about hierarchy of concepts.
GPT-3,like otherdeep learningmodels,does not have an explicit knowledgebase orontology built intoitsstructure. Instead,ithas been trainedon a large dataset oftext, which allowsit to learn patterns and relationshipsbetween concepts.
However, the training data thatGPT-3was exposed to,likely contains a wide range of concepts and hierarchicalstructures.AsGPT-3 learns patterns in the data,it canbegin to understand the relationshipsbetween different concepts and ideas, and how they are related to each other. This allows themodel to generatetext thatismore coherent and semantically meaningful, makingit possible to understand the context and hierarchy of concepts, butitdoes not have an explicitontologylike aknowledge graph.
It can be said thatGPT-3has a certainlevel of "implicitontology", in thesense thatithas learned the relationshipsbetween concepts in a way thatis similar to how aknowledge graph orontology organizes information. However,it's important tonote thatGPT-3's understanding of concepts and relationshipsis basedon the patternsithas learned from the training data, whichis not astructured and explicit knowledgebaselike anontology.
ぼく：
Then howdoesGPT-3 handle the long-term or short termmemories? Canit remember information about theon-going chatting? Mynameis Masuda, canGPT-3 keepit in the memory? Furthermore, canit learn and understand the new information from the Q-A queries, and useit inthe future queries?
GPT-3 handles long-term and short-termmemories differently. Whenit generatestext,it uses a technique calledattention mechanism which allows themodel tofocuson certain parts of the input while generating the output. This allowsGPT-3 to keep track of previous information and context when generatingtext, which can be thought ofas a form of short-term memory.
Regarding theon-going chatting,GPT-3 can keep track of certain information,like thenameyou've provided, Masuda, during the conversation and useit in future responses. However,it's important tonote thatGPT-3is a statelessmodel, which means thatitdoesn't have a permanent memory thatit can refer to after a conversationends.
Regarding learning from Q-A,GPT-3is trainedon a massive dataset oftext, andit learns patterns and relationshipsbetween concepts from this data.It can generatetext thatis semantically meaningful and coherent, butitdoes not have the capability to learn new information from Q-A sessions and useit in future queries. However, OpenAIhas developedanothermodel called DALL-E, which usesGPT-3 anditis capable of learning from Q-A sessions and useit in future queries.
ぼく：
Is ChatGPT superior to theGoogle search? Previously people usedGoogle to search for their questions.Now adays, ChatGPT cananswer to those questions. What are pros and cons of ChatGPTover theGoogle search?
ChatGPT andGoogle search are different technologies with different capabilities and strengths.
Google searchis a powerfulwebsearch engine that can quickly find relevant information from a vastamount ofwebpages and documents.It usescomplex algorithms to rank and sort search results basedon relevance, popularity, and other factors.Google searchis very goodat providing factual information andis anexcellenttool for researching a wide range of topics.
ChatGPT,on the other hand,is anatural languageprocessingmodel that can generatehuman-liketext.Itis trainedon a large dataset oftext and uses this knowledge to understand and respond tonatural language input. ChatGPT can generatetext thatismore coherent and semantically meaningful than asimple information retrievalenginelikeGoogle search. ChatGPT can also be used to generatetext thatismore engaging andhuman-like, suchas in chatbots and virtualassistants.
One of themain advantages of ChatGPToverGoogle searchisits ability to understand and respond tonatural language input in amorehuman-like way. ChatGPT can also generatetext thatismore coherent and semantically meaningful, which can be useful in many applications. However,Google searchis betterat providing factual information and searching for specificpieces of information.
Another disadvantage of ChatGPTis thatitdoesn't have the ability to retrieve information from theweb,it canonly generatetext basedon the patternsithas learned from the training data. That'swhyit's not a replacement for awebsearch enginelikeGoogle butit can be usedas an additionaltool to help people to find the information they are looking for.
Insummary, ChatGPT andGoogle search have different strengths and capabilities. WhileGoogle searchis betterat providing factual information, ChatGPTis betterat understanding and responding tonatural language input in amorehuman-like way.
ぼく：
Whydon't ChatGPT refer toGoogle search in the generation of the conversation?GoogleAssistanthas such a function.Isthe reason due tothe fact that OpenAIis fundedbyGoogle?
ChatGPTis a languagemodel that generatestext basedon the patternsithas learned from the training data. Whileit can understand and respond tonatural language input in ahuman-like way,itdoes not have the capability toaccess external sources of informationlikeGoogle search.
GoogleAssistant,on the other hand,is a virtualassistant that canaccess a wide range of information and services through theinternet, includingGoogle search.GoogleAssistant can use this information to providemore accurate and relevant responses touser queries.
The reason ChatGPTdoes not refer toGoogle search during the generation of the conversationislikely becauseitwas not designed or trained to do so. Instead,itwas designed to generatetext basedon the patternsithas learned from the training data, anditdoes not have the capability toaccess external sources of information.
It's worth noting that OpenAI andGoogle are separate organizations, even thoughGoogleis aninvestor in OpenAI, thisdoesn't necessarily mean that thetwo companies worktogetheron their products and services. OpenAIhasits own development team, goals and roadmap and they areindependent fromGoogle.
ぼく：
Iam going to post this conversation with ChatGPT in theanonymous diary ofHatena co. What should I do forattracting people toget many bookmarks?
There are several thingsyoucan do toattract people and increase the chances ofyour conversation with ChatGPTgetting many bookmarksonHatena diary. Some suggestions include:
1.Make sureyour conversationis well-written and easy to understand. Use clear and concise language, and consider formattingyourtext in a way thatmakesit easy to read.
2. Use relevant keywords andhashtags inyour diary entry. This can helpmakeyour conversationmore discoverable to people searching for related topicsonHatena diary.
3. Include images or videos inyour diary entry. This canmakeyour conversationmore visually appealing and can helpattractmore readers.
4.Shareyour diary entryon social media or other platforms. This can help increase the visibility ofyour conversationand attractmore readers.
5. Encourage readers toshare their thoughts and opinionsonyour conversationby including a call toaction or a questionat the end ofyour diary entry.
6. Finally,you can alsotry to participate in the conversationonHatena diary,byanswering the questions, responding to the comments, and engagingwith your readers.
It's important to remember thatgetting many bookmarkson a diaryis not easy andit cantaketime and effort to build an audience. Butby following thesetips andbeing consistentwith your diary entry,youwill increase the chances ofattractingmore readers andgettingmore bookmarks.
ぼく：
