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Which tool is the most effective one for generating content and Why you choose this??
Posted by souravprashar on April 8, 2023 at 7:05 amHelp
[View Poll](https://www.reddit.com/poll/12feev5)
souravprashar replied 1 year, 1 month ago 2 Members · 1 Reply -
1 Reply
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PoojaGupta05
GuestApril 8, 2023 at 10:22 amI Prefer to use CHAT GPT it is good in creating content as compared to bard and Bing
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[deleted]
GuestApril 8, 2023 at 11:54 am[deleted]
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spacpro
GuestApril 8, 2023 at 12:02 pmWe created https://writeseed.com for this purpose which also shows you keyword density, reading score and related keywords including search volume.
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habdks
GuestApril 8, 2023 at 12:19 pmMe brain
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Narrow-Trick6124
GuestApril 8, 2023 at 4:00 pmMe brain
Reason: I prefer sharing my personal experience with my audience and not some randomly generated content.
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wellwisher_a
GuestApril 8, 2023 at 4:24 pmEveryone will cry later after using bots for generating content. Instead use Jasper, write sonic or Scalenut. They are Marketing themselves as content ai tools.
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xavierpenn
GuestApril 8, 2023 at 6:17 pmTheir latest update in ChatGPT fixed a ton of accuracy issues.
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hodreegoo
GuestApril 8, 2023 at 8:59 pmBard, bc it is up-to-date compared to the mighty GPT.
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keyserholiday
GuestApril 8, 2023 at 9:18 pmNone of the above. From my experience with. ChatGPT, from watching people using it to post answers here and other forums, it get a lot of content wrong. My buddy used Bard to craft an email on why responding to reviews matter. Bard said, it increases rankings. The amount of editing you have to do, doesn’t make it worth it.
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ITFaisal-net
GuestApril 9, 2023 at 2:55 amChatGPT
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Anzimbu55
GuestApril 9, 2023 at 7:29 amOne of the strengths of ChatGPT is its large size and high capacity for learning and generating natural language text. It was trained on a massive amount of data, which allows it to recognize and understand a wide range of topics and language patterns. Additionally, it was designed to generate coherent and contextually appropriate responses to human-generated prompts, which has made it highly effective in various NLP applications such as chatbots, language translation, and text completion.
Another factor that contributes to ChatGPT’s success is its architecture, which is based on a transformer neural network. This allows the model to capture and analyze the relationships between different words and phrases within a sentence, and use this information to generate more accurate and contextually appropriate responses.
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