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Typefully
@typefully
We're launching a Command Bar today with great commands and features.
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Turn your tweets & threads into a social blog
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@aaditsh
I think this thread hook could be improved.
@frankdilo
On it 🔥
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Easlo
@heyeaslo
Reply with "Notion" to get early access to my new template.
Jaga
@kandros5591
Notion 🙏
DM Sent
Create giveaways with Auto-DMs
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Auto-Split Text in Posts
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Creators love Typefully
180,000+ creators and teams chose Typefully to curate their Twitter presence.
Marc Köhlbrugge@marckohlbrugge
Tweeting more with @typefully these days.
🙈 Distraction-free
✍️ Write-only Twitter
🧵 Effortless threads
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I recommend giving it a shot.
Jurre Houtkamp@jurrehoutkamp
Typefully is fantastic and way too cheap for what you get.
We’ve tried many alternatives at @framer but nothing beats it. If you’re still tweeting from Twitter you’re wasting time.
DHH@dhh
This is my new go-to writing environment for Twitter threads.
They've built something wonderfully simple and distraction free with Typefully 😍
Santiago@svpino
For 24 months, I tried almost a dozen Twitter scheduling tools.
Then I found @typefully, and I've been using it for seven months straight.
When it comes down to the experience of scheduling and long-form content writing, Typefully is in a league of its own.
Luca Rossi ꩜@lucaronin
After trying literally all the major Twitter scheduling tools, I settled with @typefully.
Killer feature to me is the native image editor — unique and super useful 🙏
Visual Theory@visualtheory_
Really impressed by the way @typefully has simplified my Twitter writing + scheduling/publishing experience.
Beautiful user experience.
0 friction.
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@aaditsh
I think this thread hook could be improved.
@frankdilo
On it 🔥
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GPT-3 and ChatGPT
Although they work in quite a similar manner, they are different from each other in some aspects.
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• GPT-3 is a large language model which is trained on text data from diverse resources.
• GPT-3 can be fine-tuned for a wide variety of NLP tasks, like
Sentiment Analysis
Text Classification
Text Summarizing
Translation, etc.
• While ChatGPT is a specialized version of GPT-3 designed and trained on data for conversational human like responses.
• It has been customized to answer more specific scenarios common to conversational usecases.
• The biggest usecase is in chatbots.
• GPT-3 is much larger with 175 Billion paramerters.
• While ChatGPT is only 20 Billion parameters.
• So GPT-3 is capable to providing responses with more knowledge but in a conventional way.
• ChatGPT on the other hand has comparatively less knowledge but gives the answers in an engaging way and keeps track of the dialogues.
• I personally like GPT-3 very much merely because of the vast amount of enterprise use-cases that it can cater.
• However, the mainstream popularity of ChatGPT can't be ignored which largely due to the explanations and its human-like responses.