Discover and read the best of Twitter Threads about #gpt3

Most recents (24)

🏁 Here we go with Part 3

While I was writing Part 2 I finally got my #gpt4 API access 🥳

Using the API #chatgpt, it answers at least 3x faster, cool

So we're back on track from the @openapi playground while literally siphoning my 💵

Some thoughts about that...

#gpt4 is ~20x more expensive than #gpt3

After 10 minutes I ended up maxing the context (what's taken into account for the response) and I was already at $2.18

May seem small but it really depends on your situation 🌎

2/11 A bar graph showing an amou...
When you figure out the Purchasing Power Parity between countries, or even within the same country, those $2 for 20 minutes of #gpt4 can represent a lot and is out of reach for some

Hopefully there are 4 things that'll likely happen 👇

Read 11 tweets
Offering FREE access to #GPT4 and comparing with #GPT3.

Retweet for instant access (follow so I can DM you).

#openai #ai #tech #chatgpt Image
Is water wet?
GPT4 gives a direct answer.

GPT3 responds "As an AI language model..." Image
this is a limited time offer. i may not keep this up forever so take advantage while you can! #ai #gpt4
Read 5 tweets
I already love #GPT4

I love it so much that I'm getting it to turn itself into a fully functional pair programming assistant inside of a #vscode extension

4 hours in, it’s already writing 90% of its own code

To do this, I'm teaching it a new language

1/? 👇
#GPT4 is surely amazing, but its top current limitation is interactivity. Out of the box, #chatgpt4 has no way of directly with outside systems, which is a drag

The thing is, you can actually teach it to

But first, let’s analyze the way we interact with the chat website

When asking for code or shell commands, #GPT4 always responds with a code block

There are a couple of ways I interact with those

1. For commands, select, copy, paste. Line by line

2. For files, I click “copy” button

3. For partial files: select, copy, paste

Read 37 tweets
all my friends who read a lot when young are successful now

i think reading is probably the more important thing you can do in elementary school

if ur brain is like an LLM, you should maximize the # of tokens it sees while training
i read so much in elementary school that writing is very easy for me. i liken it to next token prediction.

SAT/ACT grammar came very easy for me, i just went off of what sounded right. idioms as well, even though my family isn't native english speaker. but id read all them
Read 8 tweets
⚡️ #GPT4 est là depuis moins de 24 h et les applications captivantes se multiplient !

Je les liste dans ce thread au fur et à mesure de mes découvertes !

🚨 Évidemment, commençons par l'annonce d'@OpenAI et leur démo vidéo captivante !

🔥 Les essais percutants de @Yeca, orienté #SEO bien sûr ! #SEOEnAction
Que vous pouvez retrouver dans ce thread :
Read 24 tweets
首先我们通过New bing(如果你还没有可以切换成日本IP申请,大概率秒过),来询问它有关ChatGPT的消息:

于是我选了他给出的其中一个参考网站,得到进一步信息(此处用的是 @yetone 的翻译插件,前文中已提到之后不会再提),下面继续解读这几条
1,它将基于 GPT-4,这是一个新的语言模型,它将拥有万亿个参数,相比之下 GPT-3.5 只有 1750亿。

等一下,这条似乎是一个长久以来的谣言?比如下面这条(而且这条没区分 #ChatGPT4#GPT4,也没区分 #GPT3 和 GPT3.5 )。我记得我看到过GPT3和GPT4模型大小不会差太多。

Read 9 tweets
ICYMI - I made an AI-generated deck builder over the weekend 🔥

3 versions:

📊 Startup Description > Pitch Deck
👩‍🏫 Prompt > Lesson Slides (#education)
📚 Topic > Illustrated children's story

Check them out 🔻
📊 Startup Description > Pitch Deck

Here's the first thread, where you can see it evolving over time.

1) First, generated title + body text w #gpt3
2) Added AI selected color
3) Added AI selected font
4) Added #dalle image

👩‍🏫 Prompt > Lesson Slides (#education)

Here's "AutoLessons", for generating lesson slides.

Examples in thread.
Read 4 tweets
1/10 Working with LLMs is exciting & powerful, but there are few things I wish I had known getting started with prompt engineering.

Here are 8 tips for getting the most out of @Cohere's Generate, #ChatGPT, #GPT3, and other text generation models🧵👇🏻

I am using @CohereAI 's Generate to illustrate my points.

1. Start small!

Don’t try to do too much at once. Give the model simple, straightforward tasks and gradually build up to more complex ones.

A great example of a simple instruction can start with: "Write a ....".

2. Experiment and iterate.

Make a rule of experimenting with different versions of your prompt to see what works best for your model. Even small tweaks can do wonders for the quality of your output. 🧪👩‍🔬
Read 10 tweets
POSSIBLE $2k Airdrop Guide

$Blur worth over $20K at ATH,
If you missed $Blur then don't miss this.

Don't wanna Cope? Participate in this Now.

A Thread 🧵. Like & RT For Frens
It's no news that testnet participants get nicely rewarded for having to participate in the #Testnet phase of @MyMetaTrader is the next-gen leverage trading platform built on @Arbitrum with #GPT3
@MyMetaTrader is the next-gen leverage trading platform built on @Arbitrum with #GPT3

Some of $MMT Use cases are;
Read 12 tweets
looks like @openai bought the domain and hooked it up to chatgpt.

maybe everyone alr knew this and im just finding out lol...

accidentally found this out bc i was curious who owned the domain.

#ai #chatgpt #openai #gpt3
Is this a legacy openai site? cute
i think im playing with DALLE1 or something, this is kinda fun. it gives eight pictures and there are social share buttons embedded for each pic
Read 6 tweets
With AskFred, we're applying all the incredible tech that powers #ChatGPT to a very tailored problem: Meetings!

@firefliesai is fortunate to collab with companies like @OpenAI

A special thank you to @vkhosla @SVenkatachalam @khoslaventures for making this possible
Meetings is where we spend 1/3 of our work life

I now have an AI assistant that I can talk to about any conversation I've ever had... giving me perfect recall so I can better understand

My customers
My candidates
My colleagues
My company
Knowledge originates in meetings
Knowledge is also buried in meetings

To address that, we made @firefliesai be the de-facto conversational knowledge base built on top of meetings

Tech like #gpt3 enables us to extract knowledge more effectively... #AskFred is a result of that Image
Read 5 tweets
«Lo de automatizar cosas suena bien... pero no sé qué podría automatizar yo»

¿Te suena? Lo he escuchado mil veces y quiero ponerle remedio.

1 RT🔂 = 💡1 idea de proceso automatizable

🔥Vamos a ganarle la batalla al reloj🔥

¿Jugamos? Tengo 109 ideas preparadas
@salonsoweb 1.
¿Y si mañana Zuckerberg te cierra Instagram?
💡Idea de backup: cada vez que subes una foto, mándala automáticamente a Dropbox.

Ya que estás, guárdate también ese texto molón que has añadido para que no se pierda como lágrimas en la lluvia...
@salonsoweb 2.
¿Y si pudieras leer un #podcast?
✅Detecta nuevos episodios
✅Descarga el audio desde el feed
✅Pásalo por una API de transcripción
✅Guárdate el resultado en un fichero de texto
(suena más loco de lo que es)
Read 110 tweets
New WP: 🚨Artificial Intelligence Can Persuade Humans on Political Issues🚨Large language models (like #ChatGPT and #GPT3) are changing the world. Here we show that GPT3 can write messages that change people’s attitudes on important policy issues 🧵1/11 ImageImageImage
AI can now create art, write articles, and outperform humans on many tasks. It is an increasingly high-stakes concern whether AI could be used in political communication, such as online commenting, texting voters, and writing to legislators. 2/11
But how effective is AI at influencing humans’ political attitudes? Research on political persuasion generally finds small effect sizes, and political persuasion is challenging, potentially drawing on complex skills like logical reasoning and clarity of expression. 3/11
Read 11 tweets
.@OpenAI's #GPT3 now powering @todoist! 🔥

Here's a quick look at all the cool things you can do with it!


Let's dive in! 🧵↓ Image

Break down tasks into smaller, more manageable actions

Making cryptic or complex tasks more actionable
Read 6 tweets
The following technique can be used to bypass AI text detection. Use it for ethical purposes only!👇
1. Generate whatever text you want with ChatGPT. Then reply to ChatGPT with the following:

"When it comes to writing content, two factors are crucial, "perplexity" and "burstiness." Perplexity measures the complexity of text. Separately, burstiness compares the variations👇
of sentences. Humans tend to write with greater burstiness, for example, with some longer or complex sentences alongside shorter ones. AI sentences tend to be more uniform. 👇
Read 6 tweets
We are getting closer to “Her” where conversation is the new interface.

Siri couldn’t do it, so I built an e-mail summarizing feature using #GPT3 and life-like #AI generated voice on iOS.

(🔈Audio on to be 🤯with voice realism!)

How did I do this? 👇
I used the Gmail API to feed in recent unread e-mails into a prompt and send to the @OpenAI #GPT3 Completion API. Calling out details such as not “just reading them out” and other prompt tweaks gave good results
@OpenAI Here are the settings I used, you can see how #GPT3 does a great job of conversationally summarizing. (For the sake of privacy I made up the e-mails shown in the demo)
Read 5 tweets
How to get started with machine learning: From 0 to Engineer.

1. Math - via @khanacademy

Use these resources (all links in the last tweet):

- Khan Academy - Multivariable Calculus
- Khan Academy - Differential Equations
- Khan Academy - Linear Algebra
- Khan Academy - Statistics Probability
2. Learn Python - via @freeCodeCamp

- Learn Python: Full Course For Beginners
- Intermediate Python: Programming Course
Read 11 tweets
Okay, it's getting weird now...

Introducing "fuzzy.js" 🧶

An experimental approach to using #gpt3 as a back-end, communicated via HTML attributes.

Automatically fills in data.
You can get multiple items by repeating the same fuzzy_atr.

Just make sure the number of each match. (ie. if you have 3 "names", make sure have 3 "addresses")
Attributes are used for describing the data field you want.

Describe the overall data you want when you call the fuzzyapi().
Read 7 tweets
Wanna build the next ChatGPT?

Here's a 6 month learning plan for AI large language models (LLMs) from scratch.

1. Familiarize yourself with basic machine learning concepts and Python programming.


1.1. Introduction to Machine Learning with Python by Andreas Müller and Sarah Guido

1.2. Python Machine Learning by @rasbt
2. Learn about natural language processing (NLP) and its applications.


2.1. Speech and Language Processing by Daniel Jurafsky and James H. Martin

2.2. Natural Language Processing with Python by Steven Bird, Ewan Klein, and Edward Loper
Read 8 tweets
I always get a little excited when I convince #ChatGPT to do something it normally refuses to do 🏆

It wouldn't make me an email list of common names, but it would make a list of names with extra stuff added on the end on subsequent prompts 😉 #OpenAI #gpt3
PS: None of those email addresses are real so far as I know. They are just different permutations based on input to ChatGPT 🤣 So if you think somehow you're going to reach any of those people you're dreaming. But you might find a scammer camped out on their name 🍿
However, one of these may or may not be real 😏
Read 4 tweets
Oh wow!🥳

#gpt3 can build #nocode workflows with #ai.

Fed it two of my workflows as examples, and it successfully generated a third workflow based on query.

Imported to @zapier and it works! ⚡️

Right image: output. Left image: Imported flow. ImageImage
I should throw all my workflows as JSON in an airtable, and embed to find the most similar flows (cc @gpt_index), and use two of those as examples and this should get pretty robust.
Some ppl who I know will like this: @bentossell @mikeknoop @bencmejla
Read 4 tweets
Did some "testing" with the #ChatGPT (or #GPT3) detector by Hello-SimpleAI.

1. It's much more accurate than the GPT2 detector. All zero-shot prompt texts were detected. (but to be honest, anybody that works with ChatGPT on a daily basis can detect a ChatGPT text in 2 seconds)
2. Long-prompt generations (especially from GPT3 playground) and summaries: not so much. About 8 out of 10 texts were not detected.
3. Reworked text or "text combinations" (several layers of AI interactions): zero detection
4. Translations in German: almost zero detection
Tl;dr: Helpful tool for ChatGPT detection. But the bigger question is: should text (content) that is improved / re-written / corrected / translated / transformed by a #LLM be detectable? And if so, why don't we label highly altered or enhanced pictures, videos or audio?
Read 5 tweets
It's been a blast building on #gpt3 since August. 😆

I've built and shared a few dozen apps and prototypes.

I often get asked this, so...

Here's a list of some favorites! 👇
1) ⚡️Official @OpenAI x @zapier integration

This is the most popular by far.

Originally an unofficial integration I built for myself, it is now powering the next generation of #AI x #NoCode tools.

2) 🔀Fuzzy Compiler

Turns "fuzzy/sloppy" code into clean code.

It speeds up my build a ton. It's mobile optimizes so I can generate code and add to Replit mobile app while I'm bouncing our baby down in the Ergo.

Read 23 tweets
Free #AI "tip" for editorial teams & publishers (or other content-heavy businesses)

1. Create embeddings of ALL your content (every review, news, guide, video, podcast... for vector search). This can be done with @OpenAI but also with other models like @CohereAI or @huggingface
2. Train your own fine-tuned LLMs (again can be #GPT3 but can also be others like #BLOOM or Googles #FlanT5 or many others) for Q&A, Recommendations, Chat, and many more...
3. Connect your embeddings with your "own" LLMs and put a well-designed interface (text and voice) on your home pages and under every article or video you have.
Read 10 tweets

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