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“Do you think Ethereum is going to zero [0].”
a though question asked by “lazysays” that deserves a honest response
what’s your opinion!!
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DEX the Creator 🔺🎮
195.7K posts
DEX the Creator 🔺🎮
@DEX_ion
Quitted my 5figs job to create content• video~ai creator• ~brand manager~•clipper•~
ZachXBT HOUSE Katılım Şubat 2022
1.9K Takip Edilen3.5K Takipçiler
30,000 applications
68 accepted
wallchain hiring the avengers or what...
Wallchain Quacks@wallchain
Wallchain Select Update 🦆 The first 3 campaigns selection are complete. Here are some stats: - 68 creators approved out of 30,000 applications. That's an acceptance rate of ~0.2%. Harder than Harvard. Harder than Y Combinator. - Lowest approved payout: $12 for 4 posts (<10k follower account) - Highest approved payout: $1,500 for 4 posts (100k+ follower account) - Almost all approved creators kept the suggested rate and didn't change pricing. - 20% of approved creators hold at least one unlisted Quack Heads NFT More campaigns are coming. The next one is already 69% loaded.
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morning champions.
finally, the official World Cup tournament starts day,
I’ll be supporting Argentina all through.
so you know, all who supports Portugal 🇵🇹 are “GAY”.
Please avoid them by all cost!!
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this is not a financial advice
DYOR
🙂↔️
𝐗𝐚𝐧𝐢𝐚𝐧 ; (ᴘʀɪᴠacy arc)♟️,♟️@xanianthegreat
how to make your first $1k and turn it into $100k this world cup season 🧵 follow me 👇
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@xanianthegreat Will be here and if you did not teach me
I will track you ooooooooiii
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how to make your first $1k
and turn it into $100k this world cup season 🧵
follow me 👇
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@Akasheth_ I think this are basic simple knowledge that are supposed to be known as an engineer
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most developers know what RAG is
very few know there are multiple RAG architectures
choosing the wrong architecture can lead to poor retrieval, more hallucinations and a lot of unnecessary complexity.
Here are 4 RAG architectures every developer should know:
1. Standard RAG
retrieves relevant chunks from a vector database and sends them to the LLM.
when to use:
> FAQ bots
> Internal knowledge bases
> company documentation
> customer support
2. Agentic RAG
An AI agent decides what to retrieve, which tools to use and how to combine information before responding.
when to use:
> AI assistants
> research agents
> coding copilots
> multi-step workflows
3. Graph RAG
retrieves information from a knowledge graph, helping the LLM understand relationships between entities.
when to use:
> Enterprise knowledge systems
> Financial analysis
> Research platforms
> Relationship-heavy data
4. Hybrid RAG
combines multiple retrieval methods (vector search, graph search, web search) and merges the results.
when to use:
> enterprise AI applications
> complex search systems
> high-accuracy assistants
> large-scale production systems
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@Boy1Sniper I think I’m on a hate watch
I’ll e
Be know as pucasso
That’s my Mexico
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@Eric_of_web3 You did not miss out on a lot of thing aside wall chain
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It's a new day, guys
If you missed what I did yesterday, check out the quoted post.
I tried an editing style I've never done before, and I'd love for you to see it.
Today is going to be a long day, I'll be busy for almost 6 hours IRL, but I'll be back.
So stay tuned, I'm cooking up more solid videos and some mind-blowing ones too.
And don't forget to always put God first.
Enjoy your day, guys.
ERIC OF WEB 3@Eric_of_web3
As a video editor, I decided to try something new. First attempt, and I used it to spotlight creators. This video took me 4 hours to make, but I'm happy with how it turned out. Check it out 👇 Would appreciate your support on the post ❤️
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this is why i haven't been replying all day lol, x is kinda shítty today
mov@mov_crypt
ohayo senpai(s) ✿ world cup tournaments starts today, what country will you be supporting?
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