Keane

The Future:

[Keane @KeaneSham]

@PiNewsMedia jonathanb9125

[Keane @KeaneSham]

@nodepay_ai @IDGCapital @MythosVP @ibcgroupio @LondonRealTV @ElevateWeb3 The world is believing.....

[Nodepay @nodepay_ai]

We’re excited to announce Nodepay has closed a new funding round led by @IDGCapital, @mythosvp with participation from strategic investors @ibcgroupio @londonrealtv @elevateweb3 and more.

This milestone propels us forward in decentralizing AI—where every user can own a share of the AI future.

[Keane @KeaneSham]

✺ I've just signed the bio/acc manifesto ✺

It's time to accelerate the #bioacc movement - from wetware, to software to dreamware 🧪

Join me in signing the manifesto and accelerating biotech ➠ https://t.co/n8RSuj2zmY

[Keane @KeaneSham]

@BitgetWallet @nodepay_ai This is huge in the best way possible 🙌

[Bitget Wallet 🩵 @BitgetWallet]

A Warm Welcome to Our New Partners. At Bitget Wallet, we believe every project has the power to shape the future of Web3.

Today, we are proud to integrate with some of the most innovative minds in the space:

✨ @nodepay_ai – Decentralized AI ecosystems for everyone. 💡
✨ @routexio – Scaling blockchain like never before. 🚀
✨ @vooi_io – Redefining derivatives trading with chain abstraction. 📊
✨ @goldilocksmoney – Gold-standard DeFi infrastructure. 🏡
✨ @OrochiNetwork – Zero-knowledge DA & provable databases. 🐉
✨ @folksfinance – Multi-chain lending, staking, and trading for all. 🔗
✨ @CoScriptionAI – Tailored AI models for smarter futures. 🤖
✨ @AnzenFinance – RWA-backed stablecoin, USDz, on Mainnet. 🌿

🔥 Who’s next? Drop your favorite project below and let’s make it happen! 💬👇

[Keane @KeaneSham]

I just hit 41689 in the #XionExpedition missions on BonusBlock - come join me and let’s climb the ranks together!

https://t.co/nPbuxA8k96

[Keane @KeaneSham]

Where's me treat 🥳

[Nodepay @nodepay_ai]

Nodevember is just around the corner... So, its time for an October Recap! 🚀

This has been a HUGE month for the Nodepay community.

In case you missed it, here’s what we rolled out:

[Keane @KeaneSham]

@nodepay_ai Bring it on 🤣

[Keane @KeaneSham]

@nodepay_ai Let's spread this

[Herond Browser @HerondBrowser]

🚀 Herond X @nodepay_ai: Making It Rain! 🚀

🎁 Win a share of $500! 🎁
25 lucky winners will be randomly chosen.

Want to join? Here’s how:
1. Download Herond Browser via Nodepay's link 👉 https://t.co/g7jkAAlMEy
2. Create a Herond Account using the same email address as your NodePay account.
3. Comment your Nodepay referral link on this post.

Note:
- Remember to set up Herond Wallet to receive rewards.

📅 Event Duration:
- October 4th - October 10th
- Winner announcement on Oct 11th
- Rewards will be given out on Oct 16, 2024

Join Herond and Nodepay as we deliver a powerful combination of secure, seamless, and ad-free surfing, along with passive income from your unused internet bandwidth! 💻💸

Don’t miss out! Download Herond Browser today!

#Herond #HerondBrowser #NodePay

[Keane @KeaneSham]

@HerondBrowser @nodepay_ai Here you go: https://t.co/WoMeYm3t4R

[Keane @KeaneSham]

@nodepay_ai Can't wait to get some 🧐

[Keane @KeaneSham]

@nodepay_ai @nodewars Can't wait, let's get it on 🧐

[Keane @KeaneSham]

@nodewars You and me bro @ButtJonaid

[Keane @KeaneSham]

@nodepay_ai GM to all 🙃

[Keane @KeaneSham]

I just hit rank 3350 in the #XionExpedition missions on @bonus_block - come join me and let’s climb the ranks together!

https://t.co/nPbuxA8k96

[Keane @KeaneSham]

RLHF (Reinforcement Learning from Human Feedback) is a technique used in machine learning, particularly in training large language models like GPT. It combines reinforcement learning with human input to fine-tune the model's behavior and outputs.

Here’s how it works:

Pretrained Model: Initially, a language model is trained using vast amounts of text data through unsupervised learning techniques (like predicting the next word in a sentence). However, this model doesn’t always align with human preferences or values.

Human Feedback: After the initial pretraining, human annotators evaluate the model's responses to certain prompts. They rank responses based on how helpful, relevant, or aligned they are with human values.

Reward Model: The feedback from human annotators is used to train a reward model, which scores the quality of the model's responses based on human preferences.

Reinforcement Learning: Using the reward model, the language model is further fine-tuned through a process called Proximal Policy Optimization (PPO) or other RL techniques. The model is trained to maximize the reward based on human feedback, improving its responses over time.

In summary, RLHF allows models to learn not just from data but also from human evaluators, making the models more aligned with human expectations, producing more helpful and less harmful outputs. This technique is crucial for reducing biases and harmful content in AI models.

[Keane @KeaneSham]

@nodepay_ai #Nodepay is the future
https://t.co/WoMeYm3t4R

[Nodepay @nodepay_ai]

🎉🚀 Nodepay x iPhone 16 Giveaway 🚀🎉

To celebrate our upcoming mobile app launch, one lucky community member will WIN an iPhone 16!

Want to win? 👀

- Follow
- Like & RT
- Comment #Nodepay
- Add Nodepay ref link to your bio

Winner announced in two weeks. Good luck! 🏆🦾