Abhaykoul (VORTEX)

reacted to Parveshiiii's post with 👍 6 days ago

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2727

🧠 MathX-5M by XenArcAI — Scalable Math Reasoning for Smarter LLMs

Introducing MathX-5M, a high-quality, instruction-tuned dataset built to supercharge mathematical reasoning in large language models. With 5 million rigorously filtered examples, it spans everything from basic arithmetic to advanced calculus—curated from public sources and enhanced with synthetic data.

🔍 Key Highlights:
- Step-by-step reasoning with verified answers
- Covers algebra, geometry, calculus, logic, and more
- RL-validated correctness and multi-stage filtering
- Ideal for fine-tuning, benchmarking, and educational AI

📂 - XenArcAI/MathX-5M

1 reply

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reacted to merve's post with 🚀😎 9 days ago

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2978

visual reasoning is now in transformers 🔥
THUDM/GLM-4.1V-9B-Thinking is just released and merged into transformers, we gave it a vibe test run 🤠

it's very good, comes with 64k context length and MIT license 😍
it supports 4k image tokens and any aspect ratio as well!
Notebook: http://colab.research.google.com/drive/1atODIiV57hOZLv16Bjzwd6fwx0yoTorj?usp=sharing
Demo: THUDM/GLM-4.1V-9B-Thinking-Demo

reacted to their post with 👍 10 days ago

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2855

🎉 Dhanishtha 2.0 Preview is Now Open Source!

The world's first Intermediate Thinking Model is now available to everyone!

Dhanishtha 2.0 Preview brings revolutionary intermediate thinking capabilities to the open-source community. Unlike traditional reasoning models that think once, Dhanishtha can think, answer, rethink, answer again, and continue rethinking as needed using multiple blocks between responses.

🚀 Key Features
- Intermediate thinking: Think → Answer → Rethink → Answer → Rethink if needed...
- Token efficient: Uses up to 79% fewer tokens than DeepSeek R1 on similar queries
- Transparent thinking: See the model's reasoning process in real-time
- Open source: Freely available for research and development

HelpingAI/Dhanishtha-2.0-preview
https://helpingai.co/chat

1 reply

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reacted to their post with 🚀👀🔥 11 days ago

Post

2855

🎉 Dhanishtha 2.0 Preview is Now Open Source!

The world's first Intermediate Thinking Model is now available to everyone!

Dhanishtha 2.0 Preview brings revolutionary intermediate thinking capabilities to the open-source community. Unlike traditional reasoning models that think once, Dhanishtha can think, answer, rethink, answer again, and continue rethinking as needed using multiple blocks between responses.

🚀 Key Features
- Intermediate thinking: Think → Answer → Rethink → Answer → Rethink if needed...
- Token efficient: Uses up to 79% fewer tokens than DeepSeek R1 on similar queries
- Transparent thinking: See the model's reasoning process in real-time
- Open source: Freely available for research and development

HelpingAI/Dhanishtha-2.0-preview
https://helpingai.co/chat

1 reply

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posted an update 11 days ago

Post

2855

🎉 Dhanishtha 2.0 Preview is Now Open Source!

The world's first Intermediate Thinking Model is now available to everyone!

Dhanishtha 2.0 Preview brings revolutionary intermediate thinking capabilities to the open-source community. Unlike traditional reasoning models that think once, Dhanishtha can think, answer, rethink, answer again, and continue rethinking as needed using multiple blocks between responses.

🚀 Key Features
- Intermediate thinking: Think → Answer → Rethink → Answer → Rethink if needed...
- Token efficient: Uses up to 79% fewer tokens than DeepSeek R1 on similar queries
- Transparent thinking: See the model's reasoning process in real-time
- Open source: Freely available for research and development

HelpingAI/Dhanishtha-2.0-preview
https://helpingai.co/chat

1 reply

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reacted to sequelbox's post with 🚀 11 days ago

Post

1803

The full Celestia 3 science-reasoning dataset is here!

- 91k high-quality synthetic science prompts answered by DeepSeek-R1-0528
- subjects include physics, biology, chemistry, computer science, Earth science, astronomy, and information theory
- one of the reasoning datasets powering the upcoming Shining Valiant 3 :) coming soon!

GET IT NOW, FOR EVERYONE: sequelbox/Celestia3-DeepSeek-R1-0528
SUPPORT OUR RELEASES: sequelbox/SupportOpenSource

with love,
allegra

2 replies

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replied to their post 17 days ago

reacted to their post with 🔥👍 17 days ago

Post

4211

Introducing Dhanishtha 2.0: World's first Intermediate Thinking Model

Dhanishtha 2.0 is the world's first LLM designed to think between the responses. Unlike other Reasoning LLMs, which think just once.

Dhanishtha can think, rethink, self-evaluate, and refine in between responses using multiple <think> blocks.
This technique makes it Hinghlt Token efficient it Uses up to 79% fewer tokens than DeepSeek R1
---

You can try our model from: https://helpingai.co/chat
Also, we're gonna Open-Source Dhanistha on July 1st.

---
For Devs:
🔑 Get your API key at https://helpingai.co/dashboard

from HelpingAI import HAI  # pip install HelpingAI==1.1.1
from rich import print

hai = HAI(api_key="hl-***********************")

response = hai.chat.completions.create(
    model="Dhanishtha-2.0-preview",
    messages=[{"role": "user", "content": "What is the value of ∫0∞𝑥3/𝑥−1𝑑𝑥 ?"}],
    stream=True,
    hide_think=False # Hide or show models thinking
)

for chunk in response:
    print(chunk.choices[0].delta.content, end="", flush=True)

2 replies

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posted an update 17 days ago

Post

4211

Introducing Dhanishtha 2.0: World's first Intermediate Thinking Model

Dhanishtha 2.0 is the world's first LLM designed to think between the responses. Unlike other Reasoning LLMs, which think just once.

Dhanishtha can think, rethink, self-evaluate, and refine in between responses using multiple <think> blocks.
This technique makes it Hinghlt Token efficient it Uses up to 79% fewer tokens than DeepSeek R1
---

You can try our model from: https://helpingai.co/chat
Also, we're gonna Open-Source Dhanistha on July 1st.

---
For Devs:
🔑 Get your API key at https://helpingai.co/dashboard

from HelpingAI import HAI  # pip install HelpingAI==1.1.1
from rich import print

hai = HAI(api_key="hl-***********************")

response = hai.chat.completions.create(
    model="Dhanishtha-2.0-preview",
    messages=[{"role": "user", "content": "What is the value of ∫0∞𝑥3/𝑥−1𝑑𝑥 ?"}],
    stream=True,
    hide_think=False # Hide or show models thinking
)

for chunk in response:
    print(chunk.choices[0].delta.content, end="", flush=True)

2 replies

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reacted to fdaudens's post with 👀👀 3 months ago

Post

2564

"Am I going to be replaced by AI?" - Crucial question, but maybe we're asking the wrong one.

📈 There's a statistic from my reads this week that stays with me: Tomer Cohen, LinkedIn's CPO, shares to Jeremy Kahn that 70% of skills used in most jobs will change by 2030. Not jobs disappearing, but transforming. And he calls out bad leadership: "If in one year's time, you are disappointed that your workforce is not 'AI native,' it is your fault."

🔄 Apparently, the Great Recalibration has begun. We're now heading into an era where AI is fundamentally redefining the nature of work itself, by forcing a complete reassessment of human value in the workplace, according to a piece in Fast Company. But it might be driven more by "the need for humans to change the way they work" than AI.

⚡ The Washington Post draws a crucial parallel: We're facing an "AI shock" similar to manufacturing's "China shock" - but hitting knowledge workers. Especially entry-level, white-collar work could get automated. The key difference? "Winning the AI tech competition with other countries won't be enough. It's equally vital to win the battle to re-skill workers."

Digging into these big questions in this week’s AI in the News: https://fdaudens.substack.com/publish/posts/detail/160596301

Also, I'm curious: how are you keeping up with this pace of change? What strategies are working for you?

replied to their post 5 months ago

Hey ShawlynNailson,

Appreciate the update, but we’re not fully able to understand your phrasing. Could you clarify what you mean by "DCKNHET AI" and the brainwash model reference?

From what we gather, you’re talking about model stability and progress. If "body bias" is steady and moving to hi-def, that sounds like a good sign, but we’d love to know exactly what you’re referring to.

Also, if you’re testing something related to HelpingAI, let us know how it’s performing on your end! Always open to feedback.

Looking forward to your response. 🚀

reacted to their post with ❤️👍➕🚀 5 months ago

Post

4757

🔥 THE WAIT IS OVER... HAI-SER IS HERE! 🔥

Yo fam, this ain't just another AI drop— this is the FUTURE of emotional intelligence! 🚀

Introducing HAI-SER, powered by Structured Emotional Reasoning (SER), the next-level AI that doesn’t just understand your words—it feels you, analyzes your emotions, and helps you navigate life’s toughest moments. 💡

💥 What makes HAI-SER a game-changer?
🔹 Emotional Vibe Check – Gets the mood, energy, and what’s really going on 🎭
🔹 Mind-State Analysis – Breaks down your thoughts, beliefs, and patterns 🤯
🔹 Root Cause Deep-Dive – Unpacks the WHY behind your emotions 💡
🔹 Impact Check – Sees how it’s affecting your life and mental health 💔
🔹 Safety Check – Prioritizes your well-being and crisis management 🚨
🔹 Healing Game Plan – Custom strategies to help you bounce back 💪
🔹 Growth Potential – Turns struggles into opportunities for self-improvement 📈
🔹 How to Approach – Teaches you and others how to communicate and heal 🤝
🔹 Personalized Response – Not just generic advice—real talk, tailored to YOU 💯

No more robotic AI responses. No more surface-level advice. HAI-SER gets deep, analyzing emotions with precision and giving real, actionable support.

This ain’t just AI—this is your digital therapist, life coach, and hype squad all in one. Whether it’s mental health, career struggles, relationships, or personal growth, HAI-SER has your back.

🚀 The future of emotionally intelligent AI is HERE.
Are you ready? 🔥💯

HelpingAI/HAI-SER

5 replies

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