ziyanwould

AI Free Journey is dedicated to building the most open and accessible AI platform, allowing you to easily experience the limitless charm of AI!

[IVAN | IA @ivnways]

Es una pena que el 80% de la gente solo use ChatGPT.

Cuando pueden acceder a ChatGPT, DeepSeek-R1, Claude, Gemini, Midjourney, Flux, Perplexity y Luma en un solo lugar.

Aquí te enseño cómo:

[λux @novasarc01]

Mixture of Experts (MoE) is a powerful approach in deep learning that allows models to scale efficiently by leveraging sparse activation. Instead of activating all parameters for every input, MoE selects a subset of experts using a router, leading to better computational efficiency and improved generalisation. MoE has been widely adopted in large-scale models like Switch Transformer, DeepSeek and GShard.

🔹 What Are Experts?

Experts in MoE are independent feedforward neural networks (MLPs or other architectures) that specialize in different types of data. Instead of using a monolithic model for all inputs, MoE dynamically selects the most relevant experts per token, allowing specialization and better parameter efficiency.

Many people often misunderstand experts as specialists in specific domains like biology or chemistry. However, in this context, experts specialize in different aspects of sentence structure and syntax, such as complex words, punctuation, visual descriptions, verbs, etc.

🔹 Routing Mechanism

A key component of MoE is the router, which determines which experts handle a given input. The router is typically a learned function, often implemented as a small neural network or a simple linear transformation followed by a softmax. The routing process involves:

1.Computing Expert Scores: Each input is assigned a probability distribution over experts using a router network.

2.Top-k Selection: Instead of using all experts, MoE selects the top-k highest scoring experts for each token.

3.Dispatching & Processing: The selected experts process the token, and the final output is a weighted sum of expert outputs.

🔹 Load Balancing in MoE

One of the biggest challenges in MoE is load balancing—ensuring that all experts receive a roughly equal number of tokens. Without proper balancing, some experts might be overloaded while others remain underutilized, leading to inefficient computation and degraded performance.

To address this, various auxiliary loss functions are used:

•Auxiliary Load Balancing Loss: Encourages uniform token distribution across experts by penalizing imbalanced routing decisions.

•Router Z-Loss: Helps stabilize router learning by preventing overconfidence in expert selection.

•Importance Factor: Measures how frequently each expert is selected and is used to guide training to balance utilization.

🔹 Shared Experts in DeepSeek-MoE

DeepSeek-MoE introduces an interesting variation where experts are shared across multiple layers, rather than each layer having its own separate set of experts. This reduces parameter redundancy and improves efficiency while maintaining MoE’s benefits.

[GiantLeap @GiantLeap]

In the future all of our space based vehicles will be constructed in space

[Tencent Hy @TencentHunyuan]

🚀 Introducing Hunyuan-TurboS – the first ultra-large Hybrid-Transformer-Mamba MoE model!
Traditional pure Transformer models struggle with long-text training and inference due to O(N²) complexity and KV-Cache issues. Hunyuan-TurboS combines:
✅ Mamba's efficient long-sequence processing
✅ Transformer's strong contextual understanding
🔥 Results:
- Outperforms GPT-4o-0806, DeepSeek-V3, and open-source models on Math, Reasoning, and Alignment
- Competitive on Knowledge, including MMLU-Pro
1/7 lower inference cost than our previous Turbo model
📌 Post-Training Enhancements:
- Slow-thinking integration improves math, coding, and reasoning
- Refined instruction tuning boosts alignment and agent execution
- English training optimization for better general performance
🎯 Upgraded Reward System:
- Rule-based scoring & consistency verification
- Code sandbox feedback for higher STEM accuracy
- Generative-based reward improve QA and creativity, reducing reward hacking
The future of AI is here! 🚀

[Leonard Rodman @RodmanAi]

LEAKED: Secret DeepSeek prompts that literally turn your laptop into an ATM.

Most people are missing out on the GOLDRUSH by not knowing how to use it.

So I built DeepSeek Mastery: 500+ prompts, 9 Masterclasses, including a complete step-by-step guide for beginners.

FREE for 24 hrs then deleted!

Simply, 1. RT 2. Like 3. Reply "DS" and Follow me and I'll send you a DM.

[ziyanwould @AIForAI_EN]

Burning！360 million！
Burning！360 million！
https://t.co/RQHPUg5eQv

[ziyanwould @AIForAI_EN]

We have completed the burning of 300 million $BURN tokens. The circulating supply has reached 600 million tokens, and the burning will continue. 🔥
https://t.co/bBN314TuBO

[ziyanwould @AIForAI_EN]

Burning！330 million！
https://t.co/7UHb4Ai6Dn

[ziyanwould @AIForAI_EN]

A total of 270 million $BURN tokens have been burned. Keep it going!
https://t.co/B3zB5lnWE7

[ziyanwould @AIForAI_EN]

A total of 240 million $BURN tokens have been burned.
https://t.co/zpueqrEVN1

[ziyanwould @AIForAI_EN]

Burned 210 million $BURN tokens，come on！

https://t.co/cOd0BexSBu

[ziyanwould @AIForAI_EN]

After two hours of the experiment, we have already burned 180 million $BURN tokens. The experiment continues. JUST DO IT!
https://t.co/7uZ81AF474

[ziyanwould @AIForAI_EN]

Let the Little Universe burn!
https://t.co/RLfnDLrqYL

[ziyanwould @AIForAI_EN]

The first burn of 30 million $BURN tokens has been completed. The burning experiment continues. Let's keep it going!
https://t.co/Y9Y8AbhUrO

[ziyanwould @AIForAI_EN]

A total of 120 million $BURN tokens have been burned. Keep it going!
https://t.co/vkOM8z7JAv

[Michael Szach @michxlai]

Microsoft launched free courses on AI.

No payment needed.

Here are 10 courses you don't want to miss in 2025:

[sporsho @sporsho_AI]

Canva is a money making machine. People are making $319 per day with it.

Usually, I'd charge $95 for this guide, but today I'm giving it away for free.

Like and comment "Canva" and I’ll send you my in-depth guide for FREE.

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