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Abhaykoul's
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5 days ago
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🔥 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
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
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13 days ago
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I've managed a #1 score of 41.22% average for 14B parameter models on the Open LLM Leaderboard. As of this writing, sometimesanotion/Lamarck-14B-v0.7 is #8 for all models up to 70B parameters.
It took a custom toolchain around Arcee AI's mergekit to manage the complex merges, gradients, and LoRAs required to make this happen. I really like seeing features of many quality finetunes in one solid generalist model.
It took a custom toolchain around Arcee AI's mergekit to manage the complex merges, gradients, and LoRAs required to make this happen. I really like seeing features of many quality finetunes in one solid generalist model.
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15 days ago
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16 days ago
Post
2025
Exciting breakthrough in large-scale recommendation systems! ByteDance researchers have developed a novel real-time indexing method called "Streaming Vector Quantization" (Streaming VQ) that revolutionizes how recommendations work at scale.
>> Key Innovations
Real-time Indexing: Unlike traditional methods that require periodic reconstruction of indexes, Streaming VQ attaches items to clusters in real time, enabling immediate capture of emerging trends and user interests.
Superior Balance: The system achieves remarkable index balancing through innovative techniques like merge-sort modification and popularity-aware cluster assignment, ensuring all clusters participate effectively in recommendations.
Implementation Efficiency: Built on VQ-VAE architecture, Streaming VQ features a lightweight and clear framework that makes it highly implementation-friendly for large-scale deployments.
>> Technical Deep Dive
The system operates in two key stages:
- An indexing step using a two-tower architecture for real-time item-cluster assignment
- A ranking step that employs sophisticated attention mechanisms and deep neural networks for precise recommendations.
>> Real-world Impact
Already deployed in Douyin and Douyin Lite, replacing all major retrievers and delivering significant user engagement improvements. The system handles a billion-scale corpus while maintaining exceptional performance and computational efficiency.
This represents a significant leap forward in recommendation system architecture, especially for platforms dealing with dynamic, rapidly-evolving content. The ByteDance team's work demonstrates how rethinking fundamental indexing approaches can lead to substantial real-world improvements.
>> Key Innovations
Real-time Indexing: Unlike traditional methods that require periodic reconstruction of indexes, Streaming VQ attaches items to clusters in real time, enabling immediate capture of emerging trends and user interests.
Superior Balance: The system achieves remarkable index balancing through innovative techniques like merge-sort modification and popularity-aware cluster assignment, ensuring all clusters participate effectively in recommendations.
Implementation Efficiency: Built on VQ-VAE architecture, Streaming VQ features a lightweight and clear framework that makes it highly implementation-friendly for large-scale deployments.
>> Technical Deep Dive
The system operates in two key stages:
- An indexing step using a two-tower architecture for real-time item-cluster assignment
- A ranking step that employs sophisticated attention mechanisms and deep neural networks for precise recommendations.
>> Real-world Impact
Already deployed in Douyin and Douyin Lite, replacing all major retrievers and delivering significant user engagement improvements. The system handles a billion-scale corpus while maintaining exceptional performance and computational efficiency.
This represents a significant leap forward in recommendation system architecture, especially for platforms dealing with dynamic, rapidly-evolving content. The ByteDance team's work demonstrates how rethinking fundamental indexing approaches can lead to substantial real-world improvements.
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