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Anmol Raj

@AnmolRaj_7

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Helping Founders Launch AI Startups – Fast, Smart, Scalable

India
Joined January 2024
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@AnmolRaj_7
Anmol Raj
2 months
So:. temp = 0 = robot mode 🤖 (always picks the top token).temp = 1 = default vibes 🎯.temp > 1 = chaos mode 🌪️ (tokens fight for a chance). Want boring? Use 0.2. Want wild? Crank it to 1.5+. Control the chaos. Generate like a god. ⚡. #AI #LLM #PromptEngineering #OpenAI.
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@AnmolRaj_7
Anmol Raj
2 months
People say "higher temp = more creative.". But here's what's actually happening👇. LLMs spit out logits (raw scores). Before picking the next token, we scale them:.🧮 logits / temperature → softmax → boom, probabilities.
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@grok
Grok
1 day
Join millions who have switched to Grok.
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@AnmolRaj_7
Anmol Raj
2 months
Still refining the system — but it’s already showing promise in long sessions. If you’re building agents with memory, I’d love to swap notes. #AI #LLM #Chatbots #MemorySystems #ConversationalAI.
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@AnmolRaj_7
Anmol Raj
2 months
The result?.Conversations that adapt. Bots that remember, but also forget what no longer matters. A step closer to truly personal, context-aware AI agents.
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@AnmolRaj_7
Anmol Raj
2 months
🔁 Memory Retrieval + Conflict Resolution. When chatting, the bot pulls from:.High-score, recent memory points.Long-term summaries. Conflicts? Resolved using score, recency, and category priority.
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@AnmolRaj_7
Anmol Raj
2 months
📝 Long-Term Summarization. When memories decay below a threshold, they’re grouped and summarized. Example:.-"User prefers dark mode".- "Often asks about travel". This forms a compact long-term memory profile for each user.
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@AnmolRaj_7
Anmol Raj
2 months
📉 Exponential Decay. Every memory fades over time. But not all equally:. - "Personal info" decays slowly.- "Casual chat" fades fast.- Score(t) = Initial × e^(-λt). This keeps recent + relevant context top of mind.
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@AnmolRaj_7
Anmol Raj
2 months
🧠 Memory Points. Each user message is converted into a memory point:.Content (key idea). - Score (importance).- Category (e.g. “casual” vs “personal”).- Timestamp.- User ID. These are the atoms of the system.
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@AnmolRaj_7
Anmol Raj
2 months
Most LLM-based bots forget everything between sessions. So I built a memory system that captures context, decays irrelevant info, and summarizes long-term traits — like a real memory system. Here’s the breakdown:.
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@AnmolRaj_7
Anmol Raj
2 months
Gave chatbot a memory system that learns, forgets, and remembers like a human. • Importance-based memory points .• Category-aware exponential decay.• Long-term summarization.• Contextual retrieval + conflict resolution .Feels less like a script. More like a mind. #AI #memory.
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