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# llm

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Introducing r/OpenAIML

Introducing r/OpenAIML

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3 min read
Using a local LLM AI agent to solve the N puzzle

Using a local LLM AI agent to solve the N puzzle

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2 min read
Should Education Be Free in the Age of AI?

Should Education Be Free in the Age of AI?

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3 min read
3DR-LLM: A Quantitative Methodology for the Holistic Evaluation of Large Language Models

3DR-LLM: A Quantitative Methodology for the Holistic Evaluation of Large Language Models

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19 min read
Sandboxing AI - Extending AI Responsibly

Sandboxing AI - Extending AI Responsibly

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10 min read
From Extraction to Assurance:Extraction Meets Evaluation

From Extraction to Assurance:Extraction Meets Evaluation

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3 min read
LLM Tools & MCP Are Not REST API

LLM Tools & MCP Are Not REST API

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3 min read
AiHint Standard - Cryptographic Trust Verification for AI Agents

AiHint Standard - Cryptographic Trust Verification for AI Agents

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4 min read
Experimenting with Gemini, MCP, Agentic AI and Android

Experimenting with Gemini, MCP, Agentic AI and Android

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5 min read
Understanding Why LLMs Respond the Way They Do with Reverse Mechanistic Localization

Understanding Why LLMs Respond the Way They Do with Reverse Mechanistic Localization

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3 min read
Revolutionizing Unstructured Data: Instill Core – Your All-in-One AI Solution

Revolutionizing Unstructured Data: Instill Core – Your All-in-One AI Solution

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3 min read
Demystifying Diffusion Models: Building DDPM from Scratch with PyTorch

Demystifying Diffusion Models: Building DDPM from Scratch with PyTorch

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5 min read
ChatGPT 5: The Complete Guide to OpenAI's Next-Gen AI

ChatGPT 5: The Complete Guide to OpenAI's Next-Gen AI

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6 min read
Unlock LLM Precision: Master Structured Output with Pydantic and Instructor

Unlock LLM Precision: Master Structured Output with Pydantic and Instructor

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6 min read
LLM Canvas: The Story Behind

LLM Canvas: The Story Behind

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5 min read
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