Techyon

I Built a Neural Network Inference Engine From Scratch in C++ (No PyTorch, No ONNX, Just AVX2)

Implementing a Custom Neural Network Inference Engine in C++ via AVX2 A technical deep dive into the creation of a lightweight, framework-less inference engine designed to eliminate the overhead of massive runtimes like …

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Local LLM Long-Context problems

Addressing Long-Context Constraints in Local LLM Deployments via RIS-Kernel A potential breakthrough in local Large Language Model (LLM) deployment suggests that "RIS-Kernel" may provide a viable workaround for the persi…

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I used Claude Code to get a second opinion on my MRI

The author utilized Claude Code and the Opus model to obtain a second opinion on their MRI results. The process involved leveraging the AI's analytical capabilities to interpret medical imaging data. Read original

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Knowledge Distillation of Black-Box Large Language Models (2024)

Knowledge Distillation of Black-Box Large Language Models (2024) This 2024 study investigates knowledge distillation techniques for extracting capabilities from black‑box large language models (LLMs), addressing challeng…

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NPC Engine Using Local Models

Developing a Game-Agnostic NPC Engine Powered by Local LLMs A new technical implementation demonstrates the viability of a game-agnostic NPC backend utilizing a pipeline of local models for Speech-to-Text (STT), Large La…

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GLM 5.2 beats Claude in our benchmarks

GLM 5.2 Outperforms Claude in Specialized Cybersecurity Benchmarks New evaluation data suggests that GLM 5.2 has surpassed Claude in specific cybersecurity-focused benchmarks, indicating a significant shift in the perfor…

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GBC: Gradient-Based Connections for Optimizing Multi-Agent Systems

GBC: Gradient-Based Connections for Optimizing Multi-Agent Systems Researchers propose Gradient-Based Connections (GBC), a novel framework designed to enhance the coordination and performance of LLM-based Multi-Agent Sys…

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SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation

SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation SimFoundry introduces a modular framework for automated zero-shot real-to-sim scene construction, enabling the creation of high-fideli…

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Qwen-Image-2.0-RL Technical Report

Qwen-Image-2.0-RL introduces a post-training pipeline utilizing reinforcement learning from human feedback (RLHF) and on-policy distillation (OPD) to enhance the Qwen-Image-2.0 diffusion model. The framework employs task…

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Thinking While Speaking: Inference-Time Knowledge Transfer for Responsive and Intelligent Conversational Voice Agents

Voice agents face a fundamental tension: the reasoning, retrieval, and tool use that make foundation models capable are iterative and slow, while conversational interaction demands responses on a mill

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Qwythos-9B v3 released! We have noticed some issues in agentic harnesses due to issues with preserved and adaptive thinking in the chat template. Its a night and day difference, please redownload the GGUF / Safetensor.

Qwythos-9B v3 Released: Optimizing Chat Templates for Agentic Reasoning EmperoAI has released version 3 of Qwythos-9B, specifically addressing critical failures in agentic harnesses by refining preserved and adaptive thi…

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Qwen3.5-9B on RTX 5060 8GB VRAM: The llama.cpp settings + quants that finally made reliable local agents work

After spending the last couple of weeks testing different Qwen3.5-9B GGUF variants on my RTX 5060 8GB setup, I finally landed on a configuration that gives me usable speed and reliable agent behavi

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