💬 LLMs - fischerj

🤖AI Code

github.com··DEV

The Order Matters: Sequential Fine-Tuning of LLaMA for Coherent Automated Essay Scoring

🔤Language Models Academic

arxiv.org·

I built an open-source persistent memory layer for AI coding agents

🐍Python Code

github.com··r/GithubCopilot

shoo99/paper-rag: A private, fully-local RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.

🧩Embeddings Code

github.com··DEV

Impacts of Histories and Models on LLM Grading: A Study in Advanced Software Engineering Courses

📊Modeling Academic

arxiv.org·

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?

📊Modeling Academic

arxiv.org·

zhongkaifu/TensorSharp: A C# inference engine for running large language models (LLMs) locally using GGUF model files. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/Linux with full GPU capability

📊Modeling Code

github.com··Hacker News

Evaluating Hallucinations in Domain-Adapted Large Language Models

🔤Language Models Academic

arxiv.org·

zaydmulani09/mnemo: Local-first AI memory layer for any LLM. Persistent knowledge graph, entity extraction, semantic retrieval. Works with Ollama, OpenAI, Anthropic, or any OpenAI-compatible backend.

🗃️SQL Code

github.com··Hacker News

TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication

🔤Language Models Academic

arxiv.org·

Add Codex multi-agent migration coverage (#90317) · openclaw/openclaw@cfd5f1a

🤖AI Code

github.com·

When LLMs Invent Rust Crates: An Empirical Study of Hallucination Patterns and Mitigation

📊Modeling Academic

arxiv.org·

Distilling Safe LLM Systems via Soft Prompts for On Device Settings

🔤Language Models Academic

arxiv.org·

ulyssestenn/omt: Ollama Model Test - Figure out the best model for the task

🐍Python Code

github.com··Hacker News

TLRD: Teaching LLMs to Reason over Tabular Data with Tri-Level Rationale Distillation

🔤Language Models Academic

arxiv.org·

feat(parallel): add free Parallel Search MCP as the zero-config defau… · openclaw/openclaw@983b65b

🐍Python Code

github.com·

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models

🔤Language Models Academic

arxiv.org·

umair-tareen/philosopher-council: An eleven-philosopher LLM council - ask it questions or point it at AI-research trends. Claude-powered deliberation through the four classical branches of philosophy. Methodology, not metaphysics.

🔤Language Models Code

github.com··r/SideProject

Alignment Defends LLMs from Property Inference Attacks

Using Probabilistic Programs to Train Inductive Reasoning in Large Language Models

SLUUG Talk: Demystifying Large Language Models on Linux

The Order Matters: Sequential Fine-Tuning of LLaMA for Coherent Automated Essay Scoring

I built an open-source persistent memory layer for AI coding agents

shoo99/paper-rag: A private, fully-local RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.

Impacts of Histories and Models on LLM Grading: A Study in Advanced Software Engineering Courses

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?

Evaluating Hallucinations in Domain-Adapted Large Language Models

zaydmulani09/mnemo: Local-first AI memory layer for any LLM. Persistent knowledge graph, entity extraction, semantic retrieval. Works with Ollama, OpenAI, Anthropic, or any OpenAI-compatible backend.

TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication

Add Codex multi-agent migration coverage (#90317) · openclaw/openclaw@cfd5f1a

When LLMs Invent Rust Crates: An Empirical Study of Hallucination Patterns and Mitigation

Distilling Safe LLM Systems via Soft Prompts for On Device Settings

ulyssestenn/omt: Ollama Model Test - Figure out the best model for the task

TLRD: Teaching LLMs to Reason over Tabular Data with Tri-Level Rationale Distillation

feat(parallel): add free Parallel Search MCP as the zero-config defau… · openclaw/openclaw@983b65b

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models

umair-tareen/philosopher-council: An eleven-philosopher LLM council - ask it questions or point it at AI-research trends. Claude-powered deliberation through the four classical branches of philosophy. Methodology, not metaphysics.