This project implements TnT-LLM, a framework designed for large-scale text mining using Large Language Models (LLMs). TnT-LLM automates two core tasks: label taxonomy generation and text classification, both of which traditionally require significant manual effort and domain expertise.
Transform your ideas with structured AI-powered brainstorming methods Built with Next.js, TypeScript, and OpenAI's GPT models
RAGLight is a lightweight and modular Python library for implementing Retrieval-Augmented Generation (RAG). It enhances the capabilities of Large Language Models (LLMs) by combining document retrieval with natural language inference.
Feed it CVE-2025-29824. Get back a markdown report that names the buggy function, shows the pre/post-patch decompiled C, walks the trigger flow, and attaches a confidence score and per-call cost trace.
Sample BPF offload apps.
The main features of netronome/bpf-samples are: Developer Toolkits.
Open-source alternatives to netronome/bpf-samples include: andrestorres123/delve — This project implements TnT-LLM, a framework designed for large-scale text mining using Large Language Models (LLMs).… azzedde/brainstormers — Transform your ideas with structured AI-powered brainstorming methods Built with Next.js, TypeScript, and OpenAI's GPT… bessouat40/raglight — RAGLight is a lightweight and modular Python library for implementing Retrieval-Augmented Generation (RAG). It… chopratejas/headroom — Headroom is an AI gateway proxy and token optimizer designed to reduce the cost and latency of large language model… cryxnet/deepmcpagent — The foundation layer for agentic intelligence. akamai/patchdiff-ai — Feed it CVE-2025-29824. Get back a markdown report that names the buggy function, shows the pre/post-patch decompiled…