Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
Cell type annotation for single-cell RNA-seq using multi-LLM consensus
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.
Qwen DianJin: LLMs for the Financial Industry by Alibaba CloudοΌιδΉηΉιοΌιΏιδΊιθ倧樑εοΌ
multilspy is a lsp client library in Python intended to be used to build applications around language servers.
A curated collection of papers and resources on On-Policy Distillation for Large Language Models.
A flexible, adaptive classification system for dynamic text classification
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
Universal LLM Gateway: One API, every LLM. OpenAI/Anthropic-compatible endpoints with multi-provider translation and intelligent load-balancing.
TLive-Omni: An Omni-Modal Understanding Model for E-Commerce Live Streaming
The companion AI agent that learns, adapts and gets the work done no matter the task
S-Space: Exploring Spatial Workspace in Multimodal Models
[NeurIPS 2026] State of Thought Enables Endogenous Reasoning
[COLMW'26 Spotlight] AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters
Open-source financial multimodal LLM for document understanding, chart/table reasoning, numerical reasoning, and financial analysis, with SFT, dual-branch RL, MOPD distillation, and public benchmark evaluation.
STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization
This repository provides a starter kit for sports intelligence built on NVIDIA AI stack: playbooks, training recipes, and inference for Multimodal Language Models.
PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers
Tools Are Not Islands: Set-Level Tool Retrieval for LLM Agents via Query-Conditioned Hyperedge Prediction
Open Sensor-Language-Action (SLA) Models
Operational tooling & discipline for multi-agent AI engineering fleets β mutation-proven guards, a Textual terminal monitor, generalized skills, and specs. Every check ships with proof it can fail.
Unified reproductions, benchmarking & evaluation for perception-aware RLVR and OPD in VLMs. 19 methods Β· 30+ benchmarks Β· Official code of CGPO (ACM MM 2026 Oral).
Myrtia β agent-native red teaming for LLMs and AI agents: a deliberating council of attacker models (propose, cross-critique, Borda vote, chairman synthesis), 13 attack strategies, live turn-by-turn UI and ASR analytics. Open-source, built on IBM ARES.
A curated paper list on On-Policy Distillation (OPD) & On-Policy Self-Distillation (OPSD) for LLMs β student rollouts + teacher feedback, covering white-box/black-box methods, OPD-RL hybrids, agentic & multimodal applications, and industrial multi-teacher recipes.
π‘ All-in-one AI framework for semantic search, LLM orchestration and language model workflows
This repository collects an extensive list of awesome papers about Story Generation / Storytelling, exclusively focusing on the era of Large Language Models (LLMs).
[Preprint 2026] StreamOPD: A Post-Training Recipe with Spatio-Temporal Cue Gating for Streaming Video Understanding