Llama is Meta’s open model family. GROUNDING tracks Llama releases, fine-tuning, inference, evaluation, and practical adoption signals for AI builders.
Recent Updates
- 2026-06-05: LoRi: Low-Rank Distillation for Implicit Reasoning (cs.CL updates on arXiv.org) · arxiv.org — arXiv Qwen
- 2026-06-05: Prompt Injection Vulnerabilities in Customer Support Agents (LLM под капотом) · bitgn.com — Agents LLM Evals Context Engineering Meta Instagram
- 2026-06-07: The Magic of Nonsense: How Spurious Prompts Improve LLM Performance (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · habr.com — LLM Evals OpenAI Meta Alibaba Mikhail Salnikov Qwen3.5-27B Qwen3.5-0.8B
- 2026-06-08: A Four-Condition Diagnostic Protocol for Evidence Utilization in Long-Context and Retrieval-Augmented Language Models (cs.CL updates on arXiv.org) · arxiv.org — RAG Evaluation LLM Evals Qwen Gemma Mistral
- 2026-06-09: ScaleSweep: Accurate NVFP4 Post-Training Quantization of LLMs via Block Scale Initialization (cs.LG updates on arXiv.org) · arxiv.org — Open Source LLMs Qwen
- 2026-06-09: TrustMargin: Arbitration Between Parametric Memory and Retrieved Evidence (cs.CL updates on arXiv.org) · arxiv.org — RAG
FAQ
What is LLaMA?
Llama is Meta’s open model family. GROUNDING tracks Llama releases, fine-tuning, inference, evaluation, and practical adoption signals for AI builders.
What does this page track?
Dated radar mentions, source links, related concepts, and builder-relevant context for LLaMA, collected automatically by GROUNDING.
When was LLaMA last mentioned?
LLaMA was most recently mentioned in a radar update dated 2026-06-09.