Knowledge Tree
LLaMA
Also known as: Llama 4, Llama-2, LLaMA 2, LLaMA-2, Llama 3, Llama-3.1, Llama 2, LLama2, LAMA, LLaMA-3, LLaMA2
Facts (55)
Sources
Weekly Innovations and Future Trends in Open Source dev.to May 19, 2025 6 facts
claimRecent open source software updates include Meta's Llama 4, Linux Kernel 6.10, Apache Airflow 3.0, TensorFlow 3.5, and Kubernetes 1.32.
referenceKey resources for tracking open source innovations include Meta’s Llama 4 release, the Linux Kernel Mailing List, the Apache Airflow Blog, the TensorFlow website, and Kubernetes.io.
referenceLlama 4 is an artificial intelligence project featuring enhanced multilingual reasoning for NLP applications.
claimMeta AI's Llama 4 features advanced natural language processing capabilities optimized for diverse applications, including enhanced reasoning and multilingual support.
claimThe open-source nature of Meta AI's Llama 4 allows developers to fine-tune the model for specific applications such as chatbots and translation services.
claimMajor open source projects including Meta’s Llama 4, Linux Kernel 6.10, Apache Airflow 3.0, TensorFlow 3.5, and Kubernetes 1.32 introduced new features ranging from quantum computing modules to enhanced multi-cloud support.
A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Nov 4, 2024 6 facts
measurementSmall Language Models (LMs) are defined as models with one billion or fewer parameters, with LLaMA-1 serving as an example.
claimMeta has developed the RoBERTa, OPT, and LLaMA language models.
claimLAMA (LAnguage Model Analysis) is a benchmark for evaluating the factual knowledge contained in pre-trained language models by testing their ability to recall factual information without additional context.
claimOpenAI’s GPT series, Google’s BERT, T5, PaLM, and Gemini, and Meta’s RoBERTa, OPT, and LLaMA are recognized as state-of-the-art LLMs.
claimLanguage models are classified by availability into private models, such as GPT-4, and public models, such as LLAMA.
claimMeta's LLaMA model focuses on providing reliable, scalable, and efficient language models.
Medical Hallucination in Foundation Models and Their ... medrxiv.org Mar 3, 2025 5 facts
claimFine-tuned LLaMA family models demonstrate capability in medical question-answering and cross-language adaptability.
referenceAlphaCare-13B is an Alpaca-style Llama-based model further fine-tuned on a medical question-answering dataset to improve clinical reasoning and dialogue capabilities.
claimPretrained Large Language Models such as GPT-3, GPT-4, PaLM, LLaMA, and BERT have demonstrated advancements due to the extensive datasets used in their training.
referencePMC-LLaMA is a medical-purpose LLM fine-tuned from LLaMA on PubMed Central, a free archive of biomedical and life sciences literature, to enhance performance in medical question answering and knowledge retrieval.
measurementThe most commonly mentioned AI/LLM tools by survey respondents were ChatGPT (30 mentions), followed by Claude (20), Google Bard/Gemini (16), Llama (15), Perplexity (9), Alphafold (2), and Scite and Consensus (1).
Grounding LLM Reasoning with Knowledge Graphs - arXiv arxiv.org Dec 4, 2025 3 facts
referenceThe source text provides a comparative performance analysis of various reasoning methods—including Baselines, Text-RAG, Graph-RAG, Graph CoT, Graph ToT, and Graph Explore—applied to Llama 3.1 models (8B, 70B, and 405B variants) across domains including Healthcare, Goodreads, Biology, Chemistry, Materials Science, Medicine, and Physics.
claimThe authors of 'Grounding LLM Reasoning with Knowledge Graphs' used Llama 3.1 (Instruct) models in 8B, 70B, and 405B versions as the backend for their experiments, with the 405B model utilizing the FP8 variant.
referenceThe experimental results in 'Grounding LLM Reasoning with Knowledge Graphs' compare the performance of various methods—including Baselines, Text-RAG, Graph-RAG, Graph CoT, Graph Explore, and Graph ToT—across multiple domains including Healthcare, Goodreads, Biology, Chemistry, Materials Science, Medicine, and Physics using Llama 3.1 models.
The Hallucinations Leaderboard, an Open Effort to Measure ... huggingface.co Jan 29, 2024 3 facts
claimFor HaluEval QA, Dialog, and Summarisation tasks, Mistral and LLaMA2-based models produce the best results.
claimThe Hallucinations Leaderboard team uses hierarchical clustering on datasets, metrics, and models to identify performance clusters, specifically grouping models into Mistral 7B-based models, LLaMA 2-based models, and smaller models such as BLOOM 560M and GPT-Neo.
claimFor the RACE reading comprehension dataset, models based on Mistral 7B and LLaMA2 produce the most accurate results.
Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org 2 facts
referenceRetrieval-Augmented Generation (RAG) Language Models, including REALM (Guu et al. 2020), LAMA (Petroni et al. 2019), ISEEQ (Gaur et al. 2022), and RAG (Lewis et al. 2020), integrate a generator with a dense passage retriever and access to indexed data sources to add a layer of supervision to model outputs.
claimGPT-3.5, Claude, and GPT-4.0 adhere more closely to instructions than LLama2 (Touvron et al. 2023), Vicuna (Chiang et al. 2023), and Falcon (Penedo et al. 2023).
Survey and analysis of hallucinations in large language models frontiersin.org Sep 29, 2025 2 facts
A Survey on the Theory and Mechanism of Large Language Models arxiv.org Mar 12, 2026 2 facts
claimLarge Language Models such as ChatGPT (OpenAI, 2022), DeepSeek (Guo et al., 2025), Qwen (Bai et al., 2023a), Llama (Touvron et al., 2023), Gemini (Team et al., 2023), and Claude (Caruccio et al., 2024) have transcended the boundaries of traditional Natural Language Processing as established by Vaswani et al. (2017a).
referenceThe paper 'Llama 2: open foundation and fine-tuned chat models' is an arXiv preprint, arXiv:2307.09288.
What is Open Source Software? - HotWax Systems hotwaxsystems.com Aug 11, 2025 2 facts
referenceOllama is a streamlined interface designed to run Large Language Models (LLMs) such as LLaMA, Gemma, or Mistral on personal machines.
claimMeta's LLaMA (v2 and v3) models are classified as source-available rather than fully open source because they are released under a restrictive license that limits commercial use.
EdinburghNLP/awesome-hallucination-detection - GitHub github.com 2 facts
procedureThe BAFH framework is a lightweight method that trains a feedforward classifier on hidden states of Large Language Models to determine belief states and classify hallucination types, as evaluated against MIND and SAR baselines using Gemma-2, Llama-3.1, and Mistral models.
measurementAccording to AnyScale, Llama 2 is approximately as factually accurate as GPT-4 for summaries and is 30 times cheaper to operate.
The construction and refined extraction techniques of knowledge ... nature.com Feb 10, 2026 2 facts
claimLarge-scale language models such as GPT-4, LLaMA, and PaLM are key enablers of automated knowledge graph construction due to their strong semantic understanding and reasoning capabilities.
claimLarge-scale pre-trained Large Language Models (LLMs) such as GPT-4 and LLaMA-3 utilize large-scale pretraining and task-specific fine-tuning to achieve cross-task generalization.
Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 2 facts
referenceLAMA (Petroni et al., 2019) converts knowledge into cloze-style questions to evaluate the relational knowledge and recall ability of pre-trained models.
referenceDecoder-only models, such as GPT, OPT, and LLaMA, utilize unidirectional attention and auto-regressive token prediction to excel in text generation tasks like chatbots, text summarization, and code generation.
The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org Jul 11, 2024 1 fact
claimLarge Language Models (LLMs) are transformer-based language models, including OpenAI’s GPT-4, Google’s Gemini and PaLM, Microsoft’s Phi-3, and Meta’s LLaMA.
MedHallu - GitHub github.com 1 fact
measurementState-of-the-art Large Language Models, including GPT-4o, Llama-3.1, and UltraMedical, struggle with hard hallucination categories in the MedHallu benchmark, achieving a best F1 score of 0.625.
Phare LLM Benchmark: an analysis of hallucination in ... giskard.ai Apr 30, 2025 1 fact
claimAnthropic models and the largest versions of Meta’s Llama models show resistance to sycophancy, suggesting that the issue can be addressed at the model training level.
The Impact of Open Source on Digital Innovation linkedin.com 1 fact
accountTechChange attempted to self-host the LLaMA open source model but eventually pivoted back to proprietary tools like GPT and Claude due to requirements for speed, support, and access to a more robust ecosystem.
Re-evaluating Hallucination Detection in LLMs - arXiv arxiv.org Aug 13, 2025 1 fact
referenceThe paper 'The Llama 3 Herd of Models' by Grattafiori et al. (2024) details the development and architecture of the Llama 3 model family, published as an arXiv preprint.
Knowledge Graphs Enhance LLMs for Contextual Intelligence linkedin.com Mar 10, 2026 1 fact
procedureThe author's 'SKILL.md' file contains hard-coded logic that forces AI models, including Claude, GPT-4o, and local Llama 3 instances, to follow a deterministic path for entity extraction.
What Is Open Source Software? - IBM ibm.com 1 fact
claimMajor organizations including IBM (Granite), Meta (Llama), and Mistral AI are developing open source AI tools for developers and researchers.
Enterprise AI Requires the Fusion of LLM and Knowledge Graph stardog.com Dec 4, 2024 1 fact
accountSchellaert's team analyzed three major families of modern LLMs: OpenAI's ChatGPT, the LLaMA series developed by Meta, and the BLOOM suite made by BigScience.
Awesome-Hallucination-Detection-and-Mitigation - GitHub github.com 1 fact
referenceThe paper 'Localizing Lying in Llama: Understanding Instructed Dishonesty on True-False Questions Through Prompting, Probing, and Patching' by Campbell et al. (2023) investigates instructed dishonesty in Llama models.
Pascale Fung's Post - LLM Hallucination Benchmark linkedin.com 11 months ago 1 fact
perspectiveUsing LLaMA-3.1-70B as the sole evaluation model in the HalluLens benchmark raises concerns about bias, particularly when the benchmark is used to judge other LLaMA variants.
KG-IRAG: A Knowledge Graph-Based Iterative Retrieval-Augmented ... arxiv.org Mar 18, 2025 1 fact
referenceHugo Touvron et al. authored the paper 'Llama: Open and efficient foundation language models', published as arXiv preprint arXiv:2302.13971 in 2023.
Construction of intelligent decision support systems through ... - Nature nature.com Oct 10, 2025 1 fact
claimLarge language models such as Mistral 7B and LLaMA-2 often struggle with contextual understanding, transparency, and multi-step reasoning across multiple domains.
A framework to assess clinical safety and hallucination rates of LLMs ... nature.com May 13, 2025 1 fact
referenceZhang et al. reviewed how fine-tuning open-source large language models such as PRIMERA, LongT5, and Llama-2 can enhance their ability to summarize medical evidence effectively.
Track: Poster Session 3 - aistats 2026 virtual.aistats.org 1 fact
claimAdversarial attacks on Large Language Models (LLMs) for time series forecasting lead to more severe performance degradation than random noise across models including LLMTime with GPT-3.5, GPT-4, LLaMa, Mistral, TimeGPT, and TimeLLM.
A Knowledge Graph-Based Hallucination Benchmark for Evaluating ... arxiv.org Feb 23, 2026 1 fact
referenceThe paper 'The llama 3 herd of models' documents the Llama 3 family of large language models.
A Comprehensive Benchmark for Detecting Medical Hallucinations ... aclanthology.org 1 fact
measurementState-of-the-art large language models, including GPT-4o, Llama-3.1, and the medically fine-tuned UltraMedical, struggle with the binary hallucination detection task in MedHallu, with the best model achieving an F1 score as low as 0.625 for detecting 'hard' category hallucinations.
Empowering GraphRAG with Knowledge Filtering and Integration arxiv.org Mar 18, 2025 1 fact
referenceTaori et al. (2023) authored 'Stanford alpaca: An instruction-following llama model'.
The Synergy of Symbolic and Connectionist AI in LLM ... arxiv.org 1 fact
referenceThe Llama foundation language models were introduced by Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. in the 2023 arXiv preprint 'Llama: Open and efficient foundation language models'.