llm4aamas: Add ollama

README.md

@@ -78,8 +78,9 @@ to generative AAMAS. This list is a work in progress and will be regularly updat
 
 ## Existing LLMs
 
-Many models are available at the following URLs:  
-[https://www.nomic.ai/gpt4all](https://www.nomic.ai/gpt4all) and  
+Many models are available at the following URLs:
+[https://ollama.com](https://ollama.com),
+[https://www.nomic.ai/gpt4all](https://www.nomic.ai/gpt4all) and
 [https://huggingface.co/models](https://huggingface.co/models).
 
 - **[GPT-4 Technical Report](https://arxiv.org/abs/2303.08774)**
@@ -94,20 +95,20 @@ Many models are available at the following URLs:
     *Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, et al. (2023)*
     Published on *GitHub*
 
-- **[Gemma 2: Improving Open Language Models at a Practical Size](https://arxiv.org/abs/2408.00118)**  
-  *Google AI Team (2024)*  
+- **[Gemma 2: Improving Open Language Models at a Practical Size](https://arxiv.org/abs/2408.00118)**
+  *Google AI Team (2024)*
   Published on *arXiv*
 
-- **[DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://arxiv.org/abs/2501.12948)**  
-  *DeepSeek-AI (2025)*  
+- **[DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://arxiv.org/abs/2501.12948)**
+  *DeepSeek-AI (2025)*
   Published on *arXiv*
 
-- **[Mixtral of Experts](https://arxiv.org/abs/2401.04088)**  
-    *Mistral AI team (2024)*  
+- **[Mixtral of Experts](https://arxiv.org/abs/2401.04088)**
+    *Mistral AI team (2024)*
     Published on *arXiv*
 
-- **[Mistral 7B](https://arxiv.org/abs/2310.06825)**  
-    *Mistral AI team (2023)*  
+- **[Mistral 7B](https://arxiv.org/abs/2310.06825)**
+    *Mistral AI team (2023)*
     Published on *arXiv*
 
 - **[The Lucie-7B LLM and the Lucie Training Dataset: Open Resources for
@@ -161,8 +162,8 @@ Many models are available at the following URLs:
    *Timo Schick, Jane Dwivedi-Yu, Roberto Dessi, Roberta Raileanu, et al. (2023)*
    Presented at *NeurIPS*
 
-- **[Cognitive Architectures for Language Agents](https://arxiv.org/abs/2309.02427)**  
-    *Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths (2024)*  
+- **[Cognitive Architectures for Language Agents](https://arxiv.org/abs/2309.02427)**
+    *Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths (2024)*
     Published on *arXiv*
 
 
@@ -234,7 +235,7 @@ Many models are available at the following URLs:
 
 - [AutoGen](https://github.com/microsoft/autogen) is a versatile open-source
   framework for creating generative multi-agent systems.
-  
+
 ## Authors
 
 Maxime MORGE