Add PaLM2 to Models and Papers sections

pages/models/collection.ca.mdx

@@ -62,4 +62,5 @@ Aquesta secció consisteix en una col·lecció i resum de models LLM notables i
 | [GPT-4](https://arxiv.org/abs/2303.08774v3) | 2023 |GPT-4 Technical Report |
 | [PanGu-Σ](https://arxiv.org/abs/2303.10845v1) | 2023 | PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing |
 | [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance|
-| [Cerebras-GPT](https://arxiv.org/abs/2304.03208) | 2023 | Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster |
+| [Cerebras-GPT](https://arxiv.org/abs/2304.03208) | 2023 | Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster |
+| [PaLM 2](https://ai.google/static/documents/palm2techreport.pdf) | 2023 | A Language Model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. |

pages/models/collection.en.mdx

@@ -63,4 +63,5 @@ This section consists of a collection and summary of notable and foundational LL
 | [GPT-4](https://arxiv.org/abs/2303.08774v3) | 2023 |GPT-4 Technical Report |
 | [PanGu-Σ](https://arxiv.org/abs/2303.10845v1) | 2023 | PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing |
 | [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance|
-| [Cerebras-GPT](https://arxiv.org/abs/2304.03208) | 2023 | Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster |
+| [Cerebras-GPT](https://arxiv.org/abs/2304.03208) | 2023 | Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster |
+| [PaLM 2](https://ai.google/static/documents/palm2techreport.pdf) | 2023 | A Language Model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. |

pages/models/collection.es.mdx

@@ -64,3 +64,4 @@ Esta sección consta de una colección y resumen de LLMs notables y fundamentale
 | [PanGu-Σ](https://arxiv.org/abs/2303.10845v1) | 2023 | PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing |
 | [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance|
 | [Cerebras-GPT](https://arxiv.org/abs/2304.03208) | 2023 | Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster |
+| [PaLM 2](https://ai.google/static/documents/palm2techreport.pdf) | 2023 | A Language Model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. |

pages/models/collection.fr.mdx

@@ -63,4 +63,5 @@ Cette section est composée d'une collection et d'un résumé des LLMs notables
 | [GPT-4](https://arxiv.org/abs/2303.08774v3) | 2023 |GPT-4 Technical Report |
 | [PanGu-Σ](https://arxiv.org/abs/2303.10845v1) | 2023 | PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing |
 | [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance|
-| [Cerebras-GPT](https://arxiv.org/abs/2304.03208) | 2023 | Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster |
+| [Cerebras-GPT](https://arxiv.org/abs/2304.03208) | 2023 | Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster |
+| [PaLM 2](https://ai.google/static/documents/palm2techreport.pdf) | 2023 | A Language Model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. |

pages/models/collection.it.mdx

@@ -63,3 +63,4 @@ Questa sezione consiste in una raccolta e in una sintesi di LLM importanti e fon
 | [GPT-4](https://arxiv.org/abs/2303.08774v3) | 2023 |GPT-4 Technical Report |
 | [PanGu-Σ](https://arxiv.org/abs/2303.10845v1) | 2023 | PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing |
 | [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance|
+| [PaLM 2](https://ai.google/static/documents/palm2techreport.pdf) | 2023 | A Language Model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. |

pages/models/collection.jp.mdx

@@ -62,3 +62,4 @@ import { Callout, FileTree } from 'nextra-theme-docs'
 | [GPT-4](https://arxiv.org/abs/2303.08774v3) | 2023 | GPT-4 Technical Report |
 | [PanGu-Σ](https://arxiv.org/abs/2303.10845v1) | 2023 | PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing |
 | [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance |
+| [PaLM 2](https://ai.google/static/documents/palm2techreport.pdf) | 2023 | A Language Model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. |

pages/models/collection.kr.mdx

@@ -62,4 +62,5 @@ import { Callout, FileTree } from 'nextra-theme-docs'
 | [GPT-4](https://arxiv.org/abs/2303.08774v3) | 2023 |GPT-4 Technical Report |
 | [PanGu-Σ](https://arxiv.org/abs/2303.10845v1) | 2023 | PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing |
 | [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance|
-| [Cerebras-GPT](https://arxiv.org/abs/2304.03208) | 2023 | Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster |
+| [Cerebras-GPT](https://arxiv.org/abs/2304.03208) | 2023 | Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster |
+| [PaLM 2](https://ai.google/static/documents/palm2techreport.pdf) | 2023 | A Language Model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. |

pages/models/collection.pt.mdx

@@ -62,4 +62,5 @@ Esta seção consiste em uma coleção e resumo de LLMs notáveis e fundamentais
 | [LLaMA](https://arxiv.org/abs/2302.13971v1) | 2023 | LLaMA: Open and Efficient Foundation Language Models |
 | [GPT-4](https://arxiv.org/abs/2303.08774v3) | 2023 |GPT-4 Technical Report |
 | [PanGu-Σ](https://arxiv.org/abs/2303.10845v1) | 2023 | PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing |
-| [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance|
+| [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance|
+| [PaLM 2](https://ai.google/static/documents/palm2techreport.pdf) | 2023 | A Language Model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. |

pages/models/collection.tr.mdx

@@ -62,4 +62,5 @@ Bu bölüm, dikkate değer ve temel LLM'lerin bir koleksiyonunu ve özetini içe
 | [LLaMA](https://arxiv.org/abs/2302.13971v1) | 2023 | LLaMA: Open and Efficient Foundation Language Models |
 | [GPT-4](https://arxiv.org/abs/2303.08774v3) | 2023 |GPT-4 Technical Report |
 | [PanGu-Σ](https://arxiv.org/abs/2303.10845v1) | 2023 | PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing |
-| [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance|
+| [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance|
+| [PaLM 2](https://ai.google/static/documents/palm2techreport.pdf) | 2023 | A Language Model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. |

pages/models/collection.zh.mdx

@@ -61,4 +61,5 @@ This section consists of a collection and summary of notable and foundational LL
 | [LLaMA](https://arxiv.org/abs/2302.13971v1) | 2023 | LLaMA: Open and Efficient Foundation Language Models |
 | [GPT-4](https://arxiv.org/abs/2303.08774v3) | 2023 |GPT-4 Technical Report |
 | [PanGu-Σ](https://arxiv.org/abs/2303.10845v1) | 2023 | PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing |
-| [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance|
+| [BloombergGPT](https://arxiv.org/abs/2303.17564v1)| 2023 |BloombergGPT: A Large Language Model for Finance|
+| [PaLM 2](https://ai.google/static/documents/palm2techreport.pdf) | 2023 | A Language Model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. |

pages/papers.ca.mdx

@@ -129,7 +129,8 @@ A continuació es mostren els últims articles (ordenats per data de llançament
   - [Scaling Laws for Neural Language Models](https://arxiv.org/abs/2001.08361) (Gener 2020)
 
 ## Aplicacions
-  
+
+  - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [Are LLMs All You Need for Task-Oriented Dialogue?](https://arxiv.org/abs/2304.06556) (Abril 2023)
   - [HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting](https://arxiv.org/abs/2304.05973) (Abril 2023)
   - [Approximating Human Evaluation of Social Chatbots with Prompting](https://arxiv.org/abs/2304.05253) (Abril 2023)

pages/papers.en.mdx

@@ -129,7 +129,8 @@ The following are the latest papers (sorted by release date) on prompt engineeri
   - [Scaling Laws for Neural Language Models](https://arxiv.org/abs/2001.08361) (Jan 2020)
 
 ## Applications
-  
+
+  - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [Are LLMs All You Need for Task-Oriented Dialogue?](https://arxiv.org/abs/2304.06556) (April 2023)
   - [HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting](https://arxiv.org/abs/2304.05973) (April 2023)
   - [Approximating Human Evaluation of Social Chatbots with Prompting](https://arxiv.org/abs/2304.05253) (April 2023)

pages/papers.es.mdx

@@ -126,6 +126,7 @@ A continuación se presentan los últimos artículos (ordenados por fecha de pub
 
 ## Aplicaciones
 
+  - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [Automated Reading Passage Generation with OpenAI's Large Language Model](https://arxiv.org/abs/2304.04616) (April 2023)
   - [WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus](https://arxiv.org/abs/2304.04358) (April 2023)
   - [Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition](https://arxiv.org/abs/2304.04704) (April 2023)

pages/papers.fr.mdx

@@ -125,7 +125,8 @@ Voici les derniers articles sur le prompt engineering (classés par date de publ
   - [Scaling Laws for Neural Language Models](https://arxiv.org/abs/2001.08361) (Jan 2020)
 
 ## Applications
-  
+
+  - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [Automated Reading Passage Generation with OpenAI's Large Language Model](https://arxiv.org/abs/2304.04616) (April 2023)
   - [WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus](https://arxiv.org/abs/2304.04358) (April 2023)
   - [Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition](https://arxiv.org/abs/2304.04704) (April 2023)

pages/papers.it.mdx

@@ -121,7 +121,8 @@ Di seguito sono riportati gli articoli scientifici più recenti (ordinati in bas
   - [Scaling Laws for Neural Language Models](https://arxiv.org/abs/2001.08361) (Gennaio 2020)
 
 ## Applicazioni
-  
+
+  - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [Assessing Language Model Deployment with Risk Cards]() (Aprile 2023)
   - [Enhancing Large Language Models with Climate Resources](https://arxiv.org/abs/2304.00116) (Marzo 2023)
   - [BloombergGPT: A Large Language Model for Finance](https://arxiv.org/abs/2303.17564) (Marzo 2023)

pages/papers.jp.mdx

@@ -118,7 +118,8 @@
   - [Scaling Laws for Neural Language Models](https://arxiv.org/abs/2001.08361) (Jan 2020)
 
 ## Applications
-  
+
+  - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [BloombergGPT: A Large Language Model for Finance](https://arxiv.org/abs/2303.17564) (March 2023)
   - [Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts](https://arxiv.org/abs/2303.17408) (March 2023)
   - [Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes](https://arxiv.org/abs/2303.15846) (March 2023)

pages/papers.kr.mdx

@@ -120,7 +120,8 @@
   - [Scaling Laws for Neural Language Models](https://arxiv.org/abs/2001.08361) (Jan 2020)
 
 ## Applications
-  
+
+  - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [Assessing Language Model Deployment with Risk Cards]() (April 2023)
   - [Enhancing Large Language Models with Climate Resources](https://arxiv.org/abs/2304.00116) (March 2023)
   - [BloombergGPT: A Large Language Model for Finance](https://arxiv.org/abs/2303.17564) (March 2023)

pages/papers.pt.mdx

@@ -118,7 +118,8 @@ A seguir estão os artigos mais recentes (classificados por data de lançamento)
   - [Scaling Laws for Neural Language Models](https://arxiv.org/abs/2001.08361) (Jan 2020)
 
 ## Aplicações
-  
+
+  - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [BloombergGPT: A Large Language Model for Finance](https://arxiv.org/abs/2303.17564) (March 2023)
   - [Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts](https://arxiv.org/abs/2303.17408) (March 2023)
   - [Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes](https://arxiv.org/abs/2303.15846) (March 2023)

pages/papers.tr.mdx

@@ -118,7 +118,7 @@ Aşağıdakiler, hızlı mühendislikle ilgili en son makalelerdir (yayınlanma
   - [Scaling Laws for Neural Language Models](https://arxiv.org/abs/2001.08361) (Jan 2020)
 
 ## Uygulamalar
-  
+   - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [BloombergGPT: A Large Language Model for Finance](https://arxiv.org/abs/2303.17564) (March 2023)
   - [Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts](https://arxiv.org/abs/2303.17408) (March 2023)
   - [Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes](https://arxiv.org/abs/2303.15846) (March 2023)

pages/papers.zh.mdx

@@ -118,7 +118,7 @@
   - [Scaling Laws for Neural Language Models](https://arxiv.org/abs/2001.08361) (Jan 2020)
 
 ## 应用
-
+  - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [BloombergGPT: A Large Language Model for Finance](https://arxiv.org/abs/2303.17564) (March 2023)
   - [Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts](https://arxiv.org/abs/2303.17408) (March 2023)
   - [Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes](https://arxiv.org/abs/2303.15846) (March 2023)