weekly update

assets/anthropic.yaml

@@ -545,3 +545,23 @@
   prohibited_uses: ''
   monitoring: ''
   feedback: none
+- type: application
+  name: Claude for Sheets
+  organization: Anthropic
+  description: Claude for Sheets is a Google Sheets add-on that allows the usage of Claude directly in Google Sheets.
+  created_date: 2023-12-21
+  url: https://workspace.google.com/marketplace/app/claude_for_sheets/909417792257
+  dependencies: [Claude]
+  adaptation: ''
+  output_space: AI-generated text from prompt
+  quality_control: ''
+  access: open
+  license: unknown
+  terms_of_service: https://claude.ai/legal
+  intended_uses: as an integrated AI assistant in Google Sheets
+  prohibited_uses: ''
+  monitoring: unknown
+  feedback: Reviews on https://workspace.google.com/marketplace/app/claude_for_sheets/909417792257
+  monthly_active_users: unknown
+  user_distribution: unknown
+  failures: unknown

assets/cresta.yaml

@@ -0,0 +1,22 @@
+---
+- type: model
+  name: Ocean-1
+  organization: Cresta
+  description: Ocean-1 is the culmination of Cresta's experience in deploying generative AI systems for large enterprises and signifies their latest milestone in advancing the cutting edge AI technology for customer facing conversations.
+  created_date: 2023-06-20
+  url: https://cresta.com/blog/introducing-ocean-1-worlds-first-contact-center-foundation-model/
+  model_card: none
+  modality: text; text
+  analysis: Outperforms GPT-4 in common sense and reasoning tasks on the basis of both efficiency and accuracy.
+  size: 7B parameters (dense)
+  dependencies: [GPT-4, Claude, Falcon-40B]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: unknown
+  quality_control: ''
+  access: closed
+  license: unknown
+  intended_uses: Acting as a contact center chatbot agent.
+  prohibited_uses: none
+  monitoring: unknown
+  feedback: none

assets/deci.yaml

@@ -0,0 +1,22 @@
+---
+- type: model
+  name: DeciLM
+  organization: Deci
+  description: DeciLM is a LLM that on release ranks as the fastest and most accurate model of its size.
+  created_date: 2023-12-12
+  url: https://deci.ai/blog/introducing-decilm-7b-the-fastest-and-most-accurate-7b-large-language-model-to-date
+  model_card: https://deci.ai/model-zoo/decilm-7b/
+  modality: text; text
+  analysis: Evaluated on the OpenLLM benchmarks and, on release, outperforms all other 7B models on the OpenLLM Leaderboard.
+  size: 7B parameters (dense)
+  dependencies: []
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: NVIDIA A10 GPUs
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: This model is intended for commercial and research use in English and can be fine-tuned for use in other languages.
+  prohibited_uses: ''
+  monitoring: unknown
+  feedback: none

assets/google.yaml

@@ -1678,3 +1678,24 @@
     within specific downstream applications without prior assessment
   monitoring: Google internal monitoring
   feedback: Specific queries provided by annotators
+- type: model
+  name: MedLM
+  organization: Google
+  description: MedLM is a collection of foundation models tuned to follow natural language instructions for tasks in medicine, such as question answering and creating draft summaries.
+  created_date: 2023-12-13
+  url: https://cloud.google.com/vertex-ai/docs/generative-ai/medlm/overview
+  model_card: https://cloud.google.com/static/vertex-ai/docs/generative-ai/medlm/MedLM-model-card.pdf
+  modality: text; text
+  analysis: Assessed on medical benchmarks of professional medical exams, medical research, and consumer queries.
+  size: unknown
+  dependencies: []
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: unknown
+  quality_control: ''
+  access: limited
+  license: unknown
+  intended_uses: to be used for question answering and creating draft summaries from existing documentation, to be reviewed, edited, and approved by the user before use.
+  prohibited_uses: ''
+  monitoring: Google internal monitoring
+  feedback: none

assets/llm360.yaml

@@ -0,0 +1,44 @@
+---
+- type: model
+  name: Amber
+  organization: LLM360
+  description: Amber is the first model in the LLM360 family, an initiative for comprehensive and fully open-sourced LLMs, where all training details, model checkpoints, intermediate results, and additional analyses are made available to the community.
+  created_date: 2023-12-12
+  url: https://www.llm360.ai/
+  model_card: https://huggingface.co/LLM360/Amber
+  modality: text; text
+  analysis: Evaluated on several benchmark LLM tasks 
+  size: 7B parameters (dense)
+  dependencies: [Arxiv, Books, C4, RefinedWeb, StarCoder, StackExchange, Wikipedia]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: 56 DGX A100 nodes, each equipped with 4 80GB A100 GPUs
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: to support open and collaborative AI research by making the full LLM training process transparent. 
+  prohibited_uses: ''
+  monitoring: unknown
+  feedback: https://huggingface.co/LLM360/Amber/discussions
+
+- type: model
+  name: CrystalCoder
+  organization: LLM360
+  description: CrystalCoder is a language model with a balance of code and text data that follows the initiative under LLM360 of its training process being fully transparent.
+  created_date: 2023-12-12
+  url: https://www.llm360.ai/
+  model_card: https://huggingface.co/LLM360/CrystalCoder
+  modality: text; code, text
+  analysis: Evaluated on English and coding tasks and benchmarks, and outperforms LLaMA 2 in some.
+  size: 7B parameters (dense)
+  dependencies: [SlimPajama dataset, StarCoder]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: Trained on the Cerebras Condor Galaxy 1 (CG-1), a 4 exaFLOPS, 54 million core, 64-node cloud AI supercomputer.
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: to support open and collaborative AI research by making the full LLM training process transparent. 
+  prohibited_uses: ''
+  monitoring: unknown
+  feedback: https://huggingface.co/LLM360/CrystalCoder/discussions

js/main.js

@@ -629,6 +629,9 @@ function loadAssetsAndRenderPageContent() {
 
   const paths = [
     'assets/adept.yaml',
+    'assets/cresta.yaml',
+    'assets/llm360.yaml',
+    'assets/deci.yaml',
     'assets/mila.yaml',
     'assets/soochow.yaml',
     'assets/baichuan.yaml',