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Update README.md
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README.md
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@@ -26,12 +26,19 @@ K2 was developed as a collaboration between [MBZUAI](https://mbzuai.ac.ae/instit
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## LLM360 Model Performance and Evaluation Collection
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The LLM360 Performance and Evaluation Collection is a robust evaluations set consisting of general and domain specific evaluations to assess model knowledge and function.
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put the general table in here
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Detailed analysis can be found on the K2 Weights and Biases project [here](wandb.ai)
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view the prompt gallery here - Detailed analysis can be found on the K2 Weights and Biases project [here](wandb.ai)
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## LLM360 Developer Suite
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We provide step-by-step finetuning tutorials for tech enthusiasts, AI practitioners and academic or industry researchers here [llm360.ai/pretraining].
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#Put inference section here.
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##
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- **Model type:** 65 billion parameter language model with the same architecture as LLaMA.
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- **Language(s) (NLP):** English
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- **License:** Apache 2.0
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- **Resources for more information:**
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- Training Code: TBD
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- Data Preparation: TBD
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- Metrics: TBD
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- Fully processed K2 pretraining dataset: TBD
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LLM360 is an initiative for comprehensive and fully open-sourced LLMs,
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where all training details, model checkpoints, intermediate results, and
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additional analyses are made available to the community. Our goal is to advance
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the field by inviting the community to deepen the understanding of LLMs
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together. As the first step of the project LLM360, we release all intermediate
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model checkpoints, our fully-prepared pre-training dataset, all source code and
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configurations, and training details. We are
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committed to continually pushing the boundaries of LLMs through this open-source
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effort.
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[Visit us](https://www.llm360.ai/)
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## LLM360 Model Performance and Evaluation Collection
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The LLM360 Performance and Evaluation Collection is a robust evaluations set consisting of general and domain specific evaluations to assess model knowledge and function.
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Evaluations include standard best practice benchmarks, medical, math, and coding knowledge. More about the evaluations can be found [here](llm360.ai/evaluations).
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make a table with all 6 graphs in one picture
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Detailed analysis can be found on the K2 Weights and Biases project [here](wandb.ai)
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view the prompt gallery here - Detailed analysis can be found on the K2 Weights and Biases project [here](wandb.ai)
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## LLM360 Developer Suite
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We provide step-by-step finetuning tutorials for tech enthusiasts, AI practitioners and academic or industry researchers here [llm360.ai/pretraining].
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# Put inference section here.
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## About LLM360
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LLM360 is an open research lab enabling community-owned AGI through open-source large model research and development.
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LLM360 enables community-owned AGI by creating standards and tools to advance the bleeding edge of LLM capability and empower knowledge transfer, research, and development.
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We believe in a future where artificial general intelligence (AGI) is created by the community, for the community. Through an open ecosystem of equitable computational resources, high quality data, and flowing technical knowledge, we can ensure ethical AGI development and universal access for all innovators.
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[Visit us](https://www.llm360.ai/)
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