Across a wide range of helpfulness and safety benchmarks the Llama 2-Chat models perform better. Our fine-tuned LLMs called Llama-2-Chat are optimized for dialogue use cases. Llama 2 was pretrained on publicly available online data sources. Llama 2-Chat has a high win rate plus tie rate which means that it outperforms numerous. In this work we develop and release Llama 2 a collection of pretrained and fine-tuned large. In order to include recently established open source LLMs 19 into our evaluation we additionally deployed. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion. As shown in Figure 12 Llama 2-Chat models outperform open-source models by a significant margin on both single..
Medium
Across a wide range of helpfulness and safety benchmarks the Llama 2-Chat models perform better. Our fine-tuned LLMs called Llama-2-Chat are optimized for dialogue use cases. Llama 2 was pretrained on publicly available online data sources. Llama 2-Chat has a high win rate plus tie rate which means that it outperforms numerous. In this work we develop and release Llama 2 a collection of pretrained and fine-tuned large. In order to include recently established open source LLMs 19 into our evaluation we additionally deployed. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion. As shown in Figure 12 Llama 2-Chat models outperform open-source models by a significant margin on both single..
Deepgram
Comments