Looking forward to seeing some creative new uses of Llama 3.1 405B on @ProductHunt
!
@aiatmeta
-
Llama 3.1 405B Creative Applications on Product Hunt
By
–
-
Llama 3.1 Models Now Available on Amazon Bedrock
By
–
Ready to see these Llama 3.1 models in action on Amazon Bedrock!
-
Meta AI Models Now Available on Snowflake Cortex AI Platform
By
–
Excited to see these models on Snowflake Cortex AI!
-
Llama Early Days: More Releases Coming Soon
By
–
It’s still early days for Llama and we’re excited to share even more in the months to come. You can find more details on today’s new releases in the updated model card
-
Meta releases Llama 3.1 with Llama Guard 3 and Prompt Guard safety tools
By
–
In addition to Llama 3.1 models, we’re also releasing new resources to support trust and safety to enable developers to build responsibly from the start. Llama Guard 3 brings improved performance and multilingual support. Prompt Guard is a multi-label model to help developers
-
Llama 3.1 Introduces Zero-Shot Tool Use Capabilities
By
–
With these new models we’re also delivering improvements to tool use. Llama 3.1 supports zero-shot tool use for web search, math and code execution. It knows what tool to abstractly call and how to interpret the result of the execution of those tools. Additionally, these models
-
New Llama Models Enable Synthetic Data Generation and Model Distillation
By
–
We believe these new Llama models will ignite new applications and modeling paradigms, including synthetic data generation and model distillation. With this release, we’ve updated our license to allow developers to use outputs from Llama models — including 405B — to improve
-
Llama 3.1 Delivers Multilingual Performance Across 8 Languages
By
–
Llama 3.1 brings strong performance across 8 languages, enabling use cases like multilingual conversational agents and translation.
-
Llama 3.1 Models Feature 16x Larger Context Window
By
–
Hearing feedback from the community, all of our new Llama 3.1 models deliver a 16x increase in context window going all the way up to 128K tokens. This enables new uses in long text summarization, coding and more. We took a careful approach to the balance of data used in