Grok-1.5 features improved reasoning and problem-solving capabilities, particularly in coding and math-related tasks. It also has a context length of 128,000 tokens, allowing it to process longer documents and maintain its instruction-following capability.
Grok-1.5 features improved reasoning and problem-solving capabilities, particularly in coding and math-related tasks.
Grok-1.5 can process long contexts of up to 128K tokens within its context window, allowing it to utilize information from substantially longer documents.
Grok-1.5 demonstrated powerful retrieval capabilities for embedded text within contexts of up to 128K tokens in length, achieving perfect retrieval results.
Grok-1.5 is built on a custom distributed training framework based on JAX, Rust, and Kubernetes, enabling the team to prototype ideas and train new architectures at scale with minimal effort.
Grok-1.5's training stack is designed to maximize reliability and uptime of the training job, with automatic detection and ejection of problematic nodes and optimized checkpointing, data loading, and training job restarts.
Use Grok-1.5 for coding and math-related tasks, such as solving complex problems or generating code.
Utilize Grok-1.5's long context understanding capabilities to process and analyze large documents or datasets.
Take advantage of Grok-1.5's improved instruction-following capabilities to generate high-quality text or responses.
Use Grok-1.5's custom distributed training framework to train and deploy your own models at scale.
Sign up for early access to Grok-1.5 and explore its capabilities
Use Grok-1.5's API or interface to integrate it into your applications or workflows
Train and fine-tune Grok-1.5 on your own datasets or tasks to adapt it to your specific needs
Monitor and evaluate Grok-1.5's performance and adjust its configuration or training as needed