EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·21d ago·5 min read
Grok 4.7
TL;DR
Grok 4.7 is a powerful new AI model designed for coding and knowledge work, featuring enhanced task management and self-verification capabilities. It offers improved performance on complex tasks while maintaining competitive pricing and speed.
✦ Why It Matters
Consider integrating Grok 4.7 into your coding workflows for improved task management and safety.
Key Takeaways
- Integrate Grok 4.7 for complex coding tasks.
- Utilize its self-verification features for accuracy.
- Leverage its safeguards for cybersecurity applications.
- Explore faster output options for efficiency.
Full Summary
Grok 4.7 is the latest iteration of an AI model optimized for coding and knowledge-intensive tasks. It utilizes a larger base model than its predecessor, Grok 4.6, and has undergone an extended reinforcement learning process focused on challenging, long-duration tasks.
This model excels in self-verification and managing longer context, making it particularly effective for document and presentation creation. In benchmarks like GDPval and AA Briefcase, Grok 4.7 outperforms Grok 4.6 and competes well with other leading models.
Additionally, it features a new safeguard stack that enhances its resistance to misuse, achieving a 62.4% score on LatchBio’s biosafety benchmark. Grok 4.7 is available through various platforms, priced at $2 per million input tokens and $6 per million output tokens, with a faster variant also offered.