DeepSeek and Microsoft Just Slapped OpenAI Across the Face with New Insane Models!
AI Summary
- Deepseek Prover V2:
- Released a 671 billion parameter model capable of verifying formal math proofs.
- Utilizes FP8 quantization reducing memory requirements and improving efficiency.
- Potential applications include education, mathematical research, and cryptography.
- The open release generates debate over safety and accessibility.
- Community exploring quantization techniques for smaller variants.
- Xiaomi MIMO 7B:
- 7 billion parameter model focused on efficiency, outperforming larger models in math/coding tasks.
- Trained on a massive dataset with a high percentage of math and coding.
- Offers a context length of 32,768 tokens for complex tasks.
- Features multi-token prediction for faster reasoning.
- Available on GitHub under a permissive license for further development.
- Microsoft FI4 Reasoning Family:
- Consists of three models, including 14 billion parameters for reasoning tasks.
- Trained on curated boundary prompts to enhance reasoning capabilities.
- Aims at deployment in educational tools and engineering simulations.
- Includes detailed training logs for transparency and auditing.
- Future variants targeting science and advanced math tutoring are planned.
- Implications to Consider:
- Raising questions on the future of machine-generated systems and human oversight in creative fields.