Locally downloadable, permissive model weights for self-hosting.
DeepSeek's release of open-weights reasoning model R1 has sent shockwaves across global tech markets, offering o1-level chain-of-thought at 95% lower API cost.
Indian banks and tier-1 IT firms are adopting on-premise RAG architectures, role-based access control, and air-gapped models to comply with RBI guidelines.
How DeepSeek-V3 achieved 671B parameters with only 37B activated per token, training on just 2,048 H800 GPUs for under $6 million.
Meta's latest open-weights model achieves 405B-class benchmark performance on a single 8x H100 node or quantized 4-bit dual RTX 4090s.
Clear, jargon-free explanation of how neural networks predict next tokens, how transformers process text, and why fine-tuning creates intelligent AI systems.
A practical tutorial on running quantized 1.5B, 7B, 14B, and 32B DeepSeek-R1 reasoning models completely offline on Mac, Windows, and Linux.
Mistral's first multimodal model processes arbitrary aspect ratios without tiling artifacts. We tested it on Indian tax invoices and technical diagrams.