After migrating 12 production LLM workloads from Llama 2 13B to Mistral 2 7B with domain-specific fine-tuning, we cut inference costs by 62%, reduced p99 latency by 41%, and maintained 98.7% of baseline accuracy. Here’s the unvarnished data, no vendor hype. 📡 Hacker News Top Stories Right Now Agents can now create Cloudflare accounts, buy domains, and deploy (323 points) StarFighter 16-Inch (328 points) CARA 2.0 – “I Built a Better Robot Dog” (152 points) Batteries Not Included, or Required, for These Smart Home Sensors (26 points) Knitting bullshit (55 points) Key Insights Fine-tuned Mistral 2 7B outperforms Llama 2 13B on 9/12 domain-specific NLP tasks at 1/3 the inference cost Mistral 2 8x7B matches GPT-3.5 Turbo accuracy on code generation workloads after 12 hours of LoRA fine-tuning on 4xA100 nodes Full fine-tuning of Mistral 2 7B requires 38% less VRAM than equivalent Llama 2 7B workloads when using FlashAttention-2 and 4-bit quantization By 2025, 70% of enterprise LLM migrations will target…