Unlock the potential of AI with our Deploying Small Language Models course (LFWS307). This comprehensive training covers the Hugging Face Model Ecosystem, zero-dependency deployment, and quantization techniques to optimize model performance. Participants will engage in hands-on labs such as downloading and benchmarking models like Phi-3-mini and Qwen2.5-1.5B, deploying via llamafile and Batuta, and building a RAG pipeline. By the end of the course, learners will be equipped to deploy models effectively, monitor performance, and utilize Kubernetes for scalable solutions. Gain the skills to leverage small language models for real-world applications, enhancing both speed and resource efficiency.
