TMLS Annual Conference & Expo 2026
The 10th Toronto Machine Learning Summit (June 16‑19, 2026) offers a broad set of tracks that showcase both cutting‑edge research and real‑world deployments. Core categories include Advanced Retrieval‑Augmented Generation (RAG) with production‑grade pipelines, Agentic Systems from modular DAGs to enterprise chatbots, and AI Ethics & Governance focusing on CI/CD‑integrated risk scans and compliance frameworks. Productivity‑oriented tracks highlight GenAI applications such as multilingual dubbing and banking chatbots. Technical/Engineering talks cover data engineering, LLM prompt engineering, fine‑tuning, safety, inference optimization, and monitoring. Specialized tracks address Data Preparation, Future Trends (memory‑augmented models, general agents), Regulated‑Industry GenAI deployments, Business Strategy, Hardware Platforms (AMD Instinct GPUs, quantization), Inference Scaling (FlashAttention, speculative decoding), lightweight MLOps for small teams, and Negative Results to surface failed experiments. Additional streams feature Fundamental Research, Traditional ML use‑cases, Vertical Enterprise AI agents, Multimodal LLMs, Executive insights from Canadian financial leaders, and Open‑Source Model Finetuning. The program includes keynotes from Hugging Face, Google DeepMind, NVIDIA, AMD, and academic speakers, plus hands‑on workshops and a big‑idea showcase of emerging generative‑AI innovations.
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