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A 30-minute workshop by the creator of Claude Code covering 'vibe-coding' techniques and Claude usage patterns.
MIT hosted a 2025 workshop on the future of AI and mathematical/physical sciences, bringing together leading researchers to explore how these domains can advance each other. The resulting white paper emphasizes that AI and science should have a two-way relationship, with science informing AI development and AI improving scientific discovery.
OpenAI held its first Spinning Up in Deep RL Workshop on February 2, engaging ~90 in-person participants and ~300 livestream viewers to provide education in deep RL, robotics, and AI safety through talks, mentorship, and hands-on projects.
At the AI Engineer World Congress, Daniel Han delivered an in-depth talk on the practical experiences of reinforcement learning, model fine-tuning, quantization, and agents. He reviewed the evolution of open-source models from Llama to DeepSeek R1 and analyzed the five key stages of modern model training.