The Data Exchange with Ben Lorica What AI Teams Need to Know for 2025
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Jan 16, 2025 The conversation dives into the transformation of AI from a buzzword to a crucial business asset by 2025. Key topics include advancements in post-training optimization, self-correcting AI systems, and the impact of synthetic data. The challenges of navigating emerging regulations in the U.S. and Europe are discussed, alongside the importance of model agnosticism for AI teams. Additionally, there's a focus on the political ramifications of semiconductor controls and the role of AI in cybersecurity and real-time deepfake detection.
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Master Post-Training for Enterprise AI
- Master post-training techniques for enterprise AI, including fine-tuning and optimization.
- Develop targeted benchmarks and evaluation tools relevant to your specific enterprise applications.
AI-Powered Coding Tools: Beyond Autocomplete
- AI-powered coding tools boost developer productivity significantly, not just autocomplete.
- The next step is enhancing AI coding tools to support entire workflows, like full-stack web development.
Agentic AI and Multimodal Models
- AI agents are growing, with 400 vendors developing solutions and related infrastructure.
- Multimodal foundation models will expand agent capabilities beyond text-based tasks to vision and screen interaction.