Prompt and Circumstance: The Art and Science of Teaching Large Language Models
Aaron Wise
Few-shot prompting lets teams guide AI with examples, not retraining, by shaping clear tasks and patterns in real time.
Tag
artificial intelligence
Linking It All Together: The Power of Graph Databases and Knowledge Graphs
Aaron Wise
Graph databases shine when data relationships are as vital as the data, enabling efficient modeling of complex, interconnected systems.
Decentralized Intelligence: Smarter Models, Safer Data, Zero Trust Issues
Aaron Wise
Federated learning trains AI models across decentralized data sources while preserving privacy by sharing only model updates, not raw data.
Grounding AI: Keeping Foundation Models Rooted in Reality
Aaron Wise
Grounding ensures AI outputs are factually accurate by linking them to real-world data, verified sources, and contextual truth.
Beyond the Cloud: How Edge AI is Redefining Intelligent Computing
Aaron Wise
Edge AI brings real-time intelligence to devices, reducing latency and dependency on the cloud through optimized models and decentralized processing.
AI Meets Customer Success: Amplifying Impact, Not Replacing Humans
Aaron Wise
AI augments customer success by automating repetitive tasks, enabling proactive engagement, and freeing human teams for high-value interactions.
Agentic Loops: Driving Operational Excellence in Modern Organizations
Aaron Wise
Agentic loops combine automation, data, and human judgment in self-improving cycles to drive operational efficiency.
The New Data Frontier: How Synthetic Data is Changing the Game for AI and Privacy
Aaron Wise
Synthetic data offers a privacy-preserving, scalable alternative to real-world data for training AI models and testing systems.
Engineering Excellence: The Must-Read Papers That Every Modern Engineer Should Know (and Actually Enjoy)
Aaron Wise
Foundational papers like *The Cathedral and the Bazaar* and *Paxos Made Simple* explain core principles in software, systems, and distributed design.
AI Agents Today: Navigating the Future with Smarter, Multi-Agent Innovation
Aaron Wise
Multi-agent systems enable scalable, resilient AI solutions by distributing tasks across autonomous, cooperating agents.