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New MEAP! Evaluation and Alignment, The Seminal Papers
Building trustworthy AI
It’s a fundamental truth that all software—even AI systems—is broken. AI engineers who can diagnose faults and refine systems to align with business needs are in high demand. Evaluation and Alignment, The Seminal Papers expands the foundational research into judging and adapting AI systems into a collection of practical techniques you can use on the job.
As you trace the progression from surface-level text matching, to semantic similarity, to judgment-based evaluation, you’ll build the mental models necessary to choose the right metrics, detect
failure modes, and close the loop from evaluation to alignment. You’ll employ a "working backwards" methodology that begins with what your system must get right, which directs you to the appropriate evaluation approach. Soon, you'll be making more informed tradeoffs, and expertly balancing helpfulness, safety, and brand voice in your models! [Read more]
3 chapters of this new MEAP are available now with more to follow soon!
