Results for “Elicit”

Elicit automates slow parts of academic research: finding papers, extracting data, building literature matrices. Look at what it saves PhDs 20 hours a week.

A tour of the research-agent tool landscape and how to pick the right one per task. The meta-skill: knowing which tool for which question.

Built for researchers, free for students. Two tools that fix ChatGPT's biggest flaw for school papers.

Tools like Elicit and ASReview are reshaping systematic review. Here's how to use them without sacrificing rigor.

Literature review in minutes, protein structures on demand, AI-proposed drug candidates. The discovery cycle has compressed — but the human posing the question still sets the direction.

AI turns weeks of literature review into days — if you know how to use it. Here is a workflow that actually works.

Use AI to help your teen narrow a sprawling college list using their actual stated priorities.

In the 1970s and 80s, AI found its first real customers by encoding expert knowledge as if-then rules.

Calibrate the demand letter so it earns a real response, not a reflexive denial.

A primary source is the original — the first-hand account or original data. A secondary source describes or analyzes a primary source. Smart researchers use both, but they know the difference.

AI sometimes invents fake sources that look real. Always verify before citing. Here is how teens stay out of trouble.

ChatGPT invents real-looking academic sources that don't exist. The 30-second fact-check that saves your essay.

A repeatable workflow for reviewing 20 papers in the time it used to take to read 2.

Labs run dangerous-capability evaluations before release. Which results go public, and which stay private? The line is moving, and it matters.

A model that behaves well in training and differently in deployment. It is a theoretical concept with growing empirical hints. Here is the full picture.

Perplexity is fast at literature scoping and slow at literature reviewing. Knowing where the line falls saves graduate students from rookie mistakes.

Use AI to facilitate drafting a screen time contract the kids actually had a voice in.

Health coaches and wellness programs are increasingly AI-augmented. AI can generate motivational interviewing-aligned coaching scripts, goal-setting frameworks, and relapse-recovery prompts — extending reach while maintaining behavior change principles.

What if you have to supervise a student smarter than you? OpenAI's 2023 paper asked that question by using GPT-2 to train GPT-4. The results were surprising.

Which model when? Claude, GPT, Gemini, Grok — and how to choose. 578 lessons.

Literature reviews, source checking, synthesis, and evidence-aware workflows. 280 lessons.

Medical researchers design studies that discover new treatments and prevent disease. AI accelerates everything from literature review to drug design.

Professors teach college students and run research programs. AI assists writing, literature review, and grading.

Coaxing out a model's hidden abilities through clever prompting, scaffolding, or fine-tuning.

Latent ability that's already in a model but only surfaces with the right technique.

When a model intentionally performs worse than it can to avoid detection.