Produces end-to-end systematic literature reviews. Elicit can find up to 1,000 relevant papers and analyze up to 20,000 data points at once using its customized workflow and Research Agents for landscape exploration. This will help expedite my literature review, particularly in putting together a comprehensive framework for AI Safety in Multi-Agentic systems, and allow me to cover considerably more ground in the 30-hour project than I otherwise could.
Offers mind map generation, visual thematic mapping, connected notes, and spatial organization of knowledge across papers. This will help me keep track of many more papers than I otherwise could and discover thematic connections among their topics.
SciSpace has an equation and formula explainer that would be invaluable for my learning as I am still early in building my AI research skills and since I am still building fluency in mathematical conventions, this would both allow me to move much faster over the notation (loss functions, attention mechanisms, gradient derivations, statistical tests, etc) by explaining concepts in plain-language with breakdowns.
Quickly contextualizes a claim within the broader literature. This will be useful for determining how well supported a particular article is (or whether most research would contradict the finding), so that I can move quickly across the landscape of topics related to multi-agent scenarios as I synthesize a general AI Safety framework.
Grants visibility into whether a finding has been supported or contradicted by later research. Scite can search across 280M+ sources. Like Consensus, this will allow me to move much faster across sources and make quicker decisions about what to include (or exclude) in my framework.
Browse popular AI papers, generate summaries, use custom prompts.
Multi-agent simulation cost calculator helps with understanding the costs involved in running a multi-agent simulation.