Elicit转发了
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Elicit, the AI research assistant, helps you automate time-consuming research tasks like summarizing papers, extracting data, and synthesizing your findings. We're a public benefit company with a mission is to scale up good reasoning. We want machine learning to help as much with thinking and reflection as it does with tasks that have clear short-term outcomes.
Elicit的外部链接
US,CA,Oakland
Elicit转发了
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Elicit转发了
Computational Biology, ML/AI, Digital Health, Clinical Research | Consulting/Contract | Stanford, GRAIL, 23andMe
If you’re a researcher and you haven’t tried Elicit - particularly when you need to understand an unfamiliar field rapidly - you’re in for a treat! Apart from ChatGPT, this is the only AI tool I pay for.
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Elicit转发了
Understanding the Intersection between Health, Society, and the Internet | Behavior Research Analyst | Consultant on Quantitative and Qualitative methods
I had the pleasure of recently presenting a very well attended presentation on using contemporary AI tools to speed up your research at American Psychological Association's 2024 conference in Seattle. It was literally wall to wall packed (and yes, I used AI to blur faces in the photo). All those who attended were welcomed to write a paper with me using AI on a variety of topics (who will be reaching out to shortly!). The whole presentation is available here: https://osf.io/bnefc Shoutout to R Discovery, Elicit, LM Studio for being the most popular products people talked to me about. Elicit especially was loved.
"Be Human" is one of Elicit's core values - and this is one of the surprising ways it pops up in our day to day. We have a blast celebrating each person's individual superpowers and quirks, and see them as a key part of what makes our team uniquely strong. Want to join a company that values authenticity? You can learn all about the values that shape us at elicit.com/careers We can't wait to create your user guide next!
Find your authentic sales voice || ????????Tech Sales Performance Coach || Co-host Decoding Sales Podcast || Speaker
What’s a human-centric startup tradition you’ve instituted? One of my clients, Elicit, puts a doc together for each of their employees’ birthdays and has the entire team add quotes, stories, and nice words about them. They call it the birthday person’s “user guide”. This user guide is then reviewed live during their Friday morning team sync. This week Elicit celebrated Ben Rachbach's birthday. It was so special to see the team’s genuine appreciation for someone like Ben. He was all smiles and it was awesome to also see his gratitude on full display for all the nice, thoughtful words that were written about him. I’ve had the pleasure of working directly with Ben as he’s very involved with helping Elicit’s enterprise customers be successful in cutting down the manual work that’s typically involved with systematic literature reviews. Every client he comes in touch with loves him and he takes so much personal pride in giving them AI superpowers that actually work ?? After every customer call we’re on together he’s also hungry for feedback and has a growth mindset that is rarely seen. There’s so much more I can say but I want to add that he’s also just generally a good human, which was echo’ed consistently across the team within his “user guide”. Happy birthday Ben it’s been a pleasure collaborating with you, Jungwon Byun, Andreas Stuhlmüller, Kevin Bird, Sarah Park, James Brady, and the entire Elicit team! What would your user guide say? #fridayperspective #startuptraditions
Elicit转发了
Find your authentic sales voice || ????????Tech Sales Performance Coach || Co-host Decoding Sales Podcast || Speaker
What’s a human-centric startup tradition you’ve instituted? One of my clients, Elicit, puts a doc together for each of their employees’ birthdays and has the entire team add quotes, stories, and nice words about them. They call it the birthday person’s “user guide”. This user guide is then reviewed live during their Friday morning team sync. This week Elicit celebrated Ben Rachbach's birthday. It was so special to see the team’s genuine appreciation for someone like Ben. He was all smiles and it was awesome to also see his gratitude on full display for all the nice, thoughtful words that were written about him. I’ve had the pleasure of working directly with Ben as he’s very involved with helping Elicit’s enterprise customers be successful in cutting down the manual work that’s typically involved with systematic literature reviews. Every client he comes in touch with loves him and he takes so much personal pride in giving them AI superpowers that actually work ?? After every customer call we’re on together he’s also hungry for feedback and has a growth mindset that is rarely seen. There’s so much more I can say but I want to add that he’s also just generally a good human, which was echo’ed consistently across the team within his “user guide”. Happy birthday Ben it’s been a pleasure collaborating with you, Jungwon Byun, Andreas Stuhlmüller, Kevin Bird, Sarah Park, James Brady, and the entire Elicit team! What would your user guide say? #fridayperspective #startuptraditions
Elicit转发了
"AI tools that actually work" is about the best possible compliment you can get as an AI tool right now
?? We’ve substantially improved Elicit’s answers across the app: - Summaries of top papers now have 78% fewer errors - Abstract summaries better follow your query with 88% fewer errors - Standard custom columns now have 37% fewer errors than before All the features above can be used an UNLIMITED number of times for free, thanks to the pricing changes we rolled out in the past few weeks. We’re excited to see these new improvements speed up your work and help you find research insights faster!
Elicit转发了
We invest a lot in evaluations at Elicit. We want to be known for our accuracy and overcome the limited truthfulness of LLMs. So we’ve built a suite of tools to understand LLM quality for research tasks demanding high accuracy. We’ve tried every single option there is - hiring contractors, working with expert users, using existing benchmarks, creating our own benchmarks, etc. etc. Now, models are capable enough that they can evaluate other models. But how do you trust the evaluators? In this post, étienne Fortier-Dubois lays out the trust-scalability-flexibility tradeoff with evals and how we managed to scale up evaluation to support constantly improving models, over a dozen different tasks, and hundreds of thousands of LLM outputs per day.
To make sure Elicit delivers the most trustworthy research results, we must constantly evaluate it, and we must do that *at scale*. On the Elicit blog, étienne Fortier-Dubois describes how we evaluate LLM output, the tradeoffs between trust, scale, and flexibility and how we find our way around these tradeoffs. Read the full post at the link in the comments. And if the challenge of scaling trust appeals to you, join our team!
Elicit转发了
There's no short-cut to ensuring that Elicit gives accurate answers to questions, but there are better and worse strategies. In this post, we describe a few approaches we've tried and what we currently do to make Elicit the most trustworthy tool out there.
To make sure Elicit delivers the most trustworthy research results, we must constantly evaluate it, and we must do that *at scale*. On the Elicit blog, étienne Fortier-Dubois describes how we evaluate LLM output, the tradeoffs between trust, scale, and flexibility and how we find our way around these tradeoffs. Read the full post at the link in the comments. And if the challenge of scaling trust appeals to you, join our team!
Elicit转发了
Finally out - Elicit's new search is much better for technical searches and nuanced queries E.g. "arguments against universal basic income" surfaces papers that actually argue against UBI, not just vaguely related papers
We’ve completely overhauled Elicit’s semantic search! Quality has almost doubled in some cases - Elicit search results will now contain 78% more relevant papers, if you are searching for papers for a systematic review. Across all Elicit searches, you will find 40% more relevant papers. These results are based on systematic evaluation over 5 million papers. We're also launching advanced search using 14 filters. You can search based on title, journal, author, keywords, PubMed ID, DOI, publication year, open access status, citation count, and more. You can combine criteria to run AND / OR searches. For the full list of filters and how you can use them to control your search, check out this post: https://lnkd.in/g45CGJ-n And kudos to Justin Reppert, Ben Rachbach, and Adrian Smith for leading this massive project!