Simplify your research with Humata AI

21

October

2023

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Approximately two years ago, I dedicated considerable effort to my undergraduate thesis, diligently reviewing around 10 articles daily. During this period, AI tools were not as accessible as they are today. Consequently, I did not actively pursue an AI solution to enhance my efficiency. Recently, however, I encountered Humata, which offers a potential solution for this problem. 

Humata AI, an AI assistant tool, leverages Large Language Model (LLM), to facilitate users to pose inquiries regarding their documents and receive relevant information. Humata uses AI to create two values for their users: automation and better decisions. It essentially functions as a ChatGPT for PDF files, but is tailored for the analysis and comprehension of lengthy papers and various document types. It enables users to grasp data more rapidly and swiftly navigate through a PDF document (Humata, n.d.).

I decided to experiment with this tool, and here is my assessment:

Upon logging in, you have the option to upload your file directly. The file I uploaded had a size of 1129 KB, and it took me under a minute to initiate my inquiries.

Prior to posing questions, Humata will provide you with a concise overview of the article. Additionally, it will offer a selection of sample questions.

The tool not only provides you with a response but also emphasizes the paragraphs containing the answer, specifies the page(s) where the answer is located, and includes citations to enable users to trace the source of the information.

Overall, I discovered the tool to be highly beneficial. It could enhance research in innovative ways. I would recommend it to briefly skim PDF files during your studies. Nevertheless, there was some ambiguity as a significant portion of the PDF file was highlighted when I posed my question.

However, these AI tools that enhance academic research come with risks. One of them is the risk of overly relying on technology, impeding our capacity for critical thinking and problem-solving. (Esplugas, 2023). It can also provide an unfair advantage to the more privileged members of society due to its costs (Esplugas, 2023).

Humata offers four different subscription plans, including a free plan that permits users to upload up to 60 pages and pose a total of 10 questions. There is also a student plan available for $1.99, allowing students to upload up to 200 pages and access basic chat support (Humata, n.d.).

Sources:

Humata. (n.d.). https://www.humata.ai/ 

Esplugas, M. (2023). The use of artificial intelligence (AI) to enhance academic communication, education and research: a balanced approach. Journal of Hand Surgery (European Volume), 48(8), 819-822.

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Hey Podcast Lover! Have You Heard Of Lex Fridman?

7

October

2020

As BIM-student, it is very likely that you are interested in topics like coding, Deep Learning, Artificial Intelligence, Machine Learning, human-robotic interaction, or Autonomous Vehicles. If by any chance you also enjoy listening to podcasts, you might be in luck:

I highly suggest you to check out the Lex Fridman Podcast.

LexFridman

Lex Fridman is an AI research scientist at the Massachusetts Institute of Technology, often better known as MIT. He works on developing deep learning approaches to human sensing, scene understanding, and human-AI interaction. He is particularly interested in applying these technologies in the field of Autonomous Driving.

LexFridmanTeaching

If you know the Joe Rogan Experience, you likely are already familiar with Lex. Having worked for both Google and Tesla, Lex Fridman understands the business application of digital technologies. He uses his podcast to share this knowledge with his audience and discusses his fascination with a variety of interesting guests. This can be particularly interesting for us as Business Information Management students, as we also form the future bridge between business ventures and technological innovation. The podcast discusses similar topics like we get taught in class, sometimes going more in depth, with international research experts in those particular fields.

If you enjoy podcasts, these are some examples of Lex Fridman Podcast episodes that I highly recommend you to give a listen as a BIM-student:
RecommendedEpisodes

  • Episode #31 with George Hotz: Comma.ai, OpenPilot, Autonomous Vehicles.
    Famous security hacker. First to hack the iPhone. First to hack the PlayStation 3. Started Comma.ai to create his own vehicle automation machine learning application. Wants to offer a $1000 automotive driving application, which drivers can use on their phone.

 

  • Episode #49 with Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue Dot.
    Elon Musk. Tech entrepreneur and founder of companies like Tesla, SpaceX, PayPal, Neuralink, OpenAI, and The Boring Company.

 

  • Episode #114 with Russ Tedrake: Underactuated Robotics.
    Professor of Electrical Engineering and Computer Science, Aeronautics and Astronautics, and Mechanical Engineering at MIT.

 

  • Episode #120 with François Chollet: Measures of Intelligence.
    French Software Engineer and researcher in Artificial Intelligence, who works for Google. Author of Keras – keras.io – a leading deep learning framework for Python, used by organisations such as CERN, Microsoft Research, NASA, Netflix, Yelp, Uber, and Google.

These were just several examples of episodes that I enjoyed myself.

The benefit of a podcast is that you can listen it basically anywhere, and can stop listening at any time. If you are not familiar with podcasts yet or with the listening experience they offer, maybe the Lex Fridman Podcast could be your first step into this experience.

You can find the episodes of the Lex Fridman Podcast here: https://lexfridman.com/podcast/

Or check out Lex Fridman’s Youtube channel here: https://www.youtube.com/user/lexfridman

The above sources have been used as sources for this post. 5/5 (7)

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