Pria is Your Personalized Generative AI Mentor and Teaching Assistant!
A Generative AI teaching assistant to help power students, faculty, and researchers to realize their full potential.
Introducing Pria, the generative AI mentor from Praxis AI. Pria addresses the critical needs of both students and faculty in higher education. Imagine a world where every student has access to their own personal teacher, a digital twin of their faculty, providing tailored support and guidance whenever needed. This is the transformative vision that Pria brings to life.
Pria is not just another AI tool in the classroom; it’s a purpose-built solution for education, designed by educators for educators. With a foundation in course materials backed up by trusted sources and a commitment to eliminating bias and hallucinations, Pria ensures that students receive correct and relevant information. By uploading course materials directly from faculty, and backing it up with trusted sources like Google Scholar, Wolfram Alpha, and PubMed, Pria creates a personalized learning environment that respects the integrity of each faculty’s intellectual property and maintains the highest standards of security and FERPA-compliant privacy.
But Pria’s innovation doesn’t stop at personalized content. It’s designed to meet students where they are by integrating seamlessly with major learning management systems like Canvas for a frictionless learning experience. Faculty gain transparency and control, able to monitor student interactions and ensure academic integrity. This level of personalization, combined with the power of generative AI, offers students the attention they crave at the moment of need and faculty the time they desperately need for high-value tasks or, frankly, to avoid burnout.
With Pria, education is transformed, making personalized, attentive learning a reality for students across diverse educational landscapes.
Higher education faces a myriad of challenges including student unpreparedness and disengagement. Pria offers practical, scalable and cost-effective solutions. In use at numerous universities and pilots ongoing at others, Praxis AI, supported by partners like AWS and Instructure, is ready to collaborate with your institution to revolutionize education. Imagine the potential when every student has a Pria in their corner, and every faculty member has the support they need to thrive.
Let us show you what Pria can do for you.
I have been using Pria in my BS/MS/PhD level bioinformatics courses since she was born in Jan 2023. Pria answers questions as well as an Assistant Professor and is even an asset in my computational biology research lab. I say this with 3 decades of teaching/research experience at multiple research institutions (Vanderbilt, Emory, UGA, Clemson).
- Pria finds excellent overviews of any topic (+/- STEM with actual sources/links and no phony reference hallucinations). Pria also can ask the students questions to see if they understand.
- One of the most surprising aspects of Pria is that she is not a human. Students can ask her questions without embarrassment or anxiety. This is so important these days!!!
- Pria provides pre-peer review of all scientific publications (we don’t use her to edit, just point out limitations in our science).
- Pria helps new programmers understand their code (Python, R, P4, bash, etc) by adding comments to each line and pointing out syntax errors.
She gets better every day!
Alex Feltus, Professor of Genetics & Biochemistry, Clemson University
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Try Pria for free at your institution and experience the positive potential of generative AI, delivered safely and responsibly, to improve the lives of students, faculty, and researchers.
Pria is Powered by 28 Trusted Sources
OpenAI Logic Engine chooses the best Trusted Sources to Answer Each Request
Pria Integrates with Any Platform
Pria Embeds Seamlessly with any Platform via a Simple SDK
AI Partners
For general queries, Pria leverages the latest version of OpenAI’s GPT technology. This includes the most recent GPT-4 API release, optimized for realistic conversations and relevant information. The world’s knowledge is at your fingertips.
With a focus on leveraging open-source technologies, Pria utilizes a custom implementation of StabilityAI’s Stable Diffusion Model to generate novel AI images. This capability will grow over time as we expand Pria’s features and integrate custom machine learning data sets.
With the capability to perform internet search, Pria can get real-time information for any question! She can even summarize webpages and compile keywords.
Plus, Pria can tap into the
world’s largest library at Google Scholar. This is like having a personal search concierge at your beckon call anytime, anywhere. As Google gets smarter, so does Pria.
With any scientific question, Pria can query the peer-reviewed literature and return relevant details from research along with appropriate citations. This allows you to tap into 35 million scientific papers without having to spend your entire life reading.
Vector-embedding storage with Pinecone allows Pria to have a real long-term memory, remembering your conversations and growing smarter with time. The more time you spend engaging with Pria, the better she will become at predicting and understanding your needs.
With help from Wolfram Alpha, Pria’s brain is a supercomputer. She can compute answers using Wolfram’s breakthrough technology & knowledgebases, relied on by millions of students & professionals.
Success Stories
Foundational Knowledge in AI Course
At the Governor’s School for Science and Math, Pria used LLM to help students learn the principles they needed to build their own LLMs. Meta, right?
Coding Assistance in Medical Bioinformatics
At Clemson University, Pria assisted medical bioinformatics students conduct research and write code in pursuit of new discoveries in cancer genomics. See “Pria in Action” above.
Research Assistance in BioHackathons
In recent BioHackathons at the Praxis Academy, Pria assisted students, faculty, and researchers test their hypotheses against scientific research.
Prototype Digital Art for Game Design
Pria tapped into her creative side and helped students build colorful backgrounds, sprites, and graphical artifacts for video game design.
Pria in Action
Genes are intervals of DNA scattered across chromosomes. One particularly important gene is BRCA2 – a DNA repair gene in normal cells – increases the risk for breast and ovarian cancer when it is disrupted:
Before you can find gene mutations, you must pinpoint the gene’s address in the genome. Finding the chromosome, start and stop positions for a given gene often requires writing code to parse out these data from huge files. The first step in writing this code, involves finding a specific gene identifier to search for in the coordinate file, and then extracting a gene position from a gene coordinate “GFF3” file.
What is the ENSEMBL ID for BRCA2?
ENSG00000139618
45%–69% of women who inherit a harmful BRCA2 variant will develop breast cancer by 70–80 years of age … and 11%–17% of women who inherit a harmful BRCA2 variant will develop ovarian cancer by 70–80 years of age. (Source: National Cancer Institute)
The next step in our genetic discovery story is to write some parsing code in Python.
Write python code to extract ENSG00000139618 chromosome, start, and stop coordinates from a GFF3 file.
import sys
gff3_file = sys.argv[1]
with open(gff3_file) as gff3:
for line in gff3:
if line.startswith(“#”):
continue
fields = line.rstrip(“\r\n”).split(“\t”)
if fields[2] == “gene”:
attributes = fields[8].split(“;”)
for attribute in attributes:
if attribute.startswith(“ID=gene”):
gene_id = attribute.replace(“ID=gene:”, “”)
if gene_id == “ENSG00000139618”:
print(fields[0], fields[3], fields[4], sep=”\t”)
The final step in our BRCA2 adventure is to make a Python script and run it.
Write a Python script to return the chromosome, start, and stop coordinates for BRAC2.
python parse4.py Homo_sapiens.GRCh38.109.gff3.2
13 32315086 32400268
As a final verification, I manually posted these coordinates in the UCSC Human Genome Browser, and it was the correct position for BRCA2!
Check it out:
Now I have working Python code that will perform a complex bioinformatics task. This code can be adapted for any gene or other feature in the human genome. It’s coffee time!
