Apr
4
Beyond the Hype: How is iProgrammer Using LLM to Drive Change
The world of Artificial Intelligence is undergoing a paradigm shift with the rise of Generative AI (Gen AI). This bit of technology gives the world access to build specialized tools and ML models, furthering automation to the max.
One of the most intuitive models is the Large Language Model, or LLM! This interactive technology allows machines to create entirely new content & automate document management from realistic images, music and long PDFs to compelling text formats!
It’s a wonder seeing a single concept taking over important functions of traditional markets. Did you know that 58% of companies are already experimenting with LLMs to gain specific insights & learn adaptability? (Springs)
At iProgrammer, we’re not just watching this revolution unfold; we’re actively contributing to it.
Our team possesses the perfect blend of technical expertise and innovative spirit to leverage LLMs to help businesses reach new levels of technological integration.
As technological pioneers, we want to push boundaries constantly with our integrated solutions. With a team of visionary developers, we wish to shape the future of this transformative technology.
Foreseeing this potential of custom LLMs, we became the bridge between cutting-edge tech and practical applications. We leveraged our unique blend of technical and industry expertise to create intuitive LLMs for our client brands.
This project opened a myriad of doors for our team to be continuously iterative while making the coolest of software across industries.
Take a look.
As a primary example, we’re crafting a PDF management & reader tool- an LLM to transform interactions with long-form PDFs.
Imagine a platform that allows companies too:
- 1. Effortlessly extract text and data from PDFs with unmatched accuracy, eliminating tedious manual work.
- 2. Generate human-quality summaries of complex documents, saving you valuable time.
- 3. Automatically translate PDFs into multiple languages, fostering global communication.
- 4. Create new, editable documents from existing PDFs, streamlining workflows.
This platform would severely benefit major industries, owing to its core functionalities. Here’s how:
This document reader would allow financial analysis companies to extract numerical data from a myriad of accounting documents like reports, invoices and statements with accuracy.
With this, it can also generate brief summaries of important files like investment proposals or loan applications, saving time and resources.
In industries that are heavily based around documentation & reviews, this platform would be as beneficial as the day is long. Here’s how:
- – Law firms would be able to effortlessly pull out any data or key information from long-form PDFs.
- – Generating brief summaries would become just a one tap solution with this innovative platform.
- – Translating to multiple languages would be possible to allow for seamless international collaborations.
Research institutes and companies would be able to work on their projects and research-based study quite freely with this tool. They’ll be able to convert scanned texts into editable PDFs, allowing easy operations.
At the same time, this would be useful for the writing of research papers & analysis documents, facilitating a smooth and cost-efficient process.
Say hello to intelligent agreement viewing!
This tech would allow the rental industry to scheme through long agreements without any effort. Soon, historical records or even local regulations can turn into editable formats for increased accessibility, causing fewer bureaucratic hurdles.
With constant upgradations in technologies, the way people get hired as top talent is about to change. Here, at iProgrammer, we’re giving you a small glimpse of the future.
Here comes- Hiring with LLMs: Applicant Tracking Systems (ATS)
This platform goes beyond automation and is a perfect intelligent talent acquisition partner. Here’s what sets it apart:
- 1. AI-based Screening: Imagine being able to screen through 1000s of resumes within seconds. Unbelievable, right? ATS systems primarily train machine learning models to gain a talent pool according to the company’s requirements.
- 2. Skill Assessment: These systems would be able to utilize interactive simulations to evaluate a potential candidate’s problem-solving, communication & critical thinking skills.
- 3. Personalized Offer Letter Generations: HR professionals would be able to generate tailored offer letters based on the chosen candidates’ data, highly reducing the administrative burden.
By utilizing the potential of LLMs, we aim to bring upon a new era of PDF interactions across industries, resulting in automation & optimization.
While all of this is still under development, the future is still generative.
iProgrammer as Your Innovator.
The future is exciting, and at iProgrammer, we’re excited to be your guide throughout the process. We translate these advancements into actionable strategies to create next-gen tools for maximum impact, leveraging over 50+ leading technologies like Java, Flutter, Node.js, Bard, GPT and more!
Don’t just read about the future, prepare for it with our experts today!