FREE WEBINAR
Innovate and Scale: Using Large Language Models to Grow Your Business
Date: the 26th of September
Time: 5pm, GMT+3
Join us for a webinar to explore how large language models (LLMs) can drive growth in your business. We will cover practical applications, such as documentation management in healthcare, improving customer service in ecommerce, ensuring compliance and detecting fraud in finance, and streamlining legal document review in the legal sector.
Webinar highlights:
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Expert Insight: Learn from Volodymyr Sokhatskyi, an experienced ML Engineer at SciForce, specializing in NLP, Recommender Systems, and more.
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Real-World Case Studies: Explore practical applications of LLMs across healthcare, ecommerce, finance, legal, and other sectors.
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Interactive Q&A: Engage with our expert during a live Q&A session.
Key advantages of LLM integration:
Routine Task Automation
LLMs can automate tasks like data entry in finance, appointment scheduling in healthcare, responding to customer inquiries in ecommerce, and legal document review, allowing employees to focus on more strategic activities.
Enhanced Data Processing
LLMs swiftly process and analyze large datasets, such as patient records in healthcare, transaction data in finance, customer behavior data in ecommerce, and case law in legal, providing valuable insights for more informed decision-making.
High-Quality Content Generation
LLMs create high-quality content for various needs, such as generating marketing copy, drafting customer support responses, writing detailed product descriptions, and producing technical documentation, ensuring consistency and saving time.
Improved Customer Interaction
LLMs enhance customer service by powering chatbots and virtual assistants that can handle customer inquiries, process orders, provide product recommendations, and resolve issues quickly and accurately.
Industry insights:
Use Cases for Large Language Models
LLMs provide powerful tools for transforming workflows, enhancing efficiency, and driving innovation across various industries. From automating routine tasks to improving data analysis and customer interactions, LLMs offer specific solutions tailored to the unique needs of each sector:
Healthcare
Data science engineers integrate large language models into healthcare chatbots to improve various aspects of healthcare management. These models streamline appointment scheduling, manage patient flow, and share information about services.
LLMs automate documentation processes, making it easier to create and manage medical records, and facilitate quick access to patient histories and previous treatments. Additionally, they provide instant responses to medical inquiries and guide patients through treatment plans and procedures.
Ecommerce
Ecommerce and retail companies are increasingly adopting LLMs to enhance the customer journey. These models are typically integrated into chatbots to provide instant customer support and personalized shopping experiences. LLMs offer shopping guidance by helping customers find products based on their preferences and needs.
They generate detailed and accurate product descriptions, ensuring customers have all the information they need to make informed purchasing decisions. Additionally, LLMs provide tailored recommendations by analyzing customer behavior and preferences, boosting engagement and satisfaction.
Finance
LLMs offer significant benefits in the finance industry, enhancing daily operations. They ensure regulatory compliance by automatically monitoring and analyzing transactions to detect irregularities or breaches. By recognizing unusual patterns and behaviors in financial data, LLMs help identify fraudulent activities, protecting organizations from potential threats.
Additionally, LLMs provide financial advisory services by analyzing market trends, offering investment insights, and generating personalized financial plans for clients. These capabilities make LLMs essential for improving both efficiency and security in financial operations.
Legal
LLMs can significantly enhance legal operations by integrating them into websites or apps for efficient legal document processing. They can review legal documents, identifying key information and potential issues, thereby saving time and reducing errors. LLMs classify contracts by type and content, streamlining document management and retrieval.
They also assist with legal compliance by analyzing documents to ensure they meet regulatory standards and flagging any non-compliant clauses. These applications provide valuable information quickly and accurately, improving the efficiency and reliability of legal services.
Meet our speaker
Volodymyr Sokhatskyi
NLP Solutions Architect and Data Scientist at SciForce
Volodymyr Sokhatskyi is a skilled NLP Solutions Architect with six years of experience at SciForce. He has worked on a variety of projects, including creating models for text analysis, developing systems to recommend products to users, and designing advanced methods for processing images and videos
He is also known for his strong coding skills, which have been essential in building reliable and scalable solutions.
Webinar agenda
01.
What are Large Language Models and what are the emerging trends for LLMs?
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What is the difference between Large Language Models and Generative AI?
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What are the main benefits of integrating LLMs?
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How can routine tasks be delegated to LLMs, and why do companies implement them?
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How to integrate LLMs: A step-by-step guide
06.
What are the challenges of using large language models and how can they be avoided?
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How do LLMs work in practice across diverse industries?
08.
Live Q&A session
