This is an introductory course that showcases the opportunities that LLM Applications can bring to a startup.

It doesn’t delve into technical content and is aimed at both business and tech entrepreneurs who are considering the possibility of introducing LLM Applications into their startup.

If you’re seeking a technical program to learn how to craft LLM Applications for your startup, we recommend enrolling in our Bootcamp instead of this.

LLM Applications: How to harness Generative Artificial Intelligence to increase revenue and cut costs in your startup.

LLM Applications are revolutionizing industries such as banking, healthcare, insurance, education, legal, tourism, construction, logistics, marketing, sales, customer service, and even public administration. This isn’t science fiction; there are already LLM Applications performing tasks like:

– Improving the efficiency of surgeons.
– Public service in banks.
– Tutoring for students.
– Legal recommendations.
– Stock market analysis.
– Delivering physiotherapy sessions.
– Finding new clients.
– Handling immigration tasks.
– Audits.
– Managing contracts with Public Administration.
– Overseeing construction projects.
– Organizing events.
– Managing unpaid bills.
– Answering (yes, actually responding) surveys.
– Producing news.
– Negotiating sales contracts.
– Valuing a company.
– Taking meeting notes.

Challenges of LLM Applications in the business realm.

While LLM Applications can accomplish remarkable feats, their use in business presents challenges that need to be considered upfront:

– Token use and costs.
– Context Window limitations.
– Protecting private data.
– Misalignment: unwanted content.
– Security concerns: injections, leaks, jailbreaking.
– Inference latency (speed vs. cost).
– Multiple data sources.
– Open Source models.
– The issue of non-reproducibility.
– Hallucinations.
– The problem with outdated data.
– A distinct form of evaluation.
– Prompts.

Program Objective.

The aim of this program is for students to understand what LLM Applications are and what they can accomplish in their startup. Accordingly, they will have access to:

– Theoretical content (see details below).
– Real-world use cases.
– Expert guidance.

Prerequisites.

None. This course doesn’t include technical content.

Program Content.

– Business opportunities.
– Real cases of 100 startups that have earned over $500,000 before their first year.
– Entry barriers.
– Startup team composition.
– Investment.
– LLM Applications in the startup: important issues to consider.
– Introduction to Generative Artificial Intelligence.
– Introduction to large language models.
– Intro to LLM applications.
– Types of LLM applications.
– The team required to design and handle an LLM application.
– Options when lacking a dedicated technical team.
– Basic LLM Application architecture.
– Advanced LLM Application structure.
– LLM Ops.
– Principles of Responsible AI.
– Cost management.
– What can LLM Applications do for your business? Case studies.

Location and Duration of the Program.

– Multiple locations across United States.
– Various formats: part-time, full-time, in-person, and online.
– For sizable businesses, there’s an in-company training option available.
– We have collaborative arrangements with Business Schools, Universities, Training Centers, Business Accelerators, and Local Development Agencies.

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