Product Intensive on Creating
a Business MVP Using
AI Technology
a Business MVP Using
AI Technology
07.12
16.12
AI Talent Camp
2023
Product + LLM
Online intensive for entrepre-neurs, product managers, developers, and machine learning specialists.
About Camp
Enhance your AI application skills with full immersion in real business challenges, surrounded by experts and practitioners from the AI Talent Hub community.
Online intensive for entrepre-neurs, product managers, developers, and machine learning specialists.
Online intensive for entrepreneurs, product managers, developers, and machine learning specialists.
Experts
and Mentors
and Mentors
For Whom?
For anyone looking to gain a deeper understanding of artificial intelligence and how to apply it to everyday business tasks.
workshops
Formats of Work
case lectures
Q&A sessions
networking
consultations with mentors
What will we delve into?
How to formulate queries and interpret LLM responses. The general logic of reasoning with LLM. The impact of Alignment on responses. Comparative review of various LLM capabilities.
Diving into the problem with LLM, setting contexts and goals, identifying cause-and-effect. Formulating and decomposing the task. Practice in verifying the validity and correctness of the model's conclusions in task analysis.
How to increase the accuracy of LLM responses and eliminate hallucinations. Retrieval-augmented generation. Features of retraining LLM on specific domain data. Integration of LLM and knowledge bases.
Conducting a foresight session: identifying trends and generating innovative ideas with LLM. Selecting ideas with LLM based on scoring, refining ideas.
Accelerating the collection of real data about the problem with LLM in MVP development. Analysis of unstructured data (data from chats, social networks). Practice with ChatGPT Advanced Data Analysis.
Preparing problem and solution interviews with LLM. Modeling the target audience and researching its needs with LLM. Formulating and validating product hypotheses with LLM.
Developing a product in the "LLM-as-a-Service" concept with LLM. Exploring best practices for code generation and code review with LLM.
Testing hypotheses in work with both text and images. Vision Language Models. Text-to-Image models. Speech recognition and synthesis. Limitations of multimodal models.
Solving business tasks through cooperation between agents. Multi-agent architecture and frameworks. Practicing dialogue simulations with bots.
Practices of LLMOps in real-world conditions. Economics of projects with LLM. Scaling LLM use in products. Practical aspects of integrating LLM into existing workflows and information systems.
Data confidentiality - how LLM stores and processes data, how to reduce the risk of data leakage. AI Safety: fundamentals of safe design and use of LLM. Ensuring LLM's resilience against attacks.
Does LLM have morality? Creating internal guidelines and policies for LLM usage by employees. Issues of data privacy and responses. Challenges of autonomous decision-making by models, risks of bias and discrimination.
Reviews
- Участие в интенсиве дало мне большой опыт как в продуктовом мышлении и управлении командой, так и в техническом аспекте реализации продукта.Константин ТемплинAI Wolfs
- Несмотря на то, что хакатон было сложно совмещать с работой – оно того стоило! Получать фидбэк от людей из индустрии было невероятным удовольствием. Большое спасибо менторам за то что привили нам продуктовый подход!Александр ЛакизаGoslings
- Эмоции, знакомства, опыт, который я приобрел – это ценный ресурс, который уже приносит свои плоды! За неделю мы посетили более 20-ти встреч с менторами, где вся команда получала бомбический фидбек, который мы применяли и который реально сработал!Святослав Миловидов5random
- AI Talent Hub это круто! Здесь всё пропитано интеллектом, тягой к знаниям и новым свершениям.Дмитрий КарановDYV.AI
The collection of applications is currently closed. We look forward to your participation next time, stay tuned!
Participant
If the payment link does not arrive within 24 hours after submitting the form, check the Spam folder or write to @buddy_aitalenthub
Team
If the payment link does not arrive within 24 hours after submitting the form, check the Spam folder or write to @buddy_aitalenthub
Partner
— Educational Online Community of Machine Learning Specialists.
Organizer
Contacts
info@aitalentcamp.org
