// LLM TRAINING
AI-powered Search Manager with Large Language Models (LLMs)
Elevate your search project with our training on how AI and Large Language Models can improve your search project. Explore the transformative impact of cutting-edge language models, gaining insights into your project architectural impact, integrations, team composition, project management and search quality evaluation. Unleash the full potential of your project as we guide you through the intricacies of leveraging large language models for enhanced search functionality.
This training is intended for project managers, product owners and team leaders.
Private
ask for quote
If you are looking for intensive sessions tailored to your (or your team’s) experience, then private training is your perfect choice!
- In presence or Online
- Tailored Training
- Top Expert Trainers
- Certificate of Attendance
Recorded
coming soon
If you are not able to attend public training, this is the best option for you. You will be able to take the course at your own pace and rhythm and learn whenever it fits your schedule and mood.
- Top expert trainers
- Q&A by e-mail
- Certificate of Attendance
Public classroom
£ 150,00
This course is a one-time offering and will not be available in public classroom settings in the future.
SCHEDULE
9th April 2024
3:00 – 7:00 PM GMT+1
- Live on Zoom
- Top expert trainers
- Certificate of Attendance
Private
ask for quote
If you are looking for intensive sessions tailored to your (or your team’s) experience, then private training is your perfect choice!
- In presence or Online
- Tailored Training
- Top Expert Trainers
- Certificate of Attendance
Based on experience with leading companies including
Based on experience with leading companies including
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PREREQUISITES
• The training is beginner-friendly and doesn’t assume any previous knowledge of large language models and AI
• The training assumes familiarity with search projects and search products
WHAT YOU WILL LEARN
• How search project management and team composition changes in the era of AI and LLMs
• Learn techniques to integrate LLMs with popular search engines, enhancing search efficiency, relevance and bringing new functionalities.
• Identify common pitfalls in LLM integration and gain insights into future trends and directions in the evolving landscape.
• How to approach search quality evaluation for your project and leverage AI and LLMs in the process
INTENDED AUDIENCE
• Product Owners
• Project Managers
• Technical Managers
• Team Leaders
Your Trainer
Alessandro Benedetti
APACHE LUCENE/SOLR COMMITTER
APACHE SOLR PMC MEMBER
Alessandro has been involved in designing and developing search-relevant solutions from 2010.
Over the years he has worked on various projects, with various open source technologies aiming to build search solutions able to satisfy the user information needs, often integrating such solutions with machine learning and artificial intelligence technologies.
The schedule
The training session is meticulously structured for optimal comprehension and retention.
It commences with a comprehensive 1-hour theory session, followed by a brief 15-minute test to assess understanding. Subsequently, participants engage in a 45-minute Q&A segment, fostering interactive learning and clarification of concepts. The training then resumes with another 1-hour theory module, another 15-minute evaluation test, and concludes with a final 45-minute Q&A session to consolidate knowledge and address any remaining queries.
3:00-4:00 theory session
4:00-4:15 test
4:15-5:00 Q&A segment
5:00-6:00 theory session
6:00-6:15 test
6:15-7:00 Q&A segment
The Topics
1. INTRODUCTION TO AI and LARGE LANGUAGE MODELS (LLM)
Dive into the foundational concepts of Large Language Models (LLMs), exploring their significance, capabilities, and applications in the modern digital landscape. Gain insights into the evolution, features, and potential of LLMs, setting the stage for a deeper exploration of their functionalities.
2. THE OPEN SOURCE LANDSCAPE (AND REPOSITORIES) FOR LLMS
Navigate the expansive Open Source ecosystem tailored for LLMs, uncovering key repositories, resources, and communities driving innovation in this domain. Discover a wealth of tools, libraries, and collaborative platforms that empower developers and researchers in harnessing the power of LLMs.
3. INTEGRATING LLMS INTO SEARCH (Retrieval Augmented Generation RAG, Neural/Vector Based Searc, Query/Document expansion)
Uncover various strategies and methodologies for integrating LLMs into search functionalities, from query expansion and building to results presentation. Explore innovative approaches to optimize search relevance, efficiency, and user experience through seamless LLM integration.
4. The Importance of Search Quality Evaluation and how it changes with AI/ LLMs
We’ve been advocating the importance of Search Quality Evaluation for years but the practical adoption of offline and online evaluation has been limited in the industry. Will the situation change with AI techniques and LLM?
In this section, we dive into approaches and new possibilities.
5. SELECTING THE BEST LLM FOR YOUR USE CASE
Delve into the strategic process of identifying and selecting the most suitable LLM for specific applications. Learn to assess performance metrics, model architectures, and domain-specific requirements, ensuring alignment with organizational or project objectives.
6. POPULAR OPEN SOURCE / SOURCE AVAILABLE SEARCH ENGINES AND HOW THEY INTEGRATE WITH LLMS
Examine the integration of LLMs with renowned Open Source Search engines like Apache Lucene/Solr, Elasticsearch, OpenSearch, and Vespa.
7. RABBIT HOLES: NOT MEASURING KPIS, CHOOSING THE WRONG TECHNOLOGY, CHOOSING THE WRONG LLM
FAQ
The training session is conducted online via Zoom for live participation. However, for those who may not be able to attend in real-time or prefer to learn at their own pace, we are working on a recorded version. This allows participants to access the content online and review it at their convenience.
Absolutely! Everyone is welcome to participate in this training.
The ‘AI-powered Search Manager with Large Language Models (LLMs)’ training session has a duration of 4 hours.
Yes, absolutely! You will have the opportunity to ask any questions at the end of the training.
Your teacher will be:
– Alessandro Benedetti, Apache Lucene/Solr committer and Apache Solr PMC member.
Yes, indeed! At the conclusion of the training, you will receive a certificate of attendance via email.
If you need it, you can consult our Training’s Terms and Conditions.
Yes, we do offer corporate training sessions. Feel free to reach out to us, and we’ll be happy to discuss the best options tailored for you and your team!