// LLM TRAINING
Large Language Models in Search Training
Elevate your search project with our training on “How Large Language Models Can Improve Your Search Project.” Explore the transformative impact of cutting-edge language models, gaining insights into optimizing queries and refining search results. Unleash the full potential of your project as we guide you through the intricacies of leveraging large language models for enhanced search functionality.
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
£ 100,00
This course is a one-time offering and will not be available in public classroom settings in the future.
SCHEDULE
30th January 2024
3:00 – 7:00 PM GMT
- 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
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 don’t assume any previous knowledge of large language models.
- A laptop is recommended but not required
WHAT YOU WILL LEARN
• Assess criteria like performance metrics and domain-specific needs to choose the optimal LLM for specific applications.
• Learn techniques to seamlessly integrate LLMs with popular search engines, enhancing search efficiency and relevance.
• Identify common pitfalls in LLM integration and gain insights into future trends and directions in the evolving landscape.
INTENDED AUDIENCE
• Technical Managers
• Data scientists
• Software Engineers
• Developers
• Machine Learning passionates
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 Program
1. Introduction to 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 of LLMs, uncovering key repositories, resources, and communities driving innovation in this domain.
What does it mean for a Large Language Model to be open? This section answers with a deep analysis, comparisons and examples.
3. 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.
4. Open Source Frameworks and Projects for LLMs
Explore diverse Open Source frameworks and projects designed to facilitate interactions with LLMs: LangChain, Haystack, LangStream and more!
Engage in hands-on exercises, such as using LangChain, to identify elements in a taxonomy, and gain practical experience in leveraging these frameworks to enhance LLM functionalities.
* exercise with LangChain to identify elements in a taxonomy
5. Integrating LLMs into Search (Query expansion, Query building, Results presentation ...)
Uncover various strategies and methodologies for integrating LLMs into search functionalities: RAG (Retrieval Augmented Generation), query and document expansion, neural (vector-based) search and more! Explore innovative approaches to optimize search relevance, efficiency, and user experience through seamless LLM integration.
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. Participate in practical exercises, including working with Retrieval Augmented Generation and Apache Solr, to deepen understanding and enhance integration capabilities.
* exercise with Retrieval Augmented Generation and Apache Solr
7. Rabbit Holes: Not measuring KPIs, choosing the wrong technology, choosing the wrong LLM
“My search engine has definitely improved after the introduction of LLMs! Take a look to these 4-5 cherry-picked queries that work exceptionally well!” (while other 5000 are broken).
“We were using technology X already in the company, we didn’t have time for further analysis, I am sure it’s going to work all right.” (spoiler alert: it won’t!).
“Model Y is so popular that will work perfectly for our use case without further study!”(it won’t).
This section explores classic mistakes in adopting LLMs in search and how to avoid them.
8. Future Works
Explore upcoming trends and innovations in Large Language Models for search, gaining insights into future research directions and transformative technologies on the horizon. Stay informed and inspired to navigate the evolving landscape of LLMs effectively.
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 ‘Large Language Models in Search’ 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!