LLM in Practice: Exploring Real-World Implementations

🛑 Please Confirm your registration HERE (RSVP is not enough!)

📅 Date: Monday, April 7, 2024
📍 Location: Tikal Offices, 6 Kremenetski St, 1st Floor, Tel Aviv

Many are eager to jump on the LLM bandwagon, but what are the tangible benefits? In this webinar, we will showcase successful use cases of LLM, demonstrating how this technology can be effectively implemented in various real-world scenarios. Join us to gain insights from our experts at Tikal on practical applications and learn from their experiences in deploying LLMs.

On the Agenda:

18:00 - 18:30 Networking & Refreshments 🍕🍺

18:30-19:00: Is LLM Truly Worth It? & Design Patterns with LLM // Chaim Turkel, Group Lead, Data & LLM Architect
Many are eager to jump on the LLM bandwagon, but is it truly worth it? In this talk, we will explore the hype versus reality of LLMs, examining the benefits and drawbacks of this technology. Gain insights into the practical implications of implementing LLMs in real-world applications and understand the critical factors to consider before diving in. Chaim will also share recurring patterns in LLM applications across different companies. We'll discuss the ingestion of data enrichment and the use of the command pattern in LLM chat applications, providing valuable design patterns to implement in your projects.

19:00-19:30: Evaluation Strategies for Large Language Models in Production // Shani Cohen, Senior Backend & Data Developer at Tikal
While the operational requirements for creating LLM applications are similar to those of typical machine learning, there are unique challenges with evaluating LLMs that require a distinct approach. This talk will provide an overview of a use case demonstrating the required updates needed for your ML team to evaluate LLM in production successfully.

19:30-20:00: GraphRAG - Knowledge Graph & LLM// Mor Dvash, Backend Engineer at Tikal
In this talk, we will delve into the integration of Knowledge Graphs and LLMs through our GraphRAG system. By leveraging the context provided by Knowledge Graphs, GraphRAG significantly improves the accuracy and relevance of responses generated by LLMs. Mor will present a practical use case demonstrating the implementation by his team and the benefits it has brought to the product.

In order to save a spot, please register also here>> https://tkl.to/tikal-form-7-4-25
Let’s tech!