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Activities & events
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Function Calling: Teaching LLMs to use tools and extract structured data
2024-07-25 · 20:15
Katja Wittfoth
– Machine Learning Engineer
@ San Francisco (visiting)
Function Calling: Teaching LLMs to use tools and extract structured data |
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Challenges & lessons learned from implementing RAG systems
2024-07-25 · 19:45
Joanna Stoffregen
– Co-Founder and Head of Product
@ Labsbit.ai
Retrieval-Augmented Generation (RAG) has become a popular method to address this issue, augmenting LLMs with an external knowledge base. However, implementing RAG introduces distinct challenges. In this presentation, Joanna will share practical insights into the challenges encountered while implementing RAG systems, alongside strategies for overcoming them. You'll be equipped with the tools and methodologies needed to navigate these challenges successfully. |
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Taming AI, or how we build the alignment pipeline
2024-07-25 · 19:00
In this presentation, we will explore into the key aspects of aligning Large Language Models (LLMs) and explore how to set up the necessary infrastructure to maintain a versatile alignment pipeline. Specifically, we will cover: Incorporating LLMs into the data collection for supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to maximize efficiency. Techniques for instilling desired behaviors in LLMs with the use of prompt tuning. A cutting-edge workflow management approach, and how it facilitates rapid prototyping of highly-intensive distributed training procedures. This session is tailored for machine learning engineers who are deploying their LLMs and seeking to improve their models. |
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