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Katja Denefleh

author

6 activities
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Katja Wittfoth

Machine Learning Engineer · San Francisco (visiting)

2 activities
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Katja Kratt

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2 activities
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Activities & events

Title & Speakers Event
Event MLOps.community Berlin - Summer Edition ☀️☀️ 2024-07-25
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

LLM
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.

LLM RAG
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.

AI/ML Data Collection LLM
Event July Members Talk evening with Kraken Technology 2024-07-16
Prompt Engineering: Emerging Techniques from Recent Research Papers 2024-07-16 · 20:30
Katja Wittfoth – Machine Learning Engineer @ San Francisco (visiting)

In this talk, I will explore prompt engineering, a key part of gen AI systems. We will discuss how to create effective prompts, how these methods have evolved, and what are the new finding from the recent research. The main focus will be on text-based prompting techniques such as Few-shot Prompting, Chain of Thought (CoT), and various reasoning and decomposition methods.

prompt engineering few-shot prompting chain of thought
How I use generative AI and ML in my work and side projects 2024-07-16 · 20:00
Jessica Greene – Senior Machine Learning Engineer

In this session, I will share how I have approached learning the foundations of Machine Learning to transition into a role as an ML engineer, despite my non-traditional background. How I use chatgpt and other generative AI tools to assist both at work and on my side projects. The pros and cons I see of using these tools and why I think it's important we take notice of these technologies.

generative ai machine learning chatgpt
Another Bot Story: A Valentine’s Day Gift to My Girlfriend Using Github Copilot Workspace 2024-07-16 · 19:30
Ana Paula Gomes – Senior Software Engineer @ Centre for Artificial Intelligence in Public Health Research at the Robert Koch Institute

Although the background is a love story, this is actually a story about the exciting and challenging aspects of developing a small project with Github Copilot Workspace. At the end of the presentation, we will have a live demo and discuss the role that tools like this can play in the development process and what is left for us to do in a world full of AI products.

github copilot copilot workspace
Showing 6 results