Monthly Meetup | May 8
May
08
Wednesday
6PM to 9PM CEST
Main Stage Speakers
Constantin Dißelkamp
founder at pagent.ai
Semanticards
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Practical vector similarity using small 80mb sentence models.
Sentence Transformers
Embeddings
Vector similarity
Semantic search
Phil Jund
Founding Software Engineer at fore ai
How to choose between prompting GPT4 and fine-tuning for LLM Evaluation
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Practical data on prompting vs. fine-tuning for LLM metrics.
GPT-4
Prompting
Fine-tuning
Groundedness metric
LLM
Luca Beurer-Kellner
Chief Technical Officer at ETH Zürich / Invariant Labs
Trustworthy and Secure Agents
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Fine-grained security control enables safe LLM agent deployment.
LLM
Florian Cäsar
Founder at Symbol Industries
Bench
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Pragmatic agent development: unifying state, schemas, and UIs.
Object-Relational Mapping
Dominik Scherm
Founder at Simulatrex.ai
Simulate your customer base
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Deploying custom fine-tuned LLMs to simulate customer bases.
Mistral
LLaMA
Angelo giacco
ai tinkerer at MoonAI
MoonAI - helping VCs with AI agents
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Code and architecture difficulties building specialized LLM agents.
No tech stack listed.
Robert Lukoshka
CEO at Stormy AI
1nterface ai
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Technical AI tool for laptop context collection explained.
No tech stack listed.
Anirudhh Ramesh
Student MSc CS @ ETHZ at Building tech stuff (consumer AI) - Ambitious x Driven - ETH Zurich
Automating my newsletter from podcasts to blogs (or creating Agentic workflows or Elon Musk Clone)
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Demoing content automation and critical LLM system design lessons.
GPT-4
Claude-3
AI Agents
Reid:AI
Elon Musk clone
Václav Volhejn
Senior Applied ML Scientist at Lakera
Hotdogs: a game about drawing weird dogs
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Designing fun, viral AI games using classifiers and embeddings.
Image classifier
Image embeddings
AI
Jerome Pieper
Data Science Consultant at learning culture zürich
AI Math tutor - a GPT based maths guide for swiss middle schoolers
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Building interactive LLM tools: memory, state, and response control.
GPT
Angelina Parfenova
ML Researcher at HSLU, TUM
Extracting Meanings from Qualitative Data using LLMs
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Fine-tuning LLMs for subjective qualitative meaning extraction and bias.
Large Language Models
Topic Modeling
Semantic Analysis
Word Cloud
Natural Language Processing