Conf42 Large Language Models (LLMs) 2026

Online June 18, 2026

https://www.conf42.com/llms2026
Tags: Tokenization, Context, Inference, Alignment, Prompting, Embeddings, Reasoning, Fine-tuning, Latency, Hallucination

CFP closes at  May 18, 2026 19:55 UTC
  (Local)

Quality over quantity

We care more about original, thoughtful content than just filling slots.
If you have something genuinely useful or interesting to share, we’d love to have you as a speaker.


Sales pitches

It’s totally fine to highlight your product, framework, or service.
But straight-up sales pitches—especially reused ones—won’t make the cut.


Inclusivity

We welcome speakers from every background and experience level.
If you’d like to speak but need support or accommodations, let us know. We’ll do what we can to help.


Be nice!

We won’t publish anything offensive or disrespectful.
We’re here to learn, share, and have fun, let’s keep it that way.

CFP Description

Conf42 Large Language Models (LLMs) 2026


First things first, please watch the CFP tips and tricks video - 5 minutes. It will increase your chances of having your talk accepted.


Let’s talk about what’s really happening with large language models.

If you spend your days fine-tuning models, building chatbots, working with embeddings, or trying to make LLMs useful (and reliable) in production, this event’s for you.

We’ll dig into what’s working (and what’s not) in the world of LLMs:

  • Fine-tuning, prompt engineering, and retrieval-augmented generation
  • Building real-world applications powered by LLMs
  • Managing cost, latency, and scalability for inference
  • Evaluating model performance and dealing with hallucinations
  • Open-source models, frameworks, and deployment strategies
  • Privacy, security, and responsible AI practices
  • Lessons learned from integrating LLMs into existing systems

Come hang out with people who build, break, and experiment with language models every day. Share what you’ve learned and pick up a few ideas to make your next model more capable and reliable.

For any questions and suggestions, please join our Discord server!

Hope to see you there,
Mark

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