Machine Learning Meetup #2

Get your FREE tickets here: https://talkbase.io/event/machine-learning-meetup-2/productboard

Calling all Large Language Models and Generative AI enthusiasts!🚀

Join us for an informative meetup full of insightful talks, connect with other professionals in the field, and gain insights into the latest trends and best practices.

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You can look forward to an insightful program:

Talk 1: Mastering Summarization Techniques: A Practical Exploration with LLM
Speaker: Martin Neznal, Senior ML Engineer at Productboard

Description: In this talk, I would like to focus on the summarization of collections of feedback and describe all its challenges. I will focus on the state-of-the-art summarization models, such as GPT-3, open source GPT variants, Bart, and other transformers as well as some extractive approaches such as Gensim. I will show how they perform for summarization of different types of text such as conversations, reviews, long & short texts, etc.

I will present what are the industry standard methods for the evaluation of summaries such as ROUGE, BLEU, BLANC, BERTscore, or Supert, and use them to evaluate the summarization models. I will show how we use these approaches in Productboard to automatically and without supervision evaluate the quality of thousands of summaries daily.

I will talk about techniques to apply to summarization models to achieve significantly better summaries such as for example fine-tuning, ways how to query GPT models, text cleaning, etc.

I will also focus on multi-document summarization and describe what are the state-of-the-art models for this task, how to evaluate the multi-document summary, and which techniques we use to preprocess the input documents when we need to summarize a collection comprising hundreds or thousands of texts into one paragraph (such as clustering, text relevancy or pre-summarization of single documents)

In the last section of my talk, I will share our experience of implementing the summarization feature in Productboard, how we incorporate the user feedback into our summarization pipeline, how we connect summaries with other ML features and also which tech stack we use, and how we scale it to deploy an independent solution for thousands of companies (each with thousands of text/feedback).

Talk 2: Project deep dive: AI human augmentation for call centers
Speaker: Vojtěch Kurfürst, Consultant - Data & AI at Accenture

Description:
I'll be talking about a project which I am currently part of. In essence, we're trying to address some of the issues of our customer's call center by redesigning the whole process and introducing all the new tech from the AI space:
🔹 Speech services for language transcription, translation, and synthesis.
🔹 NLU for intent detection
🔹 Sentiment analysis for.. well sentiment analysis
🔹 GPT for semantic search, summarization and answer generation

Can a call center be fully automated? In this talk, I'll show you how we're approaching this project, share the main challenges and findings, and maybe even answer this question.

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In addition to great talks and people, you can look forward to refreshments and beer on tap 🍻

The talks will be live-streamed, and the recordings will be available online after the event.

We are looking forward to seeing you soon! 🙌

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Get your FREE tickets here: https://talkbase.io/event/machine-learning-meetup-2/productboard