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UID:pretalx-ai-heroes-2024-EUYHTE@papers.synesthesia.it
DTSTART;TZID=CET:20241211T113000
DTEND;TZID=CET:20241211T121000
DESCRIPTION:Spindox has been developing its Gen. AI framework\, named Atlan
 te\, for over 2 years. Atlante integrates key open-source libraries like L
 angChain\, Llama-Index\, and LangGraph\, among others. Furthermore\, it em
 ploys best-of-breed LLMs – both commercial and open-source ones – and 
 relies on advanced strategies for chunking\, RLHF and multi-agent componen
 ts (i.e. agentic pattern). It is designed for supporting in a range of app
 lications spanning from math-optimization algorithms development to no-cod
 e simulation models building\, from support in the whole software life-cyc
 le to advanced RAG. Its modular\, cloud-agnostic architecture ensures flex
 ibility and cost-effectiveness. Enhanced by caching and knowledge graphs\,
  Atlante optimizes processing\, reduces costs\, and improves accuracy. It 
 is widely adopted across industries for various applications\, from AITSM 
 to coding\, test automation and marketing documents generation. One of the
  hands-on deep-dives will be the application to automatic math-optimizatio
 n solution algorithms development\, which was recognized the first price a
 t ICML 2024 – Challenges on Automated Math Reasoning.\nhttps://www.codab
 ench.org/competitions/2438/\nhttps://medium.com/@alessandropinzuti
DTSTAMP:20241209T105219Z
LOCATION:Auditorium
SUMMARY:How LLMs can help sw development\, math-modeling and forecasting - 
 Tommaso Colombo\, Alessandro Pinzuti\, Nicolò Mazzi
URL:https://papers.synesthesia.it/ai-heroes-2024/talk/EUYHTE/
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