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UID:115@conferencelists.com
DTSTART:20251125T000000Z
DTEND:20251128T000000Z
DTSTAMP:20260104T140843Z
URL:https://www.conferencelists.com/conference/fllm2025-the-3rd-internatio
 nal-conference-on-foundation-and-large-language-models/
SUMMARY:FLLM2025: The 3rd International Conference on Foundation and Large 
 Language Models
DESCRIPTION:With the emergence of foundation models (FMs) and Large Languag
 e Models (LLMs) that are trained on large amounts of data at scale and ada
 ptable to a wide range of downstream applications\, Artificial intelligenc
 e is experiencing a paradigm revolution. BERT\, T5\, ChatGPT\, GPT-4\, Fal
 con 180B\, Codex\, DALL-E\, Whisper\, and CLIP are now the foundation for 
 new applications ranging from computer vision to protein sequence study an
 d from speech recognition to coding. Earlier models had a reputation of st
 arting from scratch with each new challenge. The capacity to experiment wi
 th\, examine\, and comprehend the capabilities and potentials of next-gene
 ration FMs is critical to undertaking this research and guiding its path. 
 Nevertheless\, these models are currently inaccessible as the resources re
 quired to train these models are highly concentrated in industry\, and eve
 n the assets (data\, code) required to replicate their training are freque
 ntly not released due to their demand in the real-time industry. At the mo
 ment\, mostly large tech companies such as OpenAI\, Google\, Facebook\, an
 d Baidu can afford to construct FMs and LLMS. Despite the expected widely 
 publicized use of FMs and LLMS\, we still lack a comprehensive knowledge o
 f how they operate\, why they underperform\, and what they are even capabl
 e of because of their emerging global qualities. To deal with these proble
 ms\, we believe that much critical research on FMs and LLMS would necessit
 ate extensive multidisciplinary collaboration\, given their essentially so
 cial and technical structure.\n\nThe event welcomes contributions on a wid
 e range of themes\, including but not limited to: large language models (l
 lms)\, natural language processing (nlp)\, generative ai (genai) and compu
 tational language modeling (clm).
CATEGORIES:Science, Technology, Engineering, and Mathematics
LOCATION:Austria\, \, 
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 TLE=Austria:geo:0,0
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