Sökning: "large language models LLMs"
Visar resultat 1 - 5 av 25 uppsatser innehållade orden large language models LLMs.
1. Where to Fuse
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This thesis investigates fusion techniques in multimodal transformer models, focusing on enhancing the capabilities of large language models in understanding not just text, but also other modalities like images, audio, and sensor data. The study compares late fusion (concatenating modality tokens after separate encoding) and early fusion (concatenating before encoding) techniques, examining their respective advantages and disadvantages. LÄS MER
2. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models
Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystemSammanfattning : This thesis explores text-to-SQL generation using Large Language Models within a financial context, aiming to assess the efficacy of current benchmarks and techniques. The central investigation revolves around the accuracy of the BIRD-Bench benchmark and the applicability of text-to-SQL models in real-world scenarios. LÄS MER
3. Leveraging Large Language Models for Firm-Intelligence: A RAG Framework Approach
Magister-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : In the wake of OpenAI's release of ChatGPT in November 2022, powered by the 175 billion parameter neural network GPT-3, the potential applications of Large Language Models (LLMs) in various sectors have become evident. One such application lies in hedge funds and trading desks where knowledge sharing is paramount. LÄS MER
4. Thinking Outside the Box Inside the Chat Box - The Impact of Large Language Models on Innovation
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : Innovation is a key driver in the pursuit of development for both organizations and society. The development of large language models (LLMs) is disrupting industries and redefining various tasks traditionally performed by humans, including how innovation could be conducted. LÄS MER
5. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Miljö- och energisystemSammanfattning : This study investigates the potential of large language models (LLMs), such as ChatGPT, to aid venture capitalists in the screening of startups that maximize sustainability impact. To determine the scope that maximizes impact for venture capitalists' and to identify effective screening criteria, the study utilized theoretical research and interviews. LÄS MER
