Essays about: "Artificial training data"
Showing result 1 - 5 of 254 essays containing the words Artificial training data.
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1. "The Uphill AI Contract Challenge The Intra-Active Task: Reimagining Contracts"
University essay from Göteborgs universitet/Juridiska institutionenAbstract : The traditional contract theories are insufficient to handle the challenges Artificial Intelligence (AI) is currently causing and will continue to cause to contract law. These challenges involve problems concerning the subject/object divide, agency, the embedding of legal code into interactive programming code, and ethical aspects concerning the transfer of power away from lawyers. READ MORE
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2. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. READ MORE
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3. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. READ MORE
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4. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE
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5. Leveraging Large Language Models for Firm-Intelligence: A RAG Framework Approach
University essay from Lunds universitet/Statistiska institutionenAbstract : 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. READ MORE