Sökning: "Miguel Good"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden Miguel Good.
1. Large language models as an interface to interact with API tools in natural language
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : In this research project, we aim to explore the use of Large Language Models (LLMs) as an interface to interact with API tools in natural language. Bubeck et al. [1] shed some light on how LLMs could be used to interact with API tools. LÄS MER
2. High-Redshift Gamma-ray Bursts as seen by SVOM/ECLAIRs
Master-uppsats, Luleå tekniska universitet/RymdteknikSammanfattning : Gamma Ray Burst (GRB) are very bright cosmological explosions signalling the catastrophic formation of a black hole. Therefore, they act like real light beacons that could be detected through-out the Universe and be used as probes to study the contents and phases of the early Universe. However, only a handful sample is known so far. LÄS MER
3. Assessment Based on Indicators of the Sustainable Development Goals in Spain : A Data Science Approach
Master-uppsats, KTH/Maskinkonstruktion (Inst.)Sammanfattning : The global sustainable development has been marked by the United Nations plans for more than two decades. These plans have been adopted by most of the developed and developing countries to achieve the 2030 Agenda, currently formed by the 17 Sustainable Development Goals. LÄS MER
4. Understanding ecological tourism by different local business stakeholders: a case study of Sao Miguel.
Magister-uppsats, Uppsala universitet/Industriell teknikSammanfattning : Tourism represents 10.3% of the global GDP. Moving abroad for holidays has never been simpler and cheaper. Destinations answer tourist's demands, they build more hotel complex, create new fun activities, provide more resources. LÄS MER
5. Fast visual grounding in interaction
Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriSammanfattning : A big challenge for the development situated agents is that they need to be capable of grounding real objects of their enviroment to representations with semantic meaning, so they can be comunicated to human agents using the human language. de Graaf (2016) developed the KILLE framework, which is a static camerabased robot capable of learning objects and spatial relations from very few samples using image processing algorithms suitable for learning from few samples. LÄS MER