When assessing applications for funding, several key factors are taken into consideration. These include the experience of the founding team, the specific market being targeted, the level of development of the product, the presence of evidence showing traction in the market, the skills and expertise of the team members, and the range of generative AI skills that are present, such as machine learning engineers and data scientists.
Of particular interest to the evaluators are applicants who are involved in activities such as fine-tuning open source models, pre-training core models, or providing essential services in the evolving generative AI technology stack that surrounds core models with tasks like data preparation, model monitoring, and infrastructure provisioning.
Overall, the evaluation process aims to identify promising projects that have the potential to make a significant impact in the field of generative AI. By considering a range of factors and looking for specific qualities in applicants, the goal is to support innovative projects that can help drive advancements in this rapidly growing area of technology.
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https://aws.amazon.com/startups/accelerators/generative-ai
