Zero-shot models are helpful for prototyping machine learning projects because they generally do not need additional training to operate. CLIP, a popular model from OpenAI, does particularly well.
Zero-shot models are helpful for prototyping machine learning projects because they generally do not need additional training to operate. CLIP, a popular model from OpenAI, does particularly well.
Artificial intelligence (AI), while playing an increasingly important role in energy trading, and allowing for more efficient and accurate decision-making, has its limitations, such as a lack of context or a propensity for errors related to imperfect input data. As a result, the role of energy trading experts who have the expertise and skills to interpret and correctly use the data is important. In this article, we will discuss the potential of AI to revolutionize the energy trading industry.
Projects that use AI may demand considerable financial means. Luckily, there are various financing pathways, including European funds for R&D projects. FENG (Fundusze Europejskie dla Nowoczesnej Gospodarki) is one such opportunity for financing AI projects.
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