This paper presents a structured activity to introduce high school students in the topics of representation and reasoning in Artificial Intelligence, which are completely new for them at this educational level. The activity has been designed in the scope of the Erasmus+ project called AI+, which ...
In AI, is bigger always better?, Nature Article 2023.Article Language Models are Few-Shot Learners, NeurIPS 2020.Paper Pricing, OpenAI.Blog Post Latency HELM:Holistic evaluation of language models, Arxiv 2022.Paper Parameter-Efficient Fine-Tuning ...
J'ai seulement fait ici un amas de fleurs étrangères, n'y ayant fourni du mien que le filet à les lier. My Machine Learning-related stuff! My Apache Zeppelin and Jupyter notebooks, and more! For a series of valuable data analysis and machine learning-related stuff in general ...
GAIA (General AI Agent benchmark) evaluates how well AI systems handle real-world questions, requiring a combination of reasoning, web browsing, multimodal fluency, and tool-use proficiency. Deep Research set a new state-of-the-art (SOTA) record, leading the external GAIA leaderboard with strong...
-Enriching data, to fill in gaps with new information How can AI fill in gaps on incomplete datasets? Ontologies from MR can be applied to create entailments, or processes that make new assertions about data based on reasoning. Let’s look at a simple example. ...
Cursor gave a reasoning for the error and then suggested a fix outlining the changes that it is suggesting. ✅ After I accepted the changes, and the errors went away. 🫴🏼Takeaway: Code changes and other suggestions may cause runtime errors. Always make sure to test the app with...
Group wasinparttomake an assessment that would potentially flesh out some underlyingtheoreticalframework to explicate the reasoning in the decisions. daccess-ods.un.org daccess-ods.un.org 研究组面临的部分挑战是开展一项 评估,以充实某种基本理论框架,从而对各裁决所持的理由作出解释。
Large generative AI models unlock massive value for the world, but the picture isn’t only roses. Costs for training for these civilization-redefining models have been ballooning at an incredible pace. Modern AI has been built on scaling parameter counts
(a false response by GPT-4 is known as a “hallucination”8). Similarly, where policies are frequently revised, comments provided by GPT-4 algorithms may be out of date or incorrect. It also arises that when comparisons are presented, the reasoning deployed is weak. Moreover, ChatGPT has ...
Explainability and interpretability. So if it comes and says that yes, there is a tumor, we expect it to give some reasoning, some sort of explanations of why it decided that there is a tumor. And then there’s a lot of nuance there too, because that explanation, if it’s been given...