Dell & Products L.p.

Dell Products Inc.

Iam Palatnik De Sousa

Paulo Abelha Ferreira

Werner Spolidoro Freund

Sarah Evans

Vicente J P Amorim

Roberto Nery Stelling Neto

Adriana Bechara Prado

Micael Veríssimo De Araújo

João Victor Pinto

Pedro Fratini Chem

Karen Braga Enes

David Burth Kurka

Saliency heatmap generation is disclosed. A mask that corresponds to an image is iteratively passed through a model. At each iteration, the output mask is optimized via gradient descent to gradually turn off one or more pixels. The output mask is iteratively passed in order to minimize contributions of pixels and to maximize a class prediction. After generating a final output mask, a saliency heatmap is generated.

Detailed perturbative heatmap explanations

One example method includes receiving a data file at a large language model (LLM). Arbitrary tags that include labels that are attachable to the data file and prompts are also received. The prompts are paired with the arbitrary tags to form arbitrary tag-prompt pairs and include information that is used by the LLM to find the paired arbitrary tag. The LLM determines a selected subset of the arbitrary tags that apply to the data file. A trust module receives the selected subset of the arbitrary tags that apply to the data file and data access policies that specify access rules for the data file. A conditional access decision is determined that specifies whether access should be given to the data file.

Efficient arbitrary policies for data authorization decision points

One example method includes enabling a user to define a query that comprises a hybrid search syntax (HSS), and the HSS is in the form of a single string that comprises a lexical component and a semantic component, receiving the query from the user, parsing the lexical component and the semantic component into respective groups of one or more sub-components, performing a lexical search based on the sub-components of the lexical component, and performing a semantic search based on the sub-components of the semantic component, ranking, separately from each other, results of the lexical search and results of the semantic search, combining the results of the lexical search and the results of the semantic search to create aggregate results, and re-ranking the aggregate results.

Advanced hybrid search syntax for power user content retrieval

Growing community of inventors

Rio de Janeiro, Brazil

Iam Palatnik De Sousa