Embedding the RI in text more frequently did not impact reading comprehension performance. The results indicate there are potential variables that may limit the effect of embedding the RI of students with ASD in text on reading comprehension.
In this post, we demonstrate the potential of large language model (LLM) debates using a supervised dataset with ground truth. In this LLM debate, we have two debater LLMs, each one taking one side of an argument and defending it based on the previous arguments for N(=3) rounds. The ...
7 text_key="page_content", 8 search_kwargs={"k": 10}, 9 ) The above code uses the from_connection_string method with the following arguments to create an instance of MongoDBParentDocumentRetriever: connection_string: Connection string for your MongoDB Atlas cluster. embedding_model: Embeddi...
If you have a secondary message to promote, like free shipping or a discount on certain items, the best place to surface that call to action is often with an announcement bar. Announcement bars typically show up at the very top of your website page in small text, so as not to compete...
Strategies for the directed evolution of proteins for new function often begin with thermostable proteins, which are more robust to mutations required to recover functional variants33,34,35. It is presently infeasible, however, to replace the E. coli large ribosomal subunit RNA (23S rRNA) with a...
More important, update the statistics on the clustered index or the full-text key for a full population. This helps a multi-range population to generate good partitions on the table. Before you perform a full population on a large multi-CPU computer, we recommend that you temporarily limit ...
Small p-values are typically associated with large fold changes, indicating pronounced differences between groups. Conversely, smaller fold changes are often linked to reduced statistical significance and consequently larger p-values. The top 50 shared DEGs are visualized in a heatmap (Fig. 8B), ...
and feature selection methods do not scale well in high-dimensional datasets. Deep learning has shown success in feature generation but requires large datasets to achieve high classification accuracy. Biology domains typically exhibit these challenges with numerous handcrafted features (high-dimensional) an...
- `jina-embedding-l-en-v1` **[Huggingface](https://huggingface.co/jinaai/jina-embedding-l-en-v1)**: This is a relatively large model with a size of 330 million parameters, that performs single-gpu inference and delivers better performance than our other model. - `jina-embedding-s-en...
Data Retrieval: The system retrieves relevant data—such as support documents or order details—by embedding and searching through internal databases, product manuals, and FAQs. Contextual Reasoning: A large language model uses these retrieved details to generate a helpful, coherent, and contextually ...