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: Embedding model for the vector store. This was initialized previously. child...
An LLM is a machine learning model that has been trained on very large quantities of text data with the goal of understanding and generating human language. An LLM is typically built using transformers, a type of neural network architecture that works on a “self-attention mechanism,” meaning ...
Understanding spaces and execution roles View SageMaker AI resources in your domain Shut down SageMaker AI resources in your domain Where to shut down resources per SageMaker AI features Choose an Amazon VPC Supported Regions and Quotas Automated ML, no-code, or low-code ...
GitHub Copilot: This AI coding assistant helps developers write code faster with less effort. LexisNexis uses it to help customize the app manifest, which provides the inputs to determine how the bot responds within Teams. Teams AI library: Built on top of the Bot Framework SDK, this...
code: this GitHub repository articles:Decoding ML 📚 How will you learn? The course contains10 hands-on written lessonsand theopen-source codeyou can access on GitHub, showing how to build an end-to-end LLM system. Also, it includes2 bonus lessonson how toimprove the RAG system. ...
Understanding DeepEval DeepEval is an open-source evaluation framework designed specifically for large language models, enabling developers to efficiently build, improve, test, and monitor LLM-based applications. It simplifies the process of evaluating LLM outputs by allowing users to "unit test" their...
RAG enhances LLMs by integrating external data retrieval, enriching their contextual understanding, and expanding their knowledge base beyond pre-existing training data. To illustrate RAG's efficacy, we introduce the Political EE system, specifically tailored to extract political event information from ...
[02/2025]Understanding the Language of Life's Biomolecules Across Evolution at a New Scale with Evo 2 [02/2025]NVIDIA DGX Cloud Introduces Ready-To-Use Templates to Benchmark AI Platform Performance [01/2025]Continued Pretraining of State-of-the-Art LLMs for Sovereign AI and Regulated Industr...
Has anybody considered using LLM's to reverse engineer legacy (mainframe) code to generate documentation? Github copilot is quite good at providing low-level documentation, but we would love to take a large volume of mainframe code and generate ...
The quality of the LLM-generated information depends on well-crafted prompts. AI-based VS code extension was not able to give me the code that I was looking for, so it took up all my time (which I got very annoyed about). I think I just didn’t word the question well. (P28) Co...