The code snippet below is designed to configure the foundational and embedding models necessary for the RAG pipeline. Within this setup, the base model selected for text generation is the ‘gpt-3.5-turbo’ model from OpenAI, which is the default choice within the LlamaIndex library. While the ...
We now have a ChatPDF application that runs entirely on your laptop. Since this post mainly focuses on providing a high-level overview of how to build your own RAG application, there are several aspects that need fine-tuning. You may consider the following suggestions to enhanc...
it’s own data, rather than relying solely on its existing knowledge. RAG (Retriever-Augmented Generation) helps to avoid the need to retrain the model with new data. Instead, we can simply update our existing training data often. For instance, if new insights or data are discovered,...
Retrieval-Augmented Generation (RAG) is a new way to build language models. RAG integrates information retrieval directly into the generation process. It allows models to produce responses that are not only accurate but also deeply informed by relevant, real-world information. The RAG architecture is...
However, once you choose a foundational model, you’ll still need to customize it to your business, so your model can deliver results that address your challenges and needs. RAG can be a great fit for your LLM application if you don’t have the time or money to invest in fine-tuning....
Step 3. Develop a sample RAG application After evaluating the self-hosted model, exploreNVIDIA Generative AI Examplesto write sample RAG applications. The examples illustrate how NVIDIA microservices integrate with popular open-source LLM programming frameworks to produce end-to-end RAG pipelines. Data...
How to Build A Language Model Application in LangChain Managing Prompt Templates for LLMs in LangChain Combining LLMs and Prompts in Multi-Step Workflows Conclusion and Further Learning FAQs Share The capabilities of large language models (LLMs) such as OpenAI’s GPT-3, Google’s BERT, and...
Hi the team, Great work on this amazing project! Currently I'm trying to test RAG's performance on some simple QA tasks and I read the document of RAGforSequenceGeneration. I wonder how exactly to use past_key_values to speed up the gene...
also virtually created the potent blaxpoitation genre and guerrilla moviemaking; I thought I had seen it back in '71, but as soon as this film started I realized my memory was, embarrassingly, confusing it with Robert Downey Sr.'s "Putney Swope," so now I do need to see the original...
This article is a detailed technical deep dive into how to build a powerful model for anomaly detection with graph data containing entities of different types (heterogeneous graph data). The model…