Improving Language Models with Retrieval-Augmented Generation (RAG)

Research & Innovation 🧮

This week we will be focusing on Retrieval-Augmented Generation (RAG), one of the latest innovations in natural language processing.

RAG is a type of language model that combines retrieval-based and generation-based approaches to natural language processing. In RAG models, a retrieval component is used to retrieve relevant information from a knowledge source, such as a database or a set of documents, and this information is then used by a generation component to generate a response.

These innovations have significant implications for the development of more reliable and factually accurate language models. Our team has been exploring the potential of these innovations, including SELF-RAG and TabFMs, which address the limitations of LLMs in generating responses with factual inaccuracies and enable effective tabular data learning. Additionally, HyperAttention tackles the computational challenges that arise from the increasing complexity of long contexts in LLMs, while EFT and LM up-scaling allow for the decoupling and enhancement of knowledge and skills in LMs without the need for additional training.

These papers shown promising results, with these advancements having the potential to improve the efficiency and capabilities of LMs, enhancing their performance in a wide range of natural language processing tasks. We believe that these advancements have the potential to revolutionize the field of natural language processing, providing more reliable and factually accurate language models.

We invite you to try the conversation with agents who have already read the articles 👇.

New at CodeGPT 🎁

GitHub Shines Bright: It's Finally Here!

The star of the week is the new GitHub Import option of CodeGPT Plus to include on trained documents public GitHub repositories. Now you'll be able to interact with repositories, identify production errors in your projects, collaborate with other developers, and this is just the beginning. Find out all about it in our article Introducing Github Sync for CodeGPT (Beta) written by Gustavo Espindola.

This week, we bring you 4 repositories from our CEO, Daniel Avila, to embed your social media with a CodeGPT agent for you to try out. So you can talk with our agents about it:

• Discord Repository

• Telegram Repository

• WhatsApp Repository

• Worldle Repository

Keep in mind that this is a Beta version, and we'd love to hear about your experience. If you come across any unexpected responses (hallucinations) from our agents while using these repositories, please let us know. Additionally, we invite you to upload a repository you know like the back of your hand and challenge the agent with your questions. We're eager to hear about your progress. You can even schedule a meeting with us to discuss your experience further – here's our calendar.

Also you can recommend us other repositories that you consider important here: