For the rest of the tutorial, we will take RAG as an example to demonstrate how to evaluate an LLM application. But before that, here’s a very quick refresher on RAG. This is what a RAG application might look like: In a RAG application, the goal is to enhance the quality of respons...
Use Comet ML's experiment tracker to monitor the experiments. Evaluate and save the best model to Comet's model registry. ☁️ Deployed on Qwak. The inference pipeline Load the fine-tuned LLM from Comet's model registry. Deploy it as a REST API. Enhance the prompts using advanced RAG....
Part 1: How to Choose the Right Embedding Model for Your LLM Application Part 2: How to Evaluate Your LLM Application Part 3: How to Choose the Right Chunking Strategy for Your LLM Application Part 4: Improving RAG using metadata extraction and filtering What is an embedding and embedding mod...
However, using RAG also adds a new component that requires testing its relevancy and performance. The types of testing depend on how easy it is to evaluate the RAG and LLM’s responses and to what extent development teams can leverage end-user feedback. I recently spoke with Deon Nicholas,...
We need to evaluate the long-term total cost of ownership and initial and operational costs. Consideration of scalability, support, and resource requirements allows us to choose a database based on our budget and growth requirements. Community and Vendor Support Active Development A strong community...
This section will show you how to evaluate these systems and make them as efficient and hypoallergenic as possible. Check Humidity Ridding the house of excess moisture helps prevent the spread of mold and decreases the survival rate of dust mites and cockroaches. If you live in an area of ...
GTC session:Generative AI Theater: Supercharge Software Delivery With RAG GTC session:From RAG to Rich Apps with Snowflake Cortex (Presented by Snowflake) NGC Containers:rag-playground NGC Containers:rag-application-multiturn-chatbot NGC Containers:rag-application-query-decomposition-agent ...
including prompts, training data, and hyperparameters. The optimization process involves navigating a multidimensional search space, where isolating the effects of individual changes is complex. The combinatorial explosion of options makes it difficult to systematically test and evaluate every potential modifi...
Master Retrieval-Augmented Generation (RAG), the most popular generative AI tool, to unlock the full potential of your data. This book enables you to develop highly sought-after skills as corporate investment in generative AI soars.IntroductionAs the adoption of Retrieval-Augmented Generation (RAG)...
wasZephyr 7B beta, trained in early 2023. Finally, I settled on asking about theGoogle Bard AI chatbot. It has had many developments over the past year, after the Zephyr training date. I also have a decent knowledge of Bard to evaluate the LLM’s answers. Thus I used “what is google...