Text-to-Speech synthesis (TTS) Neural Machine Translation (NMT) A collection of natural language processing (NLP) services, such as named entity recognition (NER), punctuation, and intent classification. In this tutorial, we will fine-tune a Riva NMT Multilingual model...
Unleash your creativity with AI-generated art. Learn the step-by-step process to create stunning artwork with the power of artificial intelligence.
Neural Embedding Models(Main Idea) To generate an embedding matrix in R(|all words| * |context words|) which looks like: (count based vectors) Rows are word vectores. We can retrieve a certain word vector with one-hot vector. (One)generic idea behind embedding learning: (1) Collect insta...
Having been trained on a vast corpus of text, LLMs can manipulate and generate text for a wide variety of applications without much instruction or training. However, the quality of this generated output is heavily dependent on the instruction that you give the model, which is referred to as ...
The retrieved documents, user query, and any user prompts are then passed as context to an LLM, to generate an answer to the user’s question. Choosing the best embedding model for your RAG application As we have seen above, embeddings are central to RAG. But with so many embedding ...
How does a generative AI tool take a line of text like “Create a recipe using tomatoes, leftover chicken thighs, and pasta” and produce a plausible weeknight dinner idea? At a high level, these tools rely onnatural language processing (NLP)to understand user requests and generate relevant ...
An evaluation run allows you to generate metric outputs for each data row in your test dataset. You can choose one or more evaluation metrics to assess the output from different aspects. You can create an evaluation run from the evaluation, model catalog or prompt flow pages in Azure AI Foun...
Below is what DALL-E came up with: You can pick an image and create more variations for extra inspiration, like so: Midjourneyis another platform that can generate images based on user prompts. To use it, you need a Discord account and join the Midjourney beta server. From there, use ...
In addition to learning your customers’ language, training involves identifying and supplying your underlying language model with all the knowledge it needs to generate a response. Imagine you sell bicycles. Your conversational AI assistant must answer questions such as “How do I adjust the seat?
An improvement to the model involves gathering the probability distribution of words across the vocabulary for the output sequence and searching it to generate multiple possible descriptions. These descriptions can be scored and ranked by likelihood. It is common to use a Beam Search for this search...