Remove AI Strategy Remove Metadata Remove NLP
article thumbnail

Introducing watsonx: The future of AI for business

IBM Journey to AI blog

1] Users can access data through a single point of entry, with a shared metadata layer across clouds and on-premises environments. It empowers businesses to automate and consolidate multiple tools, applications and platforms while documenting the origin of datasets, models, associated metadata and pipelines.

article thumbnail

Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. With multiple families in plan, the first release is the Slate family of models, which represent an encoder-only architecture. To bridge the tuning gap, watsonx.ai

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

What‘s the Difference Between Similarity Search and Re-Ranking?

Marktechpost

Similarity Search Similarity search is a potent Artificial Intelligence (AI) strategy that focuses on the meaning contained in the information rather than only employing keywords. User preferences, contextual data, and metadata are a few examples of these features. Sources: [link] [link] [link].

article thumbnail

The 17 Most Popular AI Software Products for 2024

Viso.ai

Such tasks include image recognition , video analytics , generative AI, voice recognition, text recognition, and NLP. The strategic importance of AI technology is growing exponentially across industries. Many businesses are exploring and investing in AI solutions to stay competitive and enhance their business processes.

article thumbnail

Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

Flipboard

Efficient metadata storage with Amazon DynamoDB – To support quick and efficient data retrieval, document metadata is stored in Amazon DynamoDB. This extracted text is then available for further analysis and the creation of metadata, adding layout-based structure and meaning to the raw data.

article thumbnail

Best practices for prompt engineering with Meta Llama 3 for Text-to-SQL use cases

AWS Machine Learning Blog

By implementing these practices, engineers can optimize the use of Meta Llama 3 models for various tasks, from generic inference to specialized natural language processing (NLP) applications like Text-to-SQL parsing, using the model’s capabilities effectively. Create a SageMaker endpoint with the BGE Large En v1.5