IBM Journey to AI blog

AUGUST 23, 2023

Risks of training LLM models on sensitive data Large language models can be trained on proprietary data to fulfill specific enterprise use cases. For example, a company could take ChatGPT and create a private model that is trained on the company’s CRM sales data.

Large Language Models 167

Large Language Models Data Discovery LLM AI 167

IBM Journey to AI blog

JULY 3, 2024

Managing and delivering data for AI Data is fundamental to AI, from building AI models with the right data sets to tuning AI models with industry-specific enterprise data to using vectorized embeddings to build RAG AI applications (including chatbots, personalized recommendation systems and image similarity search applications).

Data Quality 112

Data Quality Metadata Business Intelligence AI 112

Marktechpost

JULY 19, 2023

A chatbot for taking notes, an editor for creating images from text, and a tool for summarising customer comments can all be made with a basic understanding of programming and a couple of hours. Prototyping AI-driven systems has always been more complex. Zeno is made available to the public via a Python script.

Machine Learning 52

Machine Learning ML Python Metadata 52

The MLOps Blog

JUNE 5, 2023

One of the hardest things about MLOps today is that a lot of data scientists aren’t native software engineers, but it may be possible to lower the bar to software engineering. So data is really important for those still. Like not everybody needs a chatbot, not everybody needs to have autocomplete of text or something like that.

Large Language Models 52

Large Language Models Machine Learning Software Engineer Natural Language Processing 52

ML @ CMU

MARCH 24, 2023

With a bit of programming knowledge and a couple of hours, you can spin up a chatbot for your notes , a text-based image editor , or a tool for summarizing customer feedback. While chatbot A might sound more human-like, a practitioner will deploy chatbot B if it produces concise and accurate answers that customers prefer.

AI Development 144

AI Development AI Developer Metadata Python 144

Flipboard

NOVEMBER 27, 2024

A Streamlit application is hosted in Amazon Elastic Container Service (Amazon ECS) as a task, which provides a chatbot UI for users to submit queries against the knowledge base in Amazon Bedrock. The table only exists in the Data Catalog. This powerful solution opens up exciting possibilities for enterprise data discovery and insights.

Metadata 148

Metadata Auto-complete Data Discovery ML Engineer 148