IBM Journey to AI blog

SEPTEMBER 26, 2023

States’ existing investments in modernizing and enhancing ancillary supportive technologies (such as document management, web portals, mobile applications, data warehouses and location services) could negate the need for certain system requirements as part of the child support system modernization initiative.

Automation 281

Automation Knowledge Model AI AI 281

IBM Journey to AI blog

JUNE 2, 2023

improved document management capabilities, web portals, mobile applications, data warehouses, enhanced location services, etc.) IBM Consulting Cloud Accelerator (ICCA) recommends client journeys without deep engineering knowledge, covering execution and modernization steps that take a workload from a source to a cloud destination.

Auto-complete 252

Auto-complete DevOps Automation Knowledge Model 252

O'Reilly Media

DECEMBER 12, 2023

Any of these prompts might generate book sales—but whether or not sales result, they will have expanded my knowledge. Models that are trained on a wide variety of sources are a good; that good is transformative and should be protected. They make it possible to search for relevant or similar documents.) We have provenance.

AI 103

AI AI LLM Black Box AI 103

AWS Machine Learning Blog

MARCH 14, 2024

There are several use cases where RAG can help improve FM performance: Question answering – RAG models help question answering applications locate and integrate information from documents or knowledge sources to generate high-quality answers. This specializes the model for that particular task.

Generative AI 136

Generative AI Prompt Engineer Prompt Engineering AI 136

Pickl AI

DECEMBER 5, 2024

Retriever The retriever is responsible for identifying and fetching relevant documents or data from an extensive knowledge repository, such as a database or document corpus. This collaboration bridges the gap between static knowledge models and dynamic query resolution, ensuring relevance and fluency.

Natural Language Processing 52

Natural Language Processing Conversational AI Chatbots Artificial Intelligence 52

Probably Approximately a Scientific Blog

JANUARY 12, 2021

Dynamic neuro-symbolic integration There are two main limitations to the neuro-symbolic integration discussed above: Coverage: relevant knowledge is often not found as-is in commonsense knowledge resources. As we've seen earlier, commonsense knowledge is immeasurably vast, so much of it is not documented.

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

AWS Machine Learning Blog

JULY 9, 2024

Quantitative reasoning This task determines if, given a question and lengthy documents, the model can perform complex calculations and correctly reason to produce an accurate answer. The questions are written by financial professionals using real-world data and financial knowledge.

Generative AI 132

Generative AI LLM Machine Learning AI 132