IBM Journey to AI blog

MAY 8, 2023

Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage. Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality.

AI 172

AI AI Algorithm Generative AI 172

Towards AI

APRIL 2, 2024

However, the AI community has also been making a lot of progress in developing capable, smaller, and cheaper models. This can come from algorithmic improvements and more focus on pretraining data quality, such as the new open-source DBRX model from Databricks. Why should you care?

LLM 77

LLM OpenAI Explainable AI AI 77

Snorkel AI

OCTOBER 4, 2023

ML can significantly reduce the time necessary to pre-process customer data for downstream tasks, like training predictive models. Supercharge predictive modeling. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

AI 64

AI AI Data Scientist Neural Network 64

Unite.AI

SEPTEMBER 4, 2023

Llama 2 isn't just another statistical model trained on terabytes of data; it's an embodiment of a philosophy. One that stresses an open-source approach as the backbone of AI development, particularly in the generative AI space. Data quality and diversity are just as pivotal as volume in these scenarios.

ChatGPT 290

ChatGPT Auto-complete Large Language Models LLM 290

Snorkel AI

OCTOBER 4, 2023

ML can significantly reduce the time necessary to pre-process customer data for downstream tasks, like training predictive models. Supercharge predictive modeling. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

AI 59

AI AI Data Scientist Neural Network 59

Snorkel AI

MARCH 14, 2023

Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications. Alternately, Vertex AI Endpoints can be used to rapidly deploy models trained in Snorkel Flow.

Data Scientist 52

Data Scientist Data Drift AI AI 52

Snorkel AI

MARCH 14, 2023

Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications. Alternately, Vertex AI Endpoints can be used to rapidly deploy models trained in Snorkel Flow.

Data Scientist 52

Data Scientist Data Drift AI AI 52