IBM Journey to AI blog

SEPTEMBER 28, 2023

An AI and data platform, such as watsonx, can help empower businesses to leverage foundation models and accelerate the pace of generative AI adoption across their organization.

Generative AI 248

Generative AI Large Language Models AI AI 248

IBM Journey to AI blog

APRIL 24, 2024

While strong prompts are harder to break, they can still be broken with clever prompt engineering. For example, hackers can use a prompt leakage attack to trick an LLM into sharing its original prompt. Then, they can copy the prompt’s syntax to create a compelling malicious input.

LLM 264

LLM Large Language Models Chatbots Artificial Intelligence 264

AWS Machine Learning Blog

DECEMBER 5, 2024

Automated Reasoning checks help prevent factual errors from hallucinations using sound mathematical, logic-based algorithmic verification and reasoning processes to verify the information generated by a model, so outputs align with provided facts and arent based on hallucinated or inconsistent data.

Responsible AI 103

Responsible AI AI Tools AI AI 103

IBM Journey to AI blog

FEBRUARY 13, 2024

While advanced models can handle diverse data types, some excel at specific tasks, like text generation, information summary or image creation. The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial.

Generative AI 343

Generative AI AI AI Chatbots 343

AWS Machine Learning Blog

JULY 29, 2024

Salesforce Data Cloud and Einstein Model Builder Salesforce Data Cloud is a data platform that unifies your company’s data, giving every team a 360-degree view of the customer to drive automation and analytics, personalize engagement, and power trusted AI.

Generative AI 115

Generative AI LLM Large Language Models AI 115

IBM Journey to AI blog

JULY 17, 2023

offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting. These Slate models are fine-tuned via Jupyter notebooks and APIs. To bridge the tuning gap, watsonx.ai

Machine Learning 186

Machine Learning Metadata Automation AI 186

The MLOps Blog

MARCH 12, 2024

Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. The quality and structure of prompts significantly influence LLMs’ output.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models LLM 52