pepper over dark background.. AI is a recipe. The way we now combine, blend, enrich and in some cases restrict the ingredients that go into our Artificial Intelligence models is becoming a richer concoction of sources in the form of different Large Language Models and logic functions. The way we ultimately serve up their intelligence inside enterprise applications now has a full menu of items and methods of preparation behind it.
These topics are what data scientists talk about at AI dinner parties these days, or at least they would be if the data logic cognoscenti went out forAlways aiming to lead the thought space in AI circles by leaning on its massive data backbone and existing track record is Amazon Web Services, Inc. . The company has now come forward with new Amazon Bedrock capabilities for software application development engineers to widen the menu when building advanced gen-AI applications.
“With so many fast advancements in generative AI models, it is critical that developers can quickly and easily evaluate, adopt and integrate cutting-edge Large Language Models and foundation models technologies into their applications,” said. “That’s why over 10,000 developers are using Amazon Bedrock now. It brings together model choice and powerful tools like Guardrails for Amazon Bedrock and Model Evaluator to bring the latest science in generative AI into applications.
As a good example of this point, AWS reminds us that many AI models use built-in controls to filter undesirable and harmful content, but most customers want to further tailor their generative AI applications so responses remain relevant, align with company policies and adhere to responsible AI principles.