AWS Machine Learning Blog

MARCH 14, 2024

Generative AI with AWS The emergence of FMs is creating both opportunities and challenges for organizations looking to use these technologies. Coverage – Retrieval allows an FM to cover a broader range of topics and scenarios beyond its training data by pulling in external information. This helps address limited coverage issues.

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AWS Machine Learning Blog

JUNE 9, 2023

Introducing GraphStorm Graph algorithms and graph ML are emerging as state-of-the-art solutions for many important business problems like predicting transaction risks, anticipating customer preferences, detecting intrusions, optimizing supply chains, social network analysis, and traffic prediction.

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The MLOps Blog

APRIL 20, 2023

Some errors to avoid, which I learned from past experiences, include: Insufficient testing coverage : make sure to cover all relevant test scenarios, including edge cases, to catch potential issues before they affect users. neptune.ai’s case studies : knowledge base of practical use cases.

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Hacker News

JUNE 28, 2023

LLM Tech Comes to Wolfram Language LLMs make possible many important new things in the Wolfram Language. The most immediately visible LLM tech in Version 13.3 we now have complete, consistent coverage of all finite fields—and operations with them. Today, however, it seems there are finally broad standards emerging for AR and VR.

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The MLOps Blog

AUGUST 4, 2023

Let’s dive into the world of monorepos, an architecture widely adopted in major tech companies like Google, and how they can enhance your ML workflows. Situations described above arise way too often in ML teams, and their consequences vary from a single developer’s annoyance to the team’s inability to ship their code as needed.

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The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. Debugger to analyze model errors and identify new testing scenarios.

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IBM Journey to AI blog

FEBRUARY 9, 2024

There is inherent risk to any major, irreversible investment in an emerging technology or practice that might require significant retooling—or even become illegal—following new legislation or changing political headwinds in the coming years. Tangible experience (if any) was limited to messing around with ChatGPT and DALL-E.

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