IBM Journey to AI blog

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Monitor, catalog and govern models from anywhere across your AI’s lifecycle.

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Metadata Explainability Automation AI 179

Unite.AI

SEPTEMBER 28, 2023

In fact, ​​60% of organizations with reported AI adoption are now using generative AI. Today’s leaders are racing to determine how to incorporate AI tools into their tech stacks to remain competitive and relevant – and AI developers are creating more tools than ever before.

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NVIDIA

NOVEMBER 17, 2023

NVIDIA and cloud service provider (CSP) Scaleway are working together to deliver access to GPUs, NVIDIA AI Enterprise software, and services for turbocharging large language models (LLMs) and generative AI development for European startups. When doing business in Europe, U.S.

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Metadata Large Language Models Generative AI Software Development 125

IBM Journey to AI blog

JANUARY 9, 2024

In the generative AI or traditional AI development cycle, data ingestion serves as the entry point. The entire generative AI pipeline hinges on the data pipelines that empower it, making it imperative to take the correct precautions.

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IBM Journey to AI blog

APRIL 4, 2023

The AI translates the metadata from each shot into descriptive textual elements. I believe AI Commentary in the Masters app is an example of the kinds of use cases we can expect: purpose-built AI models, built from trusted data, designed to serve up helpful, accurate information on specific subject matter.

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John Snow Labs

MAY 21, 2024

The Models Hub acts as a centralized platform where users from your organization can easily manage their AI development lifecycle. It supports operations like the secure sharing, searching, filtering, testing, publishing, importing, and exporting of AI models, prompts, and rules.

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Generative AI AI Modeling Metadata NLP 52

Defined.ai blog

FEBRUARY 13, 2023

As such, much of the legality of modern AI development and use has thus been hazy at best. Therein lies the problem: the majority of the data scraped by AI developers for model training lacks opt-in or use permissions from content creators, nor does it publicly recognize or compensate creators.

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Unite.AI

SEPTEMBER 18, 2023

Another subfield that is quite popular amongst AI developers is deep learning, an AI technique that works by imitating the structure of neurons. Artwork metadata and digital tokens are stored in OrbitDB, a database storage system that uses multiple nodes to store the data, and thus ensures data security & privacy.

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AWS Machine Learning Blog

OCTOBER 6, 2023

Generative AI developers can use frameworks like LangChain , which offers modules for integrating with LLMs and orchestration tools for task management and prompt engineering. A media metadata store keeps the promotion movie list up to date. A feature store maintains user profile data.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

The registry contains metadata about generative AI service endpoints that an organization consumes, whether it’s an internally deployed FM or an externally provided generative AI API from a vendor. This table will hold the endpoint, metadata, and configuration parameters for the model.

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Generative AI Metadata AI AI 91

Snorkel AI

JANUARY 30, 2024

The role of expert feedback in AI development Expert feedback has always been a vital component of valuable AI systems. In our case study, the insights, logic, and intuition the SME provided guided how we developed and fine-tuned different components. It’s even more important in GenAI systems.

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LLM Large Language Models AI AI 52

Snorkel AI

JANUARY 30, 2024

The role of expert feedback in AI development Expert feedback has always been a vital component of valuable AI systems. In our case study, the insights, logic, and intuition the SME provided guided how we developed and fine-tuned different components. It’s even more important in GenAI systems.

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LLM Large Language Models AI AI 52

Unite.AI

AUGUST 4, 2023

LangChain fills a crucial gap in AI development for the masses. LangFlow serves as a user interface for orchestrating LangChain components into an executable flowchart, enabling quick prototyping and experimentation. Therefore, careful management and optimization of token usage are crucial when working with these large language models.

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Prompt Engineer Prompt Engineering Python NLP 245

Snorkel AI

JANUARY 9, 2024

Simplified onboarding with enhanced documentation In this release, we’ve dedicated considerable effort to simplifying and streamlining the critical initial phases of AI development.

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Metadata Machine Learning LLM AI Developer 52

Snorkel AI

JANUARY 9, 2024

Simplified onboarding with enhanced documentation In this release, we’ve dedicated considerable effort to simplifying and streamlining the critical initial phases of AI development.

Metadata 52

Metadata Machine Learning LLM AI Developer 52

Becoming Human

MAY 12, 2023

The capability of AI to execute complex tasks efficiently is determined by image annotation, which is a key determinant of its success and is defined as the process of labeling images with descriptive metadata. Since it lays the groundwork for AI applications, it is also often referred to as the ‘core of AI and machine learning.’

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

This prompt catalog is a central location for storing prompts to avoid replications, enable version control, and share prompts within the team to ensure consistency between different prompt testers in the different development stages, which we introduce in the next section. The next step is to start developing the generative AI application.

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Mlearning.ai

FEBRUARY 21, 2023

ONNX (Open Neural Network eXchange) is an open-source standard that defines a common set of operators and a file format that enables AI developers to use models with a variety of frameworks, tools, runtimes, and compilers. Some of the most familiar examples of ML frameworks are PyTorch and TensorFlow. What is ONNX?

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Deep Learning Machine Learning Neural Network Natural Language Processing 52

deepsense.ai

SEPTEMBER 24, 2023

Adapting to software house project style The wide spectrum of projects that we implement at our AI development company – from R&D to production – meant that we had to think carefully about the main assumptions of the template to make it as universal as possible. setup.cfg – package metadata and dependencies.

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Machine Learning Python ML Metadata 77

AWS Machine Learning Blog

NOVEMBER 16, 2023

However, innovation was hampered due to using fragmented AI development environments across teams. This heterogeneity initially enabled different teams to move fast in their early AI development efforts, but is now holding back opportunities to scale and improve efficiency of our AI development processes.

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Data Scientist ML Data Science Automation 83

Snorkel AI

JANUARY 31, 2023

Snorkel AI provides a data-centric AI development platform for AI teams to unlock production-grade model quality and accelerate time-to-value for their investments. It provides a model metadata catalog that makes it easy to trace the lineage of model versions and to make them more discoverable.

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Data Drift Explainability AI AI 52

Snorkel AI

JANUARY 31, 2023

Snorkel AI provides a data-centric AI development platform for AI teams to unlock production-grade model quality and accelerate time-to-value for their investments. It provides a model metadata catalog that makes it easy to trace the lineage of model versions and to make them more discoverable.

Data Drift 52

Data Drift Explainability AI AI 52

ODSC - Open Data Science

OCTOBER 6, 2023

This might sound like table stakes, but you’d be surprised how often this is overlooked in the AI development space. Logging LangSmith provides detailed logs that capture not just the output, but also valuable metadata. Standard Convention LangChain adheres to industry-standard coding practices.

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Prompt Engineer Prompt Engineering Python Data Science 52

AWS Machine Learning Blog

NOVEMBER 30, 2023

Here you can provide the metadata for this model hosting information along with the input format/template your specific model expects. He leads a team of scientists working on Responsible AI and his research interests are Algorithmic Fairness and Explainable Machine Learning. When not working, he loves biking and basketball.

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Large Language Models LLM Algorithm Responsible AI 83