Hacker News

AUGUST 3, 2023

Much of current AI research aims to design LLMs that seek helpful, truthful, and harmless behavior. Researchers can collect human feedback in several ways: rating different model outputs, demonstrating preferred responses to prompts, correcting undesirable model outputs, or providing critiques in natural language.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Supplementing our auditory data processing, the Whisper ASR is also furnished with a RESTful API, enabling streamlined voice-to-text conversions. CoT processes queries to discern intent and trigger-associated sub-tasks to meet the query’s goals. Whisper can be effortlessly deployed via SageMaker JumpStart using its template.

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Dataconomy

JULY 25, 2023

Sutherland’s “ Sword of Damocles ” was an influential head-mounted display, while Engelbart’s “ Augmentation Research Center ” showcased the idea of using computers to augment human intelligence and improve collaboration.

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The MLOps Blog

MARCH 28, 2023

This includes not only visual search but also voice and text search with special kinds of signals that can be explored with AI.“ — Paweł Pęczek, Machine Learning Engineer at Brainly MLOps team structure The technology teams at Brainly are divided into product and infrastructure teams. They integrate with neptune.ai

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Iguazio

FEBRUARY 8, 2024

This includes version control, tracking experiments and documentation to foster collaboration among data scientists, engineers and researchers. The emphasis will be on fine-tuning models to align with brand voice and target audience, and extensive testing will be necessary to ensure reliability. What is MLOps?

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Flipboard

NOVEMBER 24, 2023

Anthropic, an AI safety and research lab that builds reliable, interpretable, and steerable AI systems, is one of the leading AI companies that offers access to their state-of-the art LLM, Claude, on Amazon Bedrock. Greg has published research in the areas of operating systems, parallel computing, and distributed systems.

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Dataconomy

MAY 25, 2023

Real-time monitoring and alerting AI algorithms enable IoT devices to monitor critical parameters and trigger alerts in real-time. Voice and gesture recognition AI-powered IoT devices can understand and respond to natural language commands and gestures.

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The MLOps Blog

MARCH 12, 2024

Recommended LLM Fine-Tuning and Model Selection Using Neptune and Transformers Read more Training and serving LLMs For larger organizations or dedicated research teams, the journey may involve training LLMs from scratch—a path taken when existing models fail to meet an application’s unique demands or when pushing the envelope of innovation.

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