Remove content tag drug-development
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8 Ways Automatic Speech Recognition Can Increase Efficiency For Your Business

AssemblyAI

Most businesses have no shortage of audio and video content. While this content offers a gold mine of data, this information often goes to the wayside. Content management 2. Through content categorization and tagging, users are able to more easily search for the content that’s relevant to them.

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Microsoft’s TAG-LLM: An AI Weapon for Decoding Complex Protein Structures and Chemical Compounds!

Marktechpost

Addressing this challenge, a groundbreaking framework developed at Microsoft Research, TAG-LLM, emerges. At the heart of TAG-LLM lies a system of meta-linguistic input tags, ingeniously conditioning the LLM to navigate domain-specific landscapes adeptly.

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The most valuable AI use cases for business

IBM Journey to AI blog

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. YouTube will deliver a curated feed of content suited to customer interests. Humanize HR AI can attract, develop and retain a skills-first workforce.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

In this post, we demonstrate how to build a RAG workflow using Knowledge Bases for Amazon Bedrock for a drug discovery use case. It then employs a language model to generate a response by considering both the retrieved documents and the original query. This data is information rich but can be vastly heterogenous.

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Artificial Intelligence trends in 2023

How to Learn Machine Learning

With the development of AI technologies, many industries are leveraging its potential to solve complex problems and improve customer experience. How has artificial intelligence been developed over the years, and where is it headed in the future? The development of artificial intelligence (AI) has been rapid and far-reaching.

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Data labeling a practical guide (2023)

Snorkel AI

Data labeling remains a core requirement for any organization looking to use machine learning to solve tangible business problems, especially with the increased development and adoption of LLMs. This points to a future where enterprise development of LLMs centers on data development, and data labeling remains a core requirement.

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MLflow: Simplifying Machine Learning Experimentation

Viso.ai

MLflow is an open-source platform designed to manage the entire machine learning lifecycle, making it easier for ML Engineers, Data Scientists, Software Developers, and everyone involved in the process. MLflow specifically addresses the challenges in the development and experimentation phase.