Remove AI Development Remove Data Extraction Remove Prompt Engineering
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Advanced Prompt Engineering Techniques for AI Developers: Unlocking the Power of LLMs

Towards AI

Large Language Models (LLMs) like GPT-4, Claude-4, and others have transformed how we interact with data, enabling everything from analyzing research papers to managing business reports and even engaging in everyday conversations. However, to fully harness their capabilities, understanding the art of prompt engineering is essential.

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Enterprise LLM APIs: Top Choices for Powering LLM Applications in 2024

Unite.AI

Conversational AI : Developing intelligent chatbots that can handle both customer service queries and more complex, domain-specific tasks. Data Extraction & Analysis : Summarizing large reports or extracting key insights from datasets using GPT-4’s advanced reasoning abilities.

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Bloomberg’s Gideon Mann on the power of domain specialist LLMs

Snorkel AI

GM: Well before this training challenge, we had done a lot of work in organizing our data internally. We had spent a lot of time thinking about how to centralize the management and improve our data extraction and processing. How you engineer the test set matters a ton for whether the model actually works in the real world.

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Bloomberg’s Gideon Mann on the power of domain specialist LLMs

Snorkel AI

GM: Well before this training challenge, we had done a lot of work in organizing our data internally. We had spent a lot of time thinking about how to centralize the management and improve our data extraction and processing. How you engineer the test set matters a ton for whether the model actually works in the real world.

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Bloomberg’s Gideon Mann on the power of domain specialist LLMs

Snorkel AI

GM: Well before this training challenge, we had done a lot of work in organizing our data internally. We had spent a lot of time thinking about how to centralize the management and improve our data extraction and processing. How you engineer the test set matters a ton for whether the model actually works in the real world.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. Agent Creator is a no-code visual tool that empowers business users and application developers to create sophisticated large language model (LLM) powered applications and agents without programming expertise.