Remove Natural Language Processing Remove Prompt Engineering Remove Software Engineer
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DeepSeek-R1: Transforming AI Reasoning with Reinforcement Learning

Unite.AI

These pioneering efforts not only showcased RLs ability to handle decision-making in dynamic environments but also laid the groundwork for its application in broader fields, including natural language processing and reasoning tasks.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

Flipboard

FM solutions are improving rapidly, but to achieve the desired level of accuracy, Verisks generative AI software solution needed to contain more components than just FMs. Prompt optimization The change summary is different than showing differences in text between the two documents.

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What it’s Like to be a Prompt Engineer

ODSC - Open Data Science

Prompt engineers are responsible for developing and maintaining the code that powers large language models or LLMs for short. But to make this a reality, prompt engineers are needed to help guide large language models to where they need to be. But what exactly is a prompt engineer ?

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Prompt engineering in under 10 minutes?—?theory, examples and prompting on autopilot

Artificial Corner

Prompt engineering in under 10 minutes — theory, examples and prompting on autopilot Master the science and art of communicating with AI. Prompt engineering is the process of coming up with the best possible sentence or piece of text to ask LLMs, such as ChatGPT, to get back the best possible response.

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Roadmap of Becoming a Prompt Engineer (2023)

Flipboard

A prompt is a set of input text or instructions used to guide AI models like ChatGPT, DALLE-2, etc., toward generating desired outputs. In other …

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Build agentic systems with CrewAI and Amazon Bedrock

Flipboard

Consider a software development use case AI agents can generate, evaluate, and improve code, shifting software engineers focus from routine coding to more complex design challenges. Amazon Bedrock manages prompt engineering, memory, monitoring, encryption, user permissions, and API invocation.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning Blog

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.