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How to Improve the Reliability of ChatGPT: Techniques and Tips

Analytics Vidhya

Large language models (LLM) such as GPT-4 have significantly progressed in natural language processing and generation. These models are capable of generating high-quality text with remarkable fluency and coherence. However, they often fail when tasked with complex operations or logical reasoning.

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How Can You Showcase AI Skills To Supercharge Your Resume?

Flipboard

If you search for requirements for specific AI-related positions, such as “prompt engineering certificate” on Google, you’re quickly bombarded by countless websites hoping to sell you their all-inclusive course on the subject that’s guaranteed to help you land a six-figure salary.

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Prompt Engineering Hacks for ChatGPT & LLM Applications

Topbots

Harnessing the full potential of AI requires mastering prompt engineering. This article provides essential strategies for writing effective prompts relevant to your specific users. The strategies presented in this article, are primarily relevant for developers building large language model (LLM) applications.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity.

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Unlocking the Potential: The Fascinating World of Language Model Optimization with ChatGPT

Pickl AI

In this article, we will deep-dive into the captivating world of language model optimization and explore how ChatGPT has made a significant impact in the field. ChatGPT is not just another AI model; it represents a significant leap forward in conversational AI.

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Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK

AWS Machine Learning Blog

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. You can also access the foundation models thru Amazon SageMaker Studio.

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Use your data to build your AI moat: The Future of Data-Centric AI 2023

Snorkel AI

Details at a glance: Date: June 7 – 8, 2023 Time: 8am – 2:30pm PT / each day Format: Virtual and free Register for free today Data-centric AI: vital now more than ever AI has experienced remarkable advancements in recent months, driven by innovations in machine learning, particularly deep learning techniques.