Remove AI Chatbots Remove LLM Remove Prompt Engineering
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The Essential Guide to Prompt Engineering in ChatGPT

Unite.AI

Since its launch, ChatGPT has been making waves in the AI sphere, attracting over 100 million users in record time. The secret sauce to ChatGPT's impressive performance and versatility lies in an art subtly nestled within its programming – prompt engineering. This makes us all prompt engineers to a certain degree.

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#49 Why Become an LLM Developer?

Towards AI

This week, I am super excited to finally announce that we released our first independent industry-focus course: From Beginner to Advanced LLM Developer. Put a dozen experts (frustrated ex-PhDs, graduates, and industry) and a year of dedicated work, and you get the most practical and in-depth LLM Developer course out there (~90 lessons).

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WTF is prompt engineering?

Flipboard

When talking to newsroom leaders about their experiments with generative AI, a new term has cropped up: prompt engineering. Prompt engineering is necessary for most interactions with LLMs, especially for publishers developing specific chatbots and quizzes. WTF is prompt engineering?

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Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API. You can use creativity and trial-and-error methods to create a collection on input prompts, so the application works as expected.

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Are RAGs the Solution to AI Hallucinations?

Unite.AI

Built on large language models (LLMs), these solutions are often informed by vast amounts of disparate sources that are likely to contain at least some inaccurate or outdated information – these fabricated answers make up between 3% and 10% of AI chatbot-generated responses to user prompts.

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A General Introduction to Large Language Model (LLM)

Artificial Corner

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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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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