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OpenAI Playground is a cutting-edge web-based tool designed to facilitate the construction and evaluation of predictive language models. Unlike ChatGPT, which excels at understanding context and can produce high-quality content even with vague prompts, OpenAI Playground requires specific prompts and settings for better-quality outputs. The tool boasts many purpose-specific preset prompts, ensuring seamless customisation through adjustable parameters such as the model, response length, and temperature. OpenAI Playground also accommodates diverse base language models, allowing users to handpick the one that perfectly resonates with their preferred conversational style. OpenAI Playground's Pros: Preset options for different tasks, such as text-to-command and translation Suited for specific use cases where preset models and settings are needed OpenAI Playground's Cons: Requires specific prompts and settings for better-quality outputs It can be challenging to use if you're not familiar with LLMs OpenAI Playground's Pricing: OpenAI Playground offers a comprehensive pricing structure based on the number of tokens used. 1 word = 1 token For example, Chat, model gpt-3.5-turbo costs $0.002 for 1K tokens, while InstructGPT, model Davinci costs $0.0200 for 1K tokens.

Accessible Edition To make 'The Art of Prompt Engineering with ChatGPT' as beautiful as possible we designed the layout and published it here as a pdf. However, this wasn't the best option for those who used a kindle to read, or for those who had accessibility needs. So this is the accessible edition, rebuilt using a reflow able format. If you bought the original and need to use the accessibility features, just email us at nathan@ChatGPTtrainings.com. Let's move beyond basic examples and 'test this prompt.' ChatGPT is an amazing AI tool that can change the way we work. Bill Gates recently said that ChatGPT is as important an invention as the internet, and it could change the world. To make the most of ChatGPT and go beyond simple uses, you need to master prompt engineering. Check out a sample chapter: www.ChatGPTtrainings.com March Update - 2 New Sections with 34 More Pages of Content For this monthly update, we added a new section on Advanced Prompt Engineering to help you take your ChatGPT skills to a higher level once you've learned the basics. This section covers the co-creation approach, where you take control, and [format] your output, where you'll learn my favorite way to get the exact results you want. We also included a new section on GPT-4, with information on how to start, debunking past hype, and looking at some new improvements. This book will keep evolving as ChatGPT grows, making sure that everything you read and learn stays up-to-date and relevant. All updates are free and automatic for Kindle copies, and if you bought a hardcopy, you can email me at Nathan@ChatGPTtrainings.com with your proof of purchase to get a PDF update. Why This Book? This book helps you learn the art of working with ChatGPT to get much better results. This skill, prompt engineering, is what sets good apart from great when using ChatGPT. Learn 4 key techniques and tools for writing better prompts Master 2 advanced prompt engineering tools to take your skills further F

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The fifth edition of this book continues to provide a balanced perspective on the language schools, theories, and applications of artificial intelligence. These diverse branches are unified through detailed discussions of AI's theoretical foundations. The book is broken down into six parts to provide readers complete coverage of AI. It begins by introducing AI concepts, moves into a discussion on the research tools needs for AI problem solving, and then demonstrates representations for AI and knowledge-sensitive problem solving. The second half of the book offers an extensive presentation of issues in machine learning, continues presenting important AI application areas, and presents Lisp and Prolog to the reader. This book is appropriate for programmers both as an introduction to and a reference of the theoretical foundations of artificial intelligence.

Transformers have now become the defacto standard for NLP tasks. Originally developed for sequence transduction processes such as speech recognition, translation, and text to speech, transformers work by using convolutional neural networks together with attention models, making them much more efficient than previous architectures. And although transformers were developed for NLP, they've also been implemented in the fields of computer vision and music generation. However, for all their wide and varied uses, transformers are still very difficult to understand, which is why I wrote a detailed post describing how they work on a basic level. It covers the encoder and decoder architecture, and the whole dataflow through the different pieces of the neural network. In this post, we'll get deeper into looking at transformers by implementing our own English to German language translator.

Kool place to shop for parts.....

ChapterGPT: The #1 Artificial Intelligence tool for automatically creating timestamp chapters for your videos and podcasts in minutes (chapterme.co).

Tiledesk: Combine Chatbots & Live Chat for boosted ROI, one inbox for all channels (tiledesk.com).

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Img2prompt: Generate text prompt for image, optimized for stable-diffusion (ViT-L/14) (replicate.com).

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Food for Blood Pressure: Web meal planner for managing high blood pressure (foodforbp.com).

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Looking for solutions for 'cannot access ChatGPT Error 1101?' Explore this post for the top 12 fixes to resolve 'cannot access ChatGPT Error 1101' efficiently. Read on! #ChatGPTerror1101 #ChatGPTerror #ChatGPT #chatGPTproblems #AI #techissues #techsupportcommunity

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